diff --git a/poetry.lock b/poetry.lock
index 3b7e0be15..5823e21cf 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.8.1 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand.
 
 [[package]]
 name = "aiofiles"
@@ -367,6 +367,69 @@ files = [
 construct = "2.10.68"
 typing-extensions = ">=4.6.0"
 
+[[package]]
+name = "contourpy"
+version = "1.2.1"
+description = "Python library for calculating contours of 2D quadrilateral grids"
+optional = false
+python-versions = ">=3.9"
+files = [
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+]
+
+[package.dependencies]
+numpy = ">=1.20"
+
+[package.extras]
+bokeh = ["bokeh", "selenium"]
+docs = ["furo", "sphinx (>=7.2)", "sphinx-copybutton"]
+mypy = ["contourpy[bokeh,docs]", "docutils-stubs", "mypy (==1.8.0)", "types-Pillow"]
+test = ["Pillow", "contourpy[test-no-images]", "matplotlib"]
+test-no-images = ["pytest", "pytest-cov", "pytest-xdist", "wurlitzer"]
+
 [[package]]
 name = "coverage"
 version = "7.6.0"
@@ -431,6 +494,21 @@ files = [
 [package.extras]
 toml = ["tomli"]
 
+[[package]]
+name = "cycler"
+version = "0.12.1"
+description = "Composable style cycles"
+optional = false
+python-versions = ">=3.8"
+files = [
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+    {file = "cycler-0.12.1.tar.gz", hash = "sha256:88bb128f02ba341da8ef447245a9e138fae777f6a23943da4540077d3601eb1c"},
+]
+
+[package.extras]
+docs = ["ipython", "matplotlib", "numpydoc", "sphinx"]
+tests = ["pytest", "pytest-cov", "pytest-xdist"]
+
 [[package]]
 name = "docstring-to-markdown"
 version = "0.15"
@@ -453,6 +531,17 @@ files = [
     {file = "docutils-0.20.1.tar.gz", hash = "sha256:f08a4e276c3a1583a86dce3e34aba3fe04d02bba2dd51ed16106244e8a923e3b"},
 ]
 
+[[package]]
+name = "et-xmlfile"
+version = "1.1.0"
+description = "An implementation of lxml.xmlfile for the standard library"
+optional = false
+python-versions = ">=3.6"
+files = [
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+]
+
 [[package]]
 name = "exitcode"
 version = "0.1.0"
@@ -464,6 +553,71 @@ files = [
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 ]
 
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+version = "4.53.1"
+description = "Tools to manipulate font files"
+optional = false
+python-versions = ">=3.8"
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+    {file = "pillow-10.4.0-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:cfdd747216947628af7b259d274771d84db2268ca062dd5faf373639d00113a3"},
+    {file = "pillow-10.4.0.tar.gz", hash = "sha256:166c1cd4d24309b30d61f79f4a9114b7b2313d7450912277855ff5dfd7cd4a06"},
+]
+
+[package.extras]
+docs = ["furo", "olefile", "sphinx (>=7.3)", "sphinx-copybutton", "sphinx-inline-tabs", "sphinxext-opengraph"]
+fpx = ["olefile"]
+mic = ["olefile"]
+tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout"]
+typing = ["typing-extensions"]
+xmp = ["defusedxml"]
+
 [[package]]
 name = "platformdirs"
 version = "4.2.2"
@@ -1251,22 +1805,36 @@ rope = ">=0.21.0"
 dev = ["build", "pytest", "twine"]
 test = ["flake8", "pytest", "pytest-cov"]
 
+[[package]]
+name = "pyparsing"
+version = "3.1.2"
+description = "pyparsing module - Classes and methods to define and execute parsing grammars"
+optional = false
+python-versions = ">=3.6.8"
+files = [
+    {file = "pyparsing-3.1.2-py3-none-any.whl", hash = "sha256:f9db75911801ed778fe61bb643079ff86601aca99fcae6345aa67292038fb742"},
+    {file = "pyparsing-3.1.2.tar.gz", hash = "sha256:a1bac0ce561155ecc3ed78ca94d3c9378656ad4c94c1270de543f621420f94ad"},
+]
+
+[package.extras]
+diagrams = ["jinja2", "railroad-diagrams"]
+
 [[package]]
 name = "pytest"
-version = "8.2.2"
+version = "8.3.1"
 description = "pytest: simple powerful testing with Python"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "pytest-8.2.2-py3-none-any.whl", hash = "sha256:c434598117762e2bd304e526244f67bf66bbd7b5d6cf22138be51ff661980343"},
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+    {file = "pytest-8.3.1-py3-none-any.whl", hash = "sha256:e9600ccf4f563976e2c99fa02c7624ab938296551f280835ee6516df8bc4ae8c"},
+    {file = "pytest-8.3.1.tar.gz", hash = "sha256:7e8e5c5abd6e93cb1cc151f23e57adc31fcf8cfd2a3ff2da63e23f732de35db6"},
 ]
 
 [package.dependencies]
 colorama = {version = "*", markers = "sys_platform == \"win32\""}
 iniconfig = "*"
 packaging = "*"
-pluggy = ">=1.5,<2.0"
+pluggy = ">=1.5,<2"
 
 [package.extras]
 dev = ["argcomplete", "attrs (>=19.2)", "hypothesis (>=3.56)", "mock", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"]
@@ -1342,6 +1910,20 @@ serial = ["pyserial (>=3.0,<4.0)"]
 sontheim = ["python-can-sontheim (>=0.1.2)"]
 viewer = ["windows-curses"]
 
+[[package]]
+name = "python-dateutil"
+version = "2.9.0.post0"
+description = "Extensions to the standard Python datetime module"
+optional = false
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
+files = [
+    {file = "python-dateutil-2.9.0.post0.tar.gz", hash = "sha256:37dd54208da7e1cd875388217d5e00ebd4179249f90fb72437e91a35459a0ad3"},
+    {file = "python_dateutil-2.9.0.post0-py2.py3-none-any.whl", hash = "sha256:a8b2bc7bffae282281c8140a97d3aa9c14da0b136dfe83f850eea9a5f7470427"},
+]
+
+[package.dependencies]
+six = ">=1.5"
+
 [[package]]
 name = "python-debian"
 version = "0.1.49"
@@ -1426,6 +2008,17 @@ gendocs = ["pytoolconfig[doc]", "sphinx (>=7.1.2)", "sphinx-autodoc-typehints (>
 global = ["platformdirs (>=3.11.0)"]
 validation = ["pydantic (>=2.5.3)"]
 
+[[package]]
+name = "pytz"
+version = "2024.1"
+description = "World timezone definitions, modern and historical"
+optional = false
+python-versions = "*"
+files = [
+    {file = "pytz-2024.1-py2.py3-none-any.whl", hash = "sha256:328171f4e3623139da4983451950b28e95ac706e13f3f2630a879749e7a8b319"},
+    {file = "pytz-2024.1.tar.gz", hash = "sha256:2a29735ea9c18baf14b448846bde5a48030ed267578472d8955cd0e7443a9812"},
+]
+
 [[package]]
 name = "pywin32"
 version = "306"
@@ -1474,7 +2067,6 @@ files = [
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@@ -1571,29 +2163,40 @@ release = ["pip-tools (>=6.12.1)", "toml (>=0.10.2)", "twine (>=4.0.2)"]
 
 [[package]]
 name = "ruff"
-version = "0.5.2"
+version = "0.5.4"
 description = "An extremely fast Python linter and code formatter, written in Rust."
 optional = false
 python-versions = ">=3.7"
 files = [
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+    {file = "ruff-0.5.4.tar.gz", hash = "sha256:2795726d5f71c4f4e70653273d1c23a8182f07dd8e48c12de5d867bfb7557eed"},
+]
+
+[[package]]
+name = "six"
+version = "1.16.0"
+description = "Python 2 and 3 compatibility utilities"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
+files = [
+    {file = "six-1.16.0-py2.py3-none-any.whl", hash = "sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254"},
+    {file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"},
 ]
 
 [[package]]
@@ -1620,13 +2223,13 @@ files = [
 
 [[package]]
 name = "sphinx"
-version = "7.4.6"
+version = "7.4.7"
 description = "Python documentation generator"
 optional = false
 python-versions = ">=3.9"
 files = [
-    {file = "sphinx-7.4.6-py3-none-any.whl", hash = "sha256:915760d6188288a1e30c2cd0d9fa31b1b009bc6e6019cc0c32d16c77d20e86d9"},
-    {file = "sphinx-7.4.6.tar.gz", hash = "sha256:116918d455c493fff3178edea12b4fe1c1e4894680fd81e7b7431ea21d47ca52"},
+    {file = "sphinx-7.4.7-py3-none-any.whl", hash = "sha256:c2419e2135d11f1951cd994d6eb18a1835bd8fdd8429f9ca375dc1f3281bd239"},
+    {file = "sphinx-7.4.7.tar.gz", hash = "sha256:242f92a7ea7e6c5b406fdc2615413890ba9f699114a9c09192d7dfead2ee9cfe"},
 ]
 
 [package.dependencies]
@@ -1705,13 +2308,13 @@ test = ["pytest"]
 
 [[package]]
 name = "sphinxcontrib-htmlhelp"
-version = "2.0.5"
+version = "2.0.6"
 description = "sphinxcontrib-htmlhelp is a sphinx extension which renders HTML help files"
 optional = false
 python-versions = ">=3.9"
 files = [
-    {file = "sphinxcontrib_htmlhelp-2.0.5-py3-none-any.whl", hash = "sha256:393f04f112b4d2f53d93448d4bce35842f62b307ccdc549ec1585e950bc35e04"},
-    {file = "sphinxcontrib_htmlhelp-2.0.5.tar.gz", hash = "sha256:0dc87637d5de53dd5eec3a6a01753b1ccf99494bd756aafecd74b4fa9e729015"},
+    {file = "sphinxcontrib_htmlhelp-2.0.6-py3-none-any.whl", hash = "sha256:1b9af5a2671a61410a868fce050cab7ca393c218e6205cbc7f590136f207395c"},
+    {file = "sphinxcontrib_htmlhelp-2.0.6.tar.gz", hash = "sha256:c6597da06185f0e3b4dc952777a04200611ef563882e0c244d27a15ee22afa73"},
 ]
 
 [package.extras]
@@ -1749,19 +2352,19 @@ test = ["flake8", "mypy", "pytest"]
 
 [[package]]
 name = "sphinxcontrib-qthelp"
-version = "1.0.7"
+version = "1.0.8"
 description = "sphinxcontrib-qthelp is a sphinx extension which outputs QtHelp documents"
 optional = false
 python-versions = ">=3.9"
 files = [
-    {file = "sphinxcontrib_qthelp-1.0.7-py3-none-any.whl", hash = "sha256:e2ae3b5c492d58fcbd73281fbd27e34b8393ec34a073c792642cd8e529288182"},
-    {file = "sphinxcontrib_qthelp-1.0.7.tar.gz", hash = "sha256:053dedc38823a80a7209a80860b16b722e9e0209e32fea98c90e4e6624588ed6"},
+    {file = "sphinxcontrib_qthelp-1.0.8-py3-none-any.whl", hash = "sha256:323d6acc4189af76dfe94edd2a27d458902319b60fcca2aeef3b2180c106a75f"},
+    {file = "sphinxcontrib_qthelp-1.0.8.tar.gz", hash = "sha256:db3f8fa10789c7a8e76d173c23364bdf0ebcd9449969a9e6a3dd31b8b7469f03"},
 ]
 
 [package.extras]
 lint = ["docutils-stubs", "flake8", "mypy"]
 standalone = ["Sphinx (>=5)"]
-test = ["pytest"]
+test = ["defusedxml (>=0.7.1)", "pytest"]
 
 [[package]]
 name = "sphinxcontrib-serializinghtml"
@@ -1826,6 +2429,17 @@ files = [
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 ]
 
+[[package]]
+name = "types-openpyxl"
+version = "3.1.5.20240719"
+description = "Typing stubs for openpyxl"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "types-openpyxl-3.1.5.20240719.tar.gz", hash = "sha256:46c7167e0a2998b7d76d9d9f25eb7bca3f94409dbeddabdc5c9ff93c1e49f503"},
+    {file = "types_openpyxl-3.1.5.20240719-py3-none-any.whl", hash = "sha256:b629c8c4f22bf9395eac59698ae320159d5090080d757d0950852dacae93fb0b"},
+]
+
 [[package]]
 name = "types-psutil"
 version = "6.0.0.20240621"
@@ -1837,6 +2451,17 @@ files = [
     {file = "types_psutil-6.0.0.20240621-py3-none-any.whl", hash = "sha256:b02f05d2c4141cd5926d82d8b56e4292a4d8f483d8a3400b73edf153834a3c64"},
 ]
 
+[[package]]
+name = "types-pytz"
+version = "2024.1.0.20240417"
+description = "Typing stubs for pytz"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "types-pytz-2024.1.0.20240417.tar.gz", hash = "sha256:6810c8a1f68f21fdf0f4f374a432487c77645a0ac0b31de4bf4690cf21ad3981"},
+    {file = "types_pytz-2024.1.0.20240417-py3-none-any.whl", hash = "sha256:8335d443310e2db7b74e007414e74c4f53b67452c0cb0d228ca359ccfba59659"},
+]
+
 [[package]]
 name = "types-tabulate"
 version = "0.9.0.20240106"
@@ -2157,4 +2782,4 @@ cffi = ["cffi (>=1.11)"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.11,<3.13"
-content-hash = "d952c50a017dc6f278a22bab11f2c8b917cf539f8a85fba4c8a3e759ec7486a5"
+content-hash = "f66f146f73a9a0fa574e72b02ff66f79e17c9b04adf64ef605c1bf9e46c55969"
diff --git a/pyproject.toml b/pyproject.toml
index e08e45b48..31e44d77d 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -49,6 +49,14 @@ exitcode = "^0.1.0"
 psutil = ">=5.9.4,<7.0.0"
 httpx = ">=0.26,<0.28"
 more-itertools = "^10.3.0"
+# A list of all of the optional dependencies, some of which are included in the
+# below `extras`. They can be opted into by apps.
+numpy = "^1.21.4"
+openpyxl = "^3.0.9"
+pandas = "^1.3.4"
+matplotlib = "^3.4.3"
+pandas-stubs = "^2.2.2.240603"
+types-openpyxl = "^3.1.5.20240719"
 
 [tool.poetry.group.dev.dependencies]
 Sphinx = ">=5.2,<8.0"
@@ -67,6 +75,7 @@ reuse = "^4.0"
 construct-typing = ">=0.5.2,<0.7.0"
 pytest-cov = ">=4,<6"
 ruff = "^0.5.0"
+openpyxl-stubs = "^0.1.21"
 
 [tool.poetry.scripts]
 "gallia" = "gallia.cli:main"
diff --git a/src/gallia/analyzer/__init__.py b/src/gallia/analyzer/__init__.py
new file mode 100644
index 000000000..eea379e46
--- /dev/null
+++ b/src/gallia/analyzer/__init__.py
@@ -0,0 +1,3 @@
+# SPDX-FileCopyrightText: AISEC Pentesting Team
+#
+# SPDX-License-Identifier: Apache-2.0
diff --git a/src/gallia/analyzer/analyzer.py b/src/gallia/analyzer/analyzer.py
new file mode 100644
index 000000000..72eb5ad2d
--- /dev/null
+++ b/src/gallia/analyzer/analyzer.py
@@ -0,0 +1,472 @@
+# SPDX-FileCopyrightText: AISEC Pentesting Team
+#
+# SPDX-License-Identifier: Apache-2.0
+
+"""
+gallia-analyze Analyzer module
+"""
+import json
+from json.decoder import JSONDecodeError
+from pathlib import Path
+from sqlite3 import OperationalError
+import textwrap
+from typing import Tuple
+import numpy as np
+from pandas.core.indexing import IndexingError
+from gallia.analyzer.operator import Operator
+from gallia.analyzer.config import SrcPath
+from gallia.analyzer.mode_config import LogMode, ScanMode, OpMode
+from gallia.analyzer.name_config import ColNm, KyNm, TblNm, VwNm, NEG_STR
+from gallia.services.uds.core.utils import g_repr
+
+
+class Analyzer(Operator):
+    """
+    Analyzer class for categorizing failures(undocumented, missing)
+    at each scan mode(scan_service, scan_identifier)
+    and operation mode(ISO or vendor-specific).
+    """
+
+    def __init__(
+        self,
+        path: str,
+        artifacts_dir: Path,
+        log_mode: LogMode = LogMode.STD_OUT,
+        debug_on: bool = False,
+    ):
+        Operator.__init__(self, path, log_mode)
+        self.debug_on = debug_on
+        self.debug_dir = artifacts_dir.joinpath("debug")
+        if debug_on:
+            self.debug_dir.mkdir()
+        self.artifacts_dir = artifacts_dir
+
+    def analyze(self, runs_vec: np.ndarray, op_mode: OpMode = OpMode.VEN_SPEC) -> bool:
+        """
+        analyze given input runs at a given operation mode.
+        """
+        if not self.load_meta(force=True):
+            return False
+        if op_mode == OpMode.VEN_SPEC:
+            if not self.load_ven_lu():
+                return False
+            if not self.load_ven_sess():
+                return False
+        for run in runs_vec:
+            self.analyze_each_run(run, op_mode)
+        return True
+
+    def analyze_each_run(self, run: int, op_mode: OpMode) -> bool:
+        """
+        analyze certain run at a given operation mode.
+        """
+        self.logger.result(f"analyzing run #{str(run)} from {self.db_path} ...")
+        scan_mode = self.get_scan_mode(run)
+        if scan_mode == ScanMode.SERV:
+            if not self.reset(TblNm.serv, run):
+                return False
+            return self.analyze_serv(run, op_mode)
+        if scan_mode == ScanMode.IDEN:
+            if not self.reset(TblNm.iden, run):
+                return False
+            return self.analyze_iden(run, op_mode)
+        return False
+
+    def reset(self, table_name: str, run: int) -> bool:
+        """
+        reset analysis results in relational table in database.
+        """
+        reset_sql = f"""
+        UPDATE "{table_name}" SET "{ColNm.fail}" = 255 WHERE "{ColNm.run}" = {str(run)};
+        """
+        try:
+            self.cur.executescript(reset_sql)
+            self.con.commit()
+        except (OperationalError, FileNotFoundError, KeyError) as exc:
+            self.logger.error(f"resetting analysis in place failed: {g_repr(exc)}")
+            return False
+        return True
+
+    def analyze_serv(self, run: int, op_mode: OpMode) -> bool:
+        """
+        analyze scan_service result data for certain run at a given operation mode
+        without using data frame direct in data base.
+        """
+        try:
+            ecu_mode = self.get_ecu_mode(run)
+            self.prepare_alwd_all(ecu_mode, op_mode)
+            with open(SrcPath.cond_src, encoding="utf8") as source_json:
+                cond_ls = json.load(source_json)
+            analyze_sql = ""
+            for cond_dict in cond_ls:
+                try:
+                    if cond_dict[KyNm.scan_mode] == KyNm.scan_serv:
+                        fail, cond = self.interpret(cond_dict, op_mode, ScanMode.SERV)
+                        update_sql = (
+                            f"""UPDATE "{TblNm.serv}" """
+                            + f"""SET "{ColNm.fail}" = {fail} """
+                            + f"""WHERE "{ColNm.run}" = {str(run)} """
+                            + f"""AND "{ColNm.fail}" = 255{cond};\n"""
+                        )
+                        analyze_sql += update_sql
+                except KeyError as exc:
+                    self.logger.error(
+                        f"condition key reading failed: {g_repr(exc)}"
+                    )
+            if self.debug_on:
+                path = self.debug_dir.joinpath(f"analyze_serv_{str(run)}.sql")
+                with path.open("w", encoding="utf8") as file:
+                    file.write(analyze_sql)
+            self.cur.executescript(analyze_sql)
+            self.con.commit()
+            self.clear_alwd()
+        except (
+            OperationalError,
+            FileNotFoundError,
+            KeyError,
+            IndexingError,
+            AttributeError,
+            JSONDecodeError,
+            NotImplementedError,
+        ) as exc:
+            self.logger.error(
+                f"analyzing scan_service in place failed: {g_repr(exc)}"
+            )
+            return False
+        return True
+
+    def analyze_iden(self, run: int, op_mode: OpMode) -> bool:
+        """
+        analyze scan_identifier result data for certain run at a given operation mode
+        without using data frame direct in data base.
+        """
+        if op_mode == OpMode.ISO:
+            self.logger.warning(
+                "ISO Standard analysis unavailable for scan_identifier"
+            )
+            return False
+        self.prepare_alwd_res()
+        try:
+            with open(SrcPath.cond_src, encoding="utf8") as src_json:
+                cond_ls = json.load(src_json)
+            serv = self.get_sid(run)
+            if serv == -1:
+                return False
+            create_view_sql = f"""
+            DROP VIEW IF EXISTS "{VwNm.sess_alwd}";
+            CREATE VIEW "{VwNm.sess_alwd}"
+            AS SELECT "{ColNm.sess}"
+            FROM "{TblNm.ven_lu}"
+            WHERE "{ColNm.serv}" = {serv}
+            GROUP BY "{ColNm.sess}";
+            DROP VIEW IF EXISTS "{VwNm.sbfn_alwd}";
+            CREATE VIEW "{VwNm.sbfn_alwd}"
+            AS SELECT "{ColNm.sbfn}"
+            FROM "{TblNm.ven_lu}"
+            WHERE "{ColNm.serv}" = {serv}
+            GROUP BY "{ColNm.sbfn}";
+            DROP VIEW IF EXISTS "{VwNm.resp_alwd}";
+            CREATE VIEW "{VwNm.resp_alwd}"
+            AS SELECT "{ColNm.resp}"
+            FROM "{TblNm.ref_resp}"
+            WHERE "{ColNm.serv}" = {serv}
+            GROUP BY "{ColNm.resp}";
+            DROP VIEW IF EXISTS "{VwNm.ref_vw}";
+            CREATE VIEW "{VwNm.ref_vw}"
+            AS SELECT "{ColNm.serv}", "{ColNm.sess}", "{ColNm.boot}",
+            "{ColNm.sbfn}", "{ColNm.iden}", "{ColNm.ecu_mode}"
+            FROM "{TblNm.ven_lu}" WHERE "{ColNm.serv}" = {serv};
+            """
+            analyze_sql = textwrap.dedent(create_view_sql) + "\n"
+            for cond_dict in cond_ls:
+                try:
+                    if cond_dict[KyNm.scan_mode] == KyNm.scan_iden:
+                        fail, cond = self.interpret(cond_dict, op_mode, ScanMode.IDEN)
+                        update_sql = (
+                            f"""UPDATE "{TblNm.iden}" """
+                            + f"""SET "{ColNm.fail}" = {fail} """
+                            + f"""WHERE "{ColNm.run}" = {str(run)} """
+                            + f"""AND "{ColNm.fail}" = 255{cond};\n"""
+                        )
+                        analyze_sql += update_sql
+                    else:
+                        pass
+                except KeyError as exc:
+                    self.logger.error(
+                        f"condition key reading failed: {g_repr(exc)}"
+                    )
+            drop_view_sql = f"""
+            DROP VIEW IF EXISTS "{VwNm.sess_alwd}";
+            DROP VIEW IF EXISTS "{VwNm.sbfn_alwd}";
+            DROP VIEW IF EXISTS "{VwNm.resp_alwd}";
+            DROP VIEW IF EXISTS "{VwNm.ref_vw}";
+            """
+            analyze_sql += textwrap.dedent(drop_view_sql) + "\n"
+            if self.debug_on:
+                path = self.debug_dir.joinpath(f"analyze_iden_{str(run)}.sql")
+                with path.open("w", encoding="utf8") as file:
+                    file.write(analyze_sql)
+            self.cur.executescript(analyze_sql)
+            self.con.commit()
+            self.clear_alwd()
+        except (
+            OperationalError,
+            FileNotFoundError,
+            KeyError,
+            IndexingError,
+            AttributeError,
+            JSONDecodeError,
+        ) as exc:
+            self.logger.error(
+                f"analyzing scan_identifier in place failed: {g_repr(exc)}"
+            )
+            return False
+        return True
+
+    def interpret(
+        self,
+        cond_dict: dict,
+        op_mode: OpMode,
+        scan_mode: ScanMode,
+    ) -> Tuple[int, str]:
+        """
+        interpret JSON conditions file and get failure condition partial SQL string.
+        """
+        cond = ""
+        try:
+            failure = self.fail_name_dict[cond_dict[KyNm.fail]]
+        except KeyError as exc:
+            self.logger.error(
+                f"getting failure condition from JSON failed: {g_repr(exc)}"
+            )
+            return 255, ""
+
+        if KyNm.match in cond_dict.keys():
+            cond = self.get_fail_cond_match(cond, cond_dict, scan_mode, op_mode)
+
+        if NEG_STR + KyNm.match in cond_dict.keys():
+            cond = self.get_fail_cond_match(
+                cond, cond_dict, scan_mode, op_mode, neg=True
+            )
+
+        if KyNm.resd in cond_dict.keys():
+            cond = self.get_fail_cond_resp(cond, cond_dict)
+
+        if NEG_STR + KyNm.resd in cond_dict.keys():
+            cond = self.get_fail_cond_resp(cond, cond_dict, neg=True)
+
+        if KyNm.supp in cond_dict.keys():
+            cond = self.get_fail_cond_supp(cond, cond_dict, scan_mode, op_mode)
+
+        if NEG_STR + KyNm.supp in cond_dict.keys():
+            cond = self.get_fail_cond_supp(
+                cond, cond_dict, scan_mode, op_mode, neg=True
+            )
+
+        if KyNm.for_serv in cond_dict.keys():
+            cond = self.get_fail_cond_for_serv(cond, cond_dict)
+
+        if NEG_STR + KyNm.for_serv in cond_dict.keys():
+            cond = self.get_fail_cond_for_serv(cond, cond_dict, neg=True)
+
+        if KyNm.known in cond_dict.keys():
+            cond = self.get_fail_cond_known(cond, cond_dict)
+
+        if NEG_STR + KyNm.known in cond_dict.keys():
+            cond = self.get_fail_cond_known(cond, cond_dict, neg=True)
+
+        return failure, cond
+
+    def get_neg_str(self, neg: bool = False) -> str:
+        """
+        get negative prefix for SQL query and condition key.
+        """
+        if neg:
+            return NEG_STR
+        else:
+            return ""
+
+    def get_fail_cond_match(
+        self,
+        cond: str,
+        cond_dict: dict,
+        scan_mode: ScanMode,
+        op_mode: OpMode = OpMode.VEN_SPEC,
+        neg: bool = False,
+    ) -> str:
+        """
+        get failure condition SQL query for the keyword 'match'.
+        """
+        if op_mode == OpMode.VEN_SPEC and scan_mode == ScanMode.IDEN:
+            ref_cols = ""
+            neg_str = self.get_neg_str(neg)
+            try:
+                for ref_col in cond_dict[neg_str + KyNm.match]:
+                    if ref_col in (
+                        ColNm.sess,
+                        ColNm.serv,
+                        ColNm.sbfn,
+                        ColNm.iden,
+                        ColNm.ecu_mode,
+                        ColNm.boot,
+                    ):
+                        ref_cols = ref_cols + f""""{ref_col}"||"/"||"""
+                ref_cols = ref_cols[:-7]
+                add_cond = (
+                    f""" AND ({ref_cols}) {neg_str}IN """
+                    + f"""(SELECT({ref_cols} ) FROM "{VwNm.ref_vw}")"""
+                )
+            except KeyError as exc:
+                self.logger.error(
+                    f"condition key reading failed at '{neg_str}{KyNm.match}': {g_repr(exc)}"
+                )
+                add_cond = ""
+        return cond + " " + textwrap.dedent(add_cond)
+
+    def get_fail_cond_resp(self, cond: str, cond_dict: dict, neg: bool = False) -> str:
+        """
+        get failure condition SQL query for the keyword 'responded'.
+        """
+        try:
+            neg_str = self.get_neg_str(neg)
+            add_cond = f""" AND "{ColNm.resp}" {neg_str}IN ("""
+            for resp_name in cond_dict[neg_str + KyNm.resd]:
+                if str(resp_name).strip("-").isnumeric():
+                    add_cond += str(resp_name) + ","
+                else:
+                    add_cond += str(self.iso_err_name_dict[resp_name]) + ","
+            add_cond = add_cond[:-1] + ")"
+        except KeyError as exc:
+            self.logger.error(
+                f"condition key reading failed at '{neg_str}{KyNm.resd}': {g_repr(exc)}"
+            )
+            add_cond = ""
+        return cond + " " + textwrap.dedent(add_cond)
+
+    def get_fail_cond_supp(
+        self,
+        cond: str,
+        cond_dict: dict,
+        scan_mode: ScanMode,
+        op_mode: OpMode = OpMode.VEN_SPEC,
+        neg: bool = False,
+    ) -> str:
+        """
+        get failure condition SQL query for the keyword 'supported'.
+        """
+        neg_str = self.get_neg_str(neg)
+        if op_mode == OpMode.ISO:
+            supp_serv_vec = self.supp_serv_iso_vec
+        if op_mode == OpMode.VEN_SPEC:
+            supp_serv_vec = self.supp_serv_ven_vec
+        try:
+            add_cond = ""
+            supp_ls = cond_dict[neg_str + KyNm.supp]
+            if ColNm.serv in supp_ls:
+                add_cond = f""" AND "{ColNm.serv}" {neg_str}IN ("""
+                for serv in supp_serv_vec:
+                    add_cond += str(serv) + ","
+                cond += add_cond[:-1] + ")"
+            if ColNm.sess in supp_ls:
+                if scan_mode == ScanMode.IDEN:
+                    add_cond = (
+                        f""" AND "{ColNm.sess}" {neg_str}IN """
+                        + f"""(SELECT * FROM "{VwNm.sess_alwd}")"""
+                    )
+                if scan_mode == ScanMode.SERV:
+                    if op_mode == OpMode.ISO:
+                        add_cond = (
+                            f""" AND ("{ColNm.serv}"||"/"||"{ColNm.sess}") """
+                            + f"""{neg_str}IN (SELECT("{ColNm.serv}"||"/"||"{ColNm.sess}") """
+                            + f"""FROM "{TblNm.ref_sess}")"""
+                        )
+                    if op_mode == OpMode.VEN_SPEC:
+                        add_cond = (
+                            f""" AND ("{ColNm.serv}"||"/"||"{ColNm.sess}"||"/"||"{ColNm.boot}") """
+                            + f"""{neg_str}IN (SELECT("{ColNm.serv}"||"/"||"{ColNm.sess}"||"/"||"{ColNm.boot}") """
+                            + f"""FROM "{TblNm.ref_sess}")"""
+                        )
+                cond += add_cond
+            if ColNm.sbfn in supp_ls:
+                if scan_mode == ScanMode.IDEN:
+                    add_cond = (
+                        f""" AND "{ColNm.sbfn}" {neg_str}IN """
+                        + f"""(SELECT * FROM "{VwNm.sbfn_alwd}")"""
+                    )
+                if scan_mode == ScanMode.SERV:
+                    add_cond = (
+                        f""" AND ("{ColNm.serv}"||"/"||"{ColNm.sbfn}") """
+                        + f"""{neg_str}IN (SELECT("{ColNm.serv}"||"/"||"{ColNm.sbfn}") """
+                        + f"""FROM "{TblNm.ref_sbfn}")"""
+                    )
+                cond += add_cond
+            if ColNm.resp in supp_ls:
+                if scan_mode == ScanMode.IDEN:
+                    add_cond = (
+                        f""" AND "{ColNm.resp}" {neg_str}IN """
+                        + f"""(SELECT * FROM "{VwNm.resp_alwd}")"""
+                    )
+                if scan_mode == ScanMode.SERV:
+                    add_cond = (
+                        f""" AND ("{ColNm.serv}"||"/"||"{ColNm.resp}") """
+                        + f"""{neg_str}IN (SELECT("{ColNm.serv}"||"/"||"{ColNm.resp}") """
+                        + f"""FROM "{TblNm.ref_resp}")"""
+                    )
+                cond += add_cond
+        except KeyError as exc:
+            self.logger.error(
+                f"condition key reading failed at '{neg_str}{KyNm.supp}': {g_repr(exc)}"
+            )
+        return cond
+
+    def get_fail_cond_for_serv(
+        self, cond: str, cond_dict: dict, neg: bool = False
+    ) -> str:
+        """
+        get failure condition SQL query for the keyword 'for service'.
+        """
+        neg_str = self.get_neg_str(neg)
+        try:
+            add_cond = f""" AND "{ColNm.serv}" {neg_str}IN ("""
+            for serv_name in cond_dict[neg_str + KyNm.for_serv]:
+                if str(serv_name).strip("-").isnumeric():
+                    add_cond += str(serv_name) + ","
+                else:
+                    add_cond += str(self.iso_serv_name_dict[serv_name]) + ","
+            add_cond = add_cond[:-1] + ")"
+        except KeyError as exc:
+            self.logger.error(
+                f"condition key reading failed at '{neg_str}{KyNm.for_serv}': {g_repr(exc)}"
+            )
+            return cond
+        return cond + " " + add_cond
+
+    def get_fail_cond_known(self, cond: str, cond_dict: dict, neg: bool = False) -> str:
+        """
+        get failure condition SQL query for the keyword 'known'.
+        """
+        neg_str = self.get_neg_str(neg)
+        try:
+            unknown_ls = cond_dict[neg_str + KyNm.known]
+            if ColNm.serv in unknown_ls:
+                add_cond = f""" AND "{ColNm.serv}" {neg_str}IN ("""
+                for serv in self.iso_serv_code_vec:
+                    add_cond += str(serv) + ","
+                add_cond = add_cond[:-1]
+                cond += add_cond + ")"
+            if ColNm.sess in unknown_ls:
+                add_cond = f""" AND "{ColNm.sess}" {neg_str}IN ("""
+                for sess in self.sess_code_vec:
+                    add_cond += str(sess) + ","
+                add_cond = add_cond[:-1]
+                cond += add_cond + ")"
+            if ColNm.resp in unknown_ls:
+                add_cond = f""" AND "{ColNm.resp}" {neg_str}IN ("""
+                for resp in self.iso_err_code_vec:
+                    add_cond += str(resp) + ","
+                cond += add_cond[:-1] + ")"
+        except KeyError as exc:
+            self.logger.error(
+                f"condition key reading failed at '{neg_str}{KyNm.known}': {g_repr(exc)}"
+            )
+        return cond
diff --git a/src/gallia/analyzer/arg_help.py b/src/gallia/analyzer/arg_help.py
new file mode 100644
index 000000000..c8a4ca76c
--- /dev/null
+++ b/src/gallia/analyzer/arg_help.py
@@ -0,0 +1,95 @@
+# SPDX-FileCopyrightText: AISEC Pentesting Team
+#
+# SPDX-License-Identifier: Apache-2.0
+
+"""
+gallia-analyze module for argument help texts
+"""
+
+
+class ArgHelp:
+    """
+    class for argument help text
+    """
+
+    main = """
+    gallia-analyze, version 0.1.0
+    Extract, analyze and visualize data obtained from gallia scan_service and scan_identifier.
+    """
+
+    usage = """
+    ex) execute all the analysis and reporting operations in a sequence for runs 1 to 5.
+    > gallia-analyze --source [database file path] -near --from 1 --to 5
+
+    ex) clear all the data and redo all the analysis operations in a sequence for all runs.
+    > gallia-analyze --source [database file path] -clean
+
+    Please refer to help for details.
+    > gallia-analye --help
+    """
+
+    # Commands
+    analyze = """
+    Categorize failures judging by parameters using vendor-specific lookup data as default.
+    """
+    clear = """
+    Clear all analyzed data in database.
+    """
+    extract = """
+    Extract JSON data, etc. from database and store into relational database.
+    """
+    aio_iden = """
+    Consolidate all scan_identifier runs into one EXCEL file sorted by ECU mode for a certain Service ID.
+    """
+    graph = """
+    Output reponse statistic graphs in PNG format.
+    """
+    report = """
+    Output reports in excel file.
+    """
+    aio_serv = """
+    Consolidate all scan_service runs into one EXCEL file sorted by ECU mode.
+    """
+    time = """
+    Conduct time analysis with reaction time.
+    """
+
+    # Options
+    all_serv = """
+    Iterate 'all-ECU-modes' reporting for all services by identifier defined in UDS ISO Standard.
+    """
+    debug = """
+    Use debug mode. Save SQL queries for analysis to SQL files.
+    """
+    iso = """
+    Use UDS ISO Standard while analyzing data.
+    """
+    log = """
+    Log messages to file.
+    """
+    possible = """
+    Show all possible service IDs or Identifiers on summary sheet.
+    """
+    cat = """
+    Use Categorizer(Analyzer based on pandas framework) instead of SQL-based Analyzer.
+    """
+
+    # Parameters
+    sid = """
+    Service ID to report for all ECU modes in one EXCEL file
+    """
+    first = """
+    The first run to process
+    """
+    last = """
+    The last run to process
+    """
+    output = """
+    Path of excel reports
+    """
+    source = """
+    Path of source database
+    """
+    prec = """
+    Time precision for time analysis. Defined as the number of digits in Unix time. ex) 19 = nanosecond
+    """
diff --git a/src/gallia/analyzer/categorizer.py b/src/gallia/analyzer/categorizer.py
new file mode 100644
index 000000000..197115da5
--- /dev/null
+++ b/src/gallia/analyzer/categorizer.py
@@ -0,0 +1,420 @@
+# SPDX-FileCopyrightText: AISEC Pentesting Team
+#
+# SPDX-License-Identifier: Apache-2.0
+
+"""
+gallia-analyze Categorizer module
+"""
+from pathlib import Path
+from sqlite3 import OperationalError
+from typing import cast
+
+import numpy as np
+import pandas as pd
+from gallia.analyzer.analyzer import Analyzer
+from gallia.analyzer.config import TblStruct
+from gallia.analyzer.failure import Failure
+from gallia.analyzer.mode_config import LogMode, OpMode
+from gallia.analyzer.name_config import ColNm, TblNm
+from gallia.analyzer.exceptions import EmptyTableException, ColumnMismatchException
+from gallia.services.uds.core.constants import UDSIsoServices, UDSErrorCodes
+from gallia.services.uds.core.utils import g_repr
+
+
+class Categorizer(Analyzer):
+    """
+    Categorizer class for analysis operation based on pandas.
+    Inherited from Analyzer.
+    """
+
+    def __init__(
+        self, path: str, artifacts_dir: Path, log_mode: LogMode = LogMode.STD_OUT
+    ):
+        Analyzer.__init__(self, path, artifacts_dir, log_mode)
+
+    def analyze_serv(self, run: int, op_mode: OpMode) -> bool:
+        """
+        analyze scan_service result data for certain run at a given analysis mode.
+        """
+        try:
+            raw_df = self.read_run_db(TblNm.serv, run)
+            self.check_df(raw_df, TblStruct.serv)
+            raw_df = self.categorize_serv(raw_df, op_mode)
+            if not self.delete_run_db(TblNm.serv, run):
+                return False
+            if not self.write_db(raw_df, TblNm.serv):
+                return False
+        except (EmptyTableException, ColumnMismatchException, OperationalError) as exc:
+            self.logger.error(f"analyzing scan_service failed: {g_repr(exc)}")
+            return False
+        return True
+
+    def analyze_iden(self, run: int, op_mode: OpMode) -> bool:
+        """
+        analyze scan_identifier result data for certain run at a given analysis mode.
+        """
+        try:
+            if not self.load_lu_iden(self.get_sid(run), self.get_ecu_mode(run)):
+                return False
+            raw_df = self.read_run_db(TblNm.iden, run)
+            self.check_df(raw_df, TblStruct.iden)
+            raw_df.set_index(ColNm.id, inplace=True)
+            raw_df = self.categorize_iden(raw_df, op_mode)
+            if not self.delete_run_db(TblNm.iden, run):
+                return False
+            if not self.write_db(raw_df, TblNm.iden):
+                return False
+        except (EmptyTableException, ColumnMismatchException, OperationalError) as exc:
+            self.logger.error(f"analyzing scan_identifier failed: {g_repr(exc)}")
+            return False
+        return True
+
+    def categorize_serv(
+        self, raw_df: pd.DataFrame, op_mode: OpMode = OpMode.VEN_SPEC
+    ) -> pd.DataFrame:
+        """
+        categorize failures for scan_service.
+        """
+        try:
+            raw_df[ColNm.combi] = list(
+                zip(
+                    raw_df[ColNm.serv],
+                    raw_df[ColNm.sess],
+                    raw_df[ColNm.resp],
+                    raw_df[ColNm.ecu_mode],
+                )
+            )
+            raw_df.loc[:, ColNm.fail] = raw_df[ColNm.combi].apply(
+                lambda x: self.get_fail_serv(op_mode, x[0], x[1], x[2], x[3])
+            )
+            raw_df = raw_df.drop([ColNm.combi], axis=1)
+        except KeyError as exc:
+            self.logger.error(
+                f"categorizing failures for scan_service failed: {g_repr(exc)}"
+            )
+            return pd.DataFrame()
+        return raw_df
+
+    def categorize_iden(
+        self,
+        raw_df: pd.DataFrame,
+        ecu_mode: int,
+        op_mode: OpMode = OpMode.VEN_SPEC,
+    ) -> pd.DataFrame:
+        """
+        categorize failures for scan_identifier.
+        """
+        try:
+            serv_vec = np.unique(raw_df[ColNm.serv])
+            if not serv_vec.size == 1:
+                self.logger.error("more than one service in a run")
+                return pd.DataFrame()
+            else:
+                serv = serv_vec[0]
+                if not self.load_lu_iden(serv, ecu_mode):
+                    return pd.DataFrame()
+            raw_df[ColNm.combi] = list(
+                zip(
+                    raw_df[ColNm.sess],
+                    raw_df[ColNm.boot],
+                    raw_df[ColNm.sbfn],
+                    raw_df[ColNm.iden],
+                    raw_df[ColNm.resp],
+                    raw_df[ColNm.ecu_mode],
+                )
+            )
+            raw_df.loc[:, ColNm.fail] = raw_df[ColNm.combi].apply(
+                lambda x: self.get_fail_iden(
+                    op_mode, serv, x[0], x[1], x[2], x[3], x[4], x[5]
+                )
+            )
+            raw_df = raw_df.drop([ColNm.combi], axis=1)
+        except KeyError as exc:
+            self.logger.error(
+                f"categorizing failures for scan_identifier failed: {g_repr(exc)}"
+            )
+            return pd.DataFrame()
+        return raw_df
+
+    def check_sess_alwd(
+        self, serv: int, sess: int, op_mode: OpMode, ecu_mode: int
+    ) -> bool:
+        """
+        check if a certain diagnostic session is available or supported
+        for a certain service at given analysis mode.
+        """
+        if op_mode == OpMode.VEN_SPEC:
+            ref_df = cast(
+                pd.DataFrame, self.ref_ven_df[ecu_mode]
+            )  # this a nested DataFrame, which yields a DataFrame per ecu_mode
+        if op_mode == OpMode.ISO:
+            ref_df = self.ref_iso_df
+        if serv not in ref_df.index:
+            return False
+        return sess in cast(
+            list[int],
+            ref_df.loc[
+                serv, ColNm.sess
+            ],  # The session column is a list of supported session IDs
+        )
+
+    def check_resp_alwd(self, serv: int, resp: int) -> bool:
+        """
+        check if a certain response is available or supported for a certain service.
+        """
+        if serv not in list(self.ref_iso_df.index):
+            return False
+        return (
+            resp
+            in self.ref_iso_df.loc[serv, ColNm.resp]
+            + self.iso_supp_err_for_all_vec.tolist()
+        )
+
+    def check_sbfn_alwd(
+        self, serv: int, sbfn: int, op_mode: OpMode, ecu_mode: int
+    ) -> bool:
+        """
+        check if a certain sub-function is available or supported
+        for a certain service at given analysis mode.
+        """
+        if op_mode == OpMode.VEN_SPEC:
+            ref_df = cast(
+                pd.DataFrame, self.ref_ven_df[ecu_mode]
+            )  # this a nested DataFrame, which yields a DataFrame per ecu_mode
+        if op_mode == OpMode.ISO:
+            ref_df = self.ref_iso_df
+        if serv not in ref_df.index:
+            return False
+        return sbfn in cast(
+            list[int],
+            ref_df.loc[
+                serv, ColNm.sbfn
+            ],  # The sub-function column is a list of supported sub-functions
+        )
+
+    def get_fail_serv(
+        self,
+        op_mode: OpMode,
+        serv: int,
+        sess: int,
+        resp: int,
+        ecu_mode: int,
+    ) -> Failure:
+        """
+        get failure for given parameters, service, diagnostic session and response
+        at given analysis mode.
+        """
+        if op_mode == OpMode.VEN_SPEC:
+            supp_serv_vec = self.supp_serv_ven_vec
+        if op_mode == OpMode.ISO:
+            supp_serv_vec = self.supp_serv_iso_vec
+
+        cond_serv_known = serv in self.iso_serv_code_vec
+        cond_serv_supp = serv in supp_serv_vec
+        cond_resp_means_not_supp = resp in self.iso_err_means_not_supp_vec
+        cond_no_resp = resp == -1
+        cond_sess_alwd = self.check_sess_alwd(serv, sess, op_mode, ecu_mode)
+        cond_resp_alwd = self.check_resp_alwd(serv, resp)
+        cond_resp_serv_not_supp = resp == UDSErrorCodes.serviceNotSupported
+        cond_resp_serv_not_supp_in_cur_sess = (
+            resp == UDSErrorCodes.serviceNotSupportedInActiveSession
+        )
+        cond_resp_sbfn_not_supp = resp == UDSErrorCodes.subFunctionNotSupported
+
+        # invalid or unknown response
+        if resp == 0x80:
+            return Failure.UNDOC_SERV
+        if resp == 0xA0:
+            return Failure.UNDOC_SERV
+
+        if not cond_serv_known:
+            # normal responses to unknown services
+            if cond_resp_serv_not_supp:
+                return Failure.OK_SERV_A
+
+            # time out / no Response to unknown services
+            if cond_no_resp:
+                return Failure.OK_SERV_B
+
+        if not cond_serv_supp:
+            # normal responses to unsupported services
+            if cond_resp_means_not_supp:
+                return Failure.OK_SERV_C
+
+            # time out / no Response to unsupported services
+            if cond_no_resp:
+                return Failure.OK_SERV_D
+
+            # Undocumented Type A: services not defined in ISO standard
+            # or vendor-specific reference responded otherwise
+            if not cond_resp_means_not_supp and not cond_no_resp:
+                return Failure.UNDOC_SERV_A
+
+        if cond_serv_supp:
+            # normal response to supported services when they are not supported in active session
+            if not cond_sess_alwd:
+                if cond_resp_means_not_supp:
+                    return Failure.OK_SERV_E
+
+                # Undocumented Type B: supported services in not available session responded
+                # other than "not supported" family
+                if not cond_resp_means_not_supp:
+                    return Failure.UNDOC_SERV_B
+
+            if cond_sess_alwd:
+                # available NRC to available service in active session
+                if cond_resp_alwd and not cond_resp_means_not_supp:
+                    return Failure.OK_SERV_F
+
+                # supported services (and even in available session) give a response undocumented in ISO
+                if not cond_resp_means_not_supp:
+                    return Failure.OK_SERV_G
+
+                # Missing Type A: in ISO standard or vendor-specific reference defined as available
+                # in a session but gives response "not supported in active session"
+                if cond_resp_serv_not_supp_in_cur_sess:
+                    return Failure.MISS_SERV_A
+
+                # Missing Type B: in ISO standard or vendor-specific reference defined as available
+                # in a session but gives response "service not supported"
+                if cond_resp_serv_not_supp:
+                    return Failure.MISS_SERV_B
+
+                # supported services in available session give a responded as "subFunctionNotSupported"
+                if cond_resp_sbfn_not_supp:
+                    return Failure.OK_SERV_H
+
+        return Failure.UNKNOWN
+
+    def get_fail_iden(
+        self,
+        op_mode: OpMode,
+        serv: int,
+        sess: int,
+        boot: int,
+        sbfn: int,
+        iden: int,
+        resp: int,
+        ecu_mode: int,
+    ) -> Failure:
+        """
+        get failure for given parameters, service, diagnostic session, sub-function,
+        identifier and response at given analysis mode.
+        """
+        if op_mode == OpMode.VEN_SPEC:
+            supp_serv_vec = self.supp_serv_ven_vec
+        elif op_mode == OpMode.ISO:
+            supp_serv_vec = self.supp_serv_iso_vec
+        else:
+            raise RuntimeError(f"Unsupported op_mode: {op_mode}")
+
+        cond_serv_supp = serv in supp_serv_vec
+        cond_resp_alwd = self.check_resp_alwd(serv, resp)
+        cond_sbfn_alwd = self.check_sbfn_alwd(serv, sbfn, op_mode, ecu_mode)
+        cond_resp_serv_not_supp = resp == UDSErrorCodes.serviceNotSupported
+        cond_resp_sbfn_not_supp = resp == UDSErrorCodes.subFunctionNotSupported
+
+        if (not cond_serv_supp) and (cond_resp_serv_not_supp):
+            return Failure.OK_IDEN_A
+        if (not cond_sbfn_alwd) and (cond_resp_sbfn_not_supp):
+            return Failure.OK_IDEN_B
+
+        try:
+            combi = (sess, boot, sbfn, iden, ecu_mode)
+            combis_ls = list(self.lu_iden_df[ColNm.combi])
+            cond_combi = combi in combis_ls
+            cond_combi_aem = False
+            for cur_mode in np.arange(self.num_modes):
+                combi = (sess, boot, sbfn, iden, cur_mode)
+                combis_ls = list(self.lu_iden_df[ColNm.combi])
+                if combi in combis_ls:
+                    cond_combi_aem = True
+                    break
+
+        except (KeyError, AttributeError) as exc:
+            self.logger.error(
+                f"getting failure for identifier failed: {g_repr(exc)}"
+            )
+            return Failure.UNKNOWN
+
+        if cond_combi:
+            if resp == UDSErrorCodes.serviceNotSupportedInActiveSession:
+                return Failure.MISS_IDEN_A
+
+            if resp == UDSErrorCodes.serviceNotSupported:
+                return Failure.MISS_IDEN_B
+
+            if resp == UDSErrorCodes.requestOutOfRange:
+                return Failure.MISS_IDEN_C
+
+            if serv == UDSIsoServices.WriteDataByIdentifier:
+                if resp == UDSErrorCodes.securityAccessDenied:
+                    return Failure.MISS_IDEN_D
+
+            if cond_resp_alwd:
+                return Failure.OK_IDEN_C
+
+            if resp == 0:
+                return Failure.OK_IDEN_D
+
+        if cond_combi_aem:
+            if resp == UDSErrorCodes.conditionsNotCorrect:
+                if serv == UDSIsoServices.ReadDataByIdentifier:
+                    return Failure.OK_IDEN_E
+
+                if serv == UDSIsoServices.RoutineControl:
+                    return Failure.OK_IDEN_F
+
+        if not cond_combi:
+            # general default response
+            if resp == UDSErrorCodes.requestOutOfRange:
+                return Failure.OK_IDEN_G
+
+            if serv == UDSIsoServices.ReadDataByIdentifier:
+                if resp == UDSErrorCodes.incorrectMessageLengthOrInvalidFormat:
+                    return Failure.DFT_RES_A
+
+            if serv == UDSIsoServices.SecurityAccess:
+                if resp == UDSErrorCodes.subFunctionNotSupported:
+                    return Failure.DFT_RES_B
+
+                if resp == UDSErrorCodes.serviceNotSupportedInActiveSession:
+                    return Failure.DFT_RES_B
+
+                if resp == UDSErrorCodes.subFunctionNotSupportedInActiveSession:
+                    return Failure.DFT_RES_B
+
+            if serv == UDSIsoServices.RoutineControl:
+                if resp == UDSErrorCodes.subFunctionNotSupported:
+                    return Failure.DFT_RES_C
+
+            if serv == UDSIsoServices.WriteDataByIdentifier:
+                if resp == UDSErrorCodes.securityAccessDenied:
+                    return Failure.DFT_RES_D
+
+                if resp == UDSErrorCodes.incorrectMessageLengthOrInvalidFormat:
+                    return Failure.DFT_RES_D
+
+                if resp == UDSErrorCodes.serviceNotSupportedInActiveSession:
+                    return Failure.DFT_RES_D
+
+                if resp == UDSErrorCodes.conditionsNotCorrect:
+                    return Failure.DFT_RES_D
+
+            if resp == UDSErrorCodes.conditionsNotCorrect:
+                return Failure.UNDOC_IDEN_A
+
+            if resp == UDSErrorCodes.subFunctionNotSupportedInActiveSession:
+                return Failure.UNDOC_IDEN_B
+
+            # TODO: What is this case about?
+            if resp == 0:
+                return Failure.UNDOC_IDEN_E
+
+            if cond_resp_alwd:
+                return Failure.UNDOC_IDEN_C
+
+            if not cond_resp_alwd:
+                return Failure.UNDOC_IDEN_D
+
+        return Failure.UNKNOWN
diff --git a/src/gallia/analyzer/config.py b/src/gallia/analyzer/config.py
new file mode 100644
index 000000000..d162a3536
--- /dev/null
+++ b/src/gallia/analyzer/config.py
@@ -0,0 +1,135 @@
+# SPDX-FileCopyrightText: AISEC Pentesting Team
+#
+# SPDX-License-Identifier: Apache-2.0
+
+"""
+gallia-analyze Config module
+"""
+import importlib.resources
+from enum import IntEnum
+from gallia import analyzer
+from gallia.analyzer.name_config import ColNm
+from gallia.analyzer.constants import SqlDataType
+
+
+def load_resource_file(path: str) -> str:
+    """
+    load resource file by name from package_data
+
+    :param path: path to object within the  package_data
+    :return: absolut path to resource
+    """
+    pkg = importlib.resources.files(analyzer)
+    return str(pkg / path)
+
+
+FAIL_CLS_CAP = 16
+NUM_ECU_MODES = 3
+
+# default time precision for time analysis
+# 19: nanosecond
+# 16: microsecond
+# 13: millisecond
+DFT_T_PREC = 19
+
+
+class MiscError(IntEnum):
+    """
+    enum class for undefined errors
+    """
+
+    UNKNOWN_ERROR = 0x80
+    INVALID_RESPONSE = 0xA0
+    NO_RESPONSE = -1
+    POSITIVE_RESPONSE = 0
+
+
+class SrcPath:
+    """
+    class for source paths
+    """
+
+    err_src = load_resource_file("json/responses.json")
+    uds_iso_src = load_resource_file("json/uds_iso_standard.json")
+    cond_src = load_resource_file("json/conditions.json")
+
+
+class TblStruct:
+    """
+    class for relational table structures
+    """
+
+    serv = {
+        ColNm.id: SqlDataType.integer,
+        ColNm.run: SqlDataType.integer,
+        ColNm.t_rqst: SqlDataType.integer,
+        ColNm.t_resp: SqlDataType.integer,
+        ColNm.ecu_mode: SqlDataType.integer,
+        ColNm.serv: SqlDataType.integer,
+        ColNm.sess: SqlDataType.integer,
+        ColNm.boot: SqlDataType.integer,
+        ColNm.resp: SqlDataType.integer,
+        ColNm.fail: SqlDataType.integer,
+    }
+    iden = {
+        ColNm.id: SqlDataType.integer,
+        ColNm.run: SqlDataType.integer,
+        ColNm.t_rqst: SqlDataType.integer,
+        ColNm.t_resp: SqlDataType.integer,
+        ColNm.ecu_mode: SqlDataType.integer,
+        ColNm.serv: SqlDataType.integer,
+        ColNm.sess: SqlDataType.integer,
+        ColNm.boot: SqlDataType.integer,
+        ColNm.sbfn: SqlDataType.integer,
+        ColNm.iden: SqlDataType.integer,
+        ColNm.resp: SqlDataType.integer,
+        ColNm.fail: SqlDataType.integer,
+    }
+    ven_lu = {
+        ColNm.serv: SqlDataType.integer,
+        ColNm.sess: SqlDataType.integer,
+        ColNm.boot: SqlDataType.integer,
+        ColNm.sbfn: SqlDataType.integer,
+        ColNm.iden: SqlDataType.integer,
+        ColNm.ecu_mode: SqlDataType.integer,
+    }
+    ven_sess = {
+        ColNm.sess_name: SqlDataType.text,
+        ColNm.sess: SqlDataType.integer,
+    }
+    ref_resp = {
+        ColNm.serv: SqlDataType.integer,
+        ColNm.resp: SqlDataType.integer,
+    }
+    ref_sbfn = {
+        ColNm.serv: SqlDataType.integer,
+        ColNm.sbfn: SqlDataType.integer,
+    }
+    ref_sess = {
+        ColNm.serv: SqlDataType.integer,
+        ColNm.sess: SqlDataType.integer,
+        ColNm.boot: SqlDataType.integer,
+    }
+
+
+class XlDesign:
+    """
+    class for EXCEL report design
+    """
+
+    font_index = "Calibri"
+    font_value = "Courier New"
+
+    dim_wide = 45
+    dim_mid_wide = 32
+    dim_middle = 25
+    dim_narrow = 10
+
+
+class PltDesign:
+    """
+    class for matplotlib graph design
+    """
+
+    hist_style = "dark_background"
+    plot_style = "dark_background"
diff --git a/src/gallia/analyzer/constants.py b/src/gallia/analyzer/constants.py
new file mode 100644
index 000000000..2f896f315
--- /dev/null
+++ b/src/gallia/analyzer/constants.py
@@ -0,0 +1,31 @@
+# SPDX-FileCopyrightText: AISEC Pentesting Team
+#
+# SPDX-License-Identifier: Apache-2.0
+
+"""
+gallia-analyze Const module
+"""
+from enum import IntEnum
+
+
+class UDSIsoSessions(IntEnum):
+    """
+    enum class for diagnostic sessions defined in UDS ISO standard
+    """
+
+    DEFAULT_SESSION = 0x01
+    PROGRAMMING_SESSION = 0x02
+    EXTENDED_DIAGNOSTIC_SESSION = 0x03
+    SAFETY_SYSTEM_DIAGNOSTIC_SESSION = 0x04
+
+
+class SqlDataType:
+    """
+    class for SQL data types
+    """
+
+    integer = "INTEGER"
+    text = "TEXT"
+    null = "NULL"
+    real = "REAL"
+    blob = "BLOB"
diff --git a/src/gallia/analyzer/db_handler.py b/src/gallia/analyzer/db_handler.py
new file mode 100644
index 000000000..1744cac18
--- /dev/null
+++ b/src/gallia/analyzer/db_handler.py
@@ -0,0 +1,168 @@
+# SPDX-FileCopyrightText: AISEC Pentesting Team
+#
+# SPDX-License-Identifier: Apache-2.0
+
+"""
+gallia-analyze Database Handler module
+"""
+import os
+import sqlite3
+from sqlite3 import OperationalError
+import pandas as pd
+from pandas.io.sql import DatabaseError
+from gallia.analyzer.mode_config import LogMode
+from gallia.analyzer.name_config import ColNm
+from gallia.services.uds.core.utils import g_repr
+from gallia.log import get_logger
+
+
+class DatabaseHandler:
+    """
+    Basic class for all classes in gallia-analyze.
+    Used for database connection, reading and writing data and log.
+    """
+
+    def __init__(self, path: str = "", mode: LogMode = LogMode.STD_OUT) -> None:
+        self.set_db_path(path)
+        self.log_mode = mode
+        self.con: sqlite3.Connection
+        self.cur: sqlite3.Cursor
+        self.logger = get_logger(__package__)
+        self.connect_db()
+
+    def set_db_path(self, path: str = "") -> bool:
+        """
+        set path for database to read.
+        """
+        if path != "":
+            self.db_path = os.path.expanduser(path)
+        else:
+            self.db_path = ""
+            return False
+        return True
+
+    def connect_db(self) -> bool:
+        """
+        establish connection to database.
+        """
+        try:
+            self.con = sqlite3.connect(self.db_path)
+            self.cur = self.con.cursor()
+        except OperationalError as exc:
+            self.logger.error(f"DB connection failed: {g_repr(exc)}")
+            return False
+        return True
+
+    def create_table(
+        self, table_name: str, columns_dict: dict, not_exists: bool = False
+    ) -> bool:
+        """
+        create a relational table in the database.
+        """
+        sql_columns = ""
+        for key in columns_dict.keys():
+            sql_columns += '"' + key + '" '
+            sql_columns += columns_dict[key]
+            sql_columns += ","
+
+        sql_columns = sql_columns[:-1]
+        if not_exists:
+            create_sql = f"CREATE TABLE IF NOT EXISTS {table_name}({sql_columns});"
+        else:
+            create_sql = f"DROP TABLE IF EXISTS {table_name};CREATE TABLE {table_name}({sql_columns});"
+        try:
+            self.cur.executescript(create_sql)
+            self.con.commit()
+        except (OperationalError, AttributeError) as exc:
+            self.logger.error(f"DB creating table failed: {g_repr(exc)}")
+            return False
+        return True
+
+    def clear_table(self, table_name: str) -> bool:
+        """
+        clear(delete) all data in a relational table in the database.
+        """
+        try:
+            self.cur.execute(f"DELETE FROM {table_name}")
+            self.con.commit()
+        except (OperationalError, AttributeError) as exc:
+            self.logger.error(f"DB clearing table failed: {g_repr(exc)}")
+            return False
+        return True
+
+    def delete_table(self, table_name: str) -> bool:
+        """
+        delete(drop) a relational table in the database.
+        """
+        try:
+            self.cur.execute(f"DROP TABLE IF EXISTS {table_name}")
+            self.con.commit()
+        except (OperationalError, AttributeError) as exc:
+            self.logger.error(f"DB deleting table failed: {g_repr(exc)}")
+            return False
+        return True
+
+    def get_df_by_query(self, sql: str, error_on: bool = True) -> pd.DataFrame:
+        """
+        query in a database with SQL query string.
+        """
+        try:
+            raw_df: pd.DataFrame = pd.read_sql_query(sql, self.con)
+        except (DatabaseError, AttributeError) as exc:
+            if error_on:
+                self.logger.error(f"DB query failed: {g_repr(exc)}")
+            return pd.DataFrame()
+        if raw_df.shape[0] == 0:
+            if error_on:
+                self.logger.warning("no entry in database.")
+            return pd.DataFrame()
+        return raw_df
+
+    def read_db(self, table_name: str) -> pd.DataFrame:
+        """
+        read out all the data in a relational table in the database.
+        returns a pandas data frame.
+        """
+        return self.get_df_by_query(f"""SELECT * FROM "{table_name}";""")
+
+    def read_run_db(self, table_name: str, run: int) -> pd.DataFrame:
+        """
+        read out the data of a run in a relational table in the database.
+        returns a pandas data frame.
+        """
+        return self.get_df_by_query(
+            f"""SELECT * FROM "{table_name}" WHERE "{ColNm.run}" = {str(run)};"""
+        )
+
+    def read_sid_db(self, table_name: str, serv: int) -> pd.DataFrame:
+        """
+        read out the data of a service ID in a relational table in the database.
+        returns a pandas data frame.
+        """
+        return self.get_df_by_query(
+            f"SELECT * FROM {table_name} WHERE {ColNm.serv} = {str(serv)}"
+        )
+
+    def delete_run_db(self, table_name: str, run: int) -> bool:
+        """
+        delete the data of a run in a relational table in the database.
+        """
+        del_sql = f"""DELETE FROM "{table_name}" WHERE "{ColNm.run}" = {str(run)};"""
+        try:
+            self.cur.executescript(del_sql)
+            self.con.commit()
+        except (OperationalError, AttributeError) as exc:
+            self.logger.error(f"deleting a run from DB failed: {g_repr(exc)}")
+            return False
+        return True
+
+    def write_db(self, raw_df: pd.DataFrame, table_name: str) -> bool:
+        """
+        write data into a relational table in the database
+        """
+        try:
+            raw_df.to_sql(table_name, self.con, if_exists="append", index=False)
+        except (OperationalError, AttributeError) as exc:
+            self.logger.error(f"writing data to DB failed: {g_repr(exc)}")
+            return False
+        return True
diff --git a/src/gallia/analyzer/exceptions.py b/src/gallia/analyzer/exceptions.py
new file mode 100644
index 000000000..6b5d29b55
--- /dev/null
+++ b/src/gallia/analyzer/exceptions.py
@@ -0,0 +1,25 @@
+# SPDX-FileCopyrightText: AISEC Pentesting Team
+#
+# SPDX-License-Identifier: Apache-2.0
+
+"""
+gallia-analyze Exceptions module
+"""
+
+
+class EmptyTableException(Exception):
+    """
+    exception class for empty table error
+    """
+
+    def __init__(self) -> None:
+        super().__init__("Empty Table.")
+
+
+class ColumnMismatchException(Exception):
+    """
+    exception class for column mismatch
+    """
+
+    def __init__(self) -> None:
+        super().__init__("Columns Mismatch.")
diff --git a/src/gallia/analyzer/extractor.py b/src/gallia/analyzer/extractor.py
new file mode 100644
index 000000000..433cac5c5
--- /dev/null
+++ b/src/gallia/analyzer/extractor.py
@@ -0,0 +1,199 @@
+# SPDX-FileCopyrightText: AISEC Pentesting Team
+#
+# SPDX-License-Identifier: Apache-2.0
+
+"""
+gallia-analyze Extractor module
+"""
+
+from sqlite3 import OperationalError
+import numpy as np
+from gallia.analyzer.operator import Operator
+from gallia.analyzer.config import TblStruct
+from gallia.analyzer.mode_config import LogMode, ScanMode
+from gallia.analyzer.name_config import TblNm, ColNm, VwNm
+from gallia.services.uds.core.utils import g_repr
+
+
+class Extractor(Operator):
+
+    """
+    Class for extracting attained scan result data in database,
+    archiving it into relational tables.
+    """
+
+    def __init__(self, path: str = "", log_mode: LogMode = LogMode.STD_OUT):
+        Operator.__init__(self, path, log_mode)
+
+    def extract(self, runs_vec: np.ndarray) -> bool:
+        """
+        extract scan result data from JSON form in the database
+        and save it into relational tables for given input runs.
+        """
+        if not self.load_meta(force=True):
+            return False
+        for run in runs_vec:
+            self.extract_each_run(run)
+        return True
+
+    def extract_each_run(self, run: int) -> bool:
+        """
+        extract scan result data from JSON form in the database
+        and save it into relational tables for a certain input run.
+        """
+        self.logger.result(f"extracting run #{str(run)} from {self.db_path} ...")
+        self.check_boot(run)
+        scan_mode = self.get_scan_mode(run)
+        if scan_mode == ScanMode.SERV:
+            return self.extract_serv(run)
+        if scan_mode == ScanMode.IDEN:
+            return self.extract_iden(run)
+        return False
+
+    def extract_serv(self, run: int) -> bool:
+        """
+        extract scan_service result data from JSON form in the database
+        and save it into relational tables for a certain input run.
+        """
+        if self.get_scan_mode(run) != ScanMode.SERV:
+            return False
+        if not self.create_table(TblNm.serv, TblStruct.serv, True):
+            return False
+        if not self.delete_run_db(TblNm.serv, run):
+            return False
+        extract_sql = f"""
+        DROP VIEW IF EXISTS "{VwNm.resp_vw}";
+        CREATE VIEW "{VwNm.resp_vw}"
+        AS SELECT "{ColNm.id}", "{ColNm.run}",
+        "{ColNm.t_rqst}", "{ColNm.t_resp}",
+        json_extract("request_data", '$.service_id') AS "{ColNm.serv}",
+        json_extract("state", '$.session') AS "{ColNm.sess}",
+        json_extract("state", '$.boot') AS "{ColNm.boot}",
+        CASE WHEN json_extract("response_data", '$.service_id') != 127 THEN 0
+        WHEN json_extract("response_data", '$.response_code') IS NULL THEN -1
+        ELSE json_extract("response_data", '$.response_code')
+        END "{ColNm.resp}"
+        FROM "{TblNm.scan_result}" WHERE "{ColNm.run}" = {str(run)}
+        AND "log_mode" = "explicit" OR "log_mode" = "emphasized";
+        INSERT INTO "{TblNm.serv}" ("{ColNm.id}", "{ColNm.run}",
+        "{ColNm.t_rqst}", "{ColNm.t_resp}",
+        "{ColNm.ecu_mode}", "{ColNm.serv}",
+        "{ColNm.sess}", "{ColNm.boot}", "{ColNm.resp}")
+        SELECT "{ColNm.id}", "{ColNm.run}",
+        "{ColNm.t_rqst}", "{ColNm.t_resp}",
+        CASE WHEN "{ColNm.ecu_mode}" IS NULL THEN 0
+        ELSE "{ColNm.ecu_mode}"
+        END "{ColNm.ecu_mode}",
+        "{ColNm.serv}", "{ColNm.sess}",
+        CASE WHEN "{ColNm.boot}" IS NULL AND "{ColNm.sess}" = 2 THEN 1
+        WHEN "{ColNm.boot}" IS NULL THEN 0
+        ELSE "{ColNm.boot}"
+        END "{ColNm.boot}",
+        "{ColNm.resp}"
+        FROM "{VwNm.resp_vw}"
+        LEFT JOIN "{TblNm.meta}"
+        ON "{TblNm.meta}"."{ColNm.run_id}" = "{VwNm.resp_vw}"."{ColNm.run}";
+        UPDATE "{TblNm.serv}" SET "{ColNm.fail}" = 255;
+        DROP VIEW IF EXISTS "{VwNm.resp_vw}";
+        """
+        try:
+            self.cur.executescript(extract_sql)
+            self.con.commit()
+        except OperationalError as exc:
+            self.logger.error(f"extracting scan_service failed: {g_repr(exc)}")
+            return False
+        return True
+
+    def extract_iden(self, run: int) -> bool:
+        """
+        extract scan_identifier result data from JSON form in the database
+        and save it into relational tables for a certain input run.
+        """
+        if self.get_scan_mode(run) != ScanMode.IDEN:
+            return False
+        if not self.create_table(TblNm.iden, TblStruct.iden, True):
+            return False
+        if not self.delete_run_db(TblNm.iden, run):
+            return False
+        extract_sql = f"""
+        DROP VIEW IF EXISTS "{VwNm.resp_vw}";
+        CREATE VIEW "{VwNm.resp_vw}"
+        AS SELECT "{ColNm.id}", "{ColNm.run}",
+        "{ColNm.t_rqst}", "{ColNm.t_resp}",
+        json_extract("request_data", '$.service_id') AS "{ColNm.serv}",
+        json_extract("state", '$.session') AS "{ColNm.sess}",
+        json_extract("state", '$.boot') AS "{ColNm.boot}",
+        CASE WHEN json_extract("request_data", '$.service_id') = 49
+        THEN json_extract("request_data", '$.sub_function')
+        ELSE -1
+        END "{ColNm.sbfn}",
+        CASE WHEN json_extract("request_data", '$.service_id') = 49
+        THEN json_extract("request_data", '$.routine_identifier')
+        WHEN json_extract("request_data", '$.service_id') = 39
+        AND json_extract("request_data", '$.sub_function') IS NULL THEN -1
+        WHEN json_extract("request_data", '$.service_id') = 39
+        THEN json_extract("request_data", '$.sub_function')
+        WHEN json_extract("request_data", '$.service_id') = 0x11
+        THEN json_extract("request_data", '$.sub_function')
+        WHEN json_extract("request_data", '$.service_id') = 0x28
+        THEN json_extract("request_data", '$.control_type') * 0x100 + json_extract("request_data", '$.communication_type')
+        WHEN json_extract("request_data", '$.data_identifier') IS NULL
+        THEN json_extract("request_data", '$.data_identifiers[0]')
+        ELSE json_extract("request_data", '$.data_identifier')
+        END "{ColNm.iden}",
+        json_extract("request_data", '$.identifier') AS "{ColNm.iden}",
+        CASE WHEN json_extract("response_data", '$.service_id') != 127 THEN 0
+        WHEN json_extract("response_data", '$.response_code') IS NULL THEN -1
+        ELSE json_extract("response_data", '$.response_code')
+        END "{ColNm.resp}"
+        FROM "{TblNm.scan_result}"
+        WHERE "{ColNm.run}" = {str(run)}
+        AND "log_mode" = "explicit" OR "log_mode" = "emphasized";
+        INSERT INTO "{TblNm.iden}" ("{ColNm.id}", "{ColNm.run}",
+        "{ColNm.t_rqst}", "{ColNm.t_resp}", "{ColNm.ecu_mode}",
+        "{ColNm.serv}", "{ColNm.sess}", "{ColNm.boot}",
+        "{ColNm.sbfn}", "{ColNm.iden}", "{ColNm.resp}")
+        SELECT "{ColNm.id}", "{ColNm.run}",
+        "{ColNm.t_rqst}", "{ColNm.t_resp}",
+        CASE WHEN "{ColNm.ecu_mode}" IS NULL THEN 0
+        ELSE "{ColNm.ecu_mode}"
+        END "{ColNm.ecu_mode}",
+        "{ColNm.serv}", "{ColNm.sess}",
+        CASE WHEN "{ColNm.boot}" IS NULL AND "{ColNm.sess}" = 2 THEN 1
+        WHEN "{ColNm.boot}" IS NULL THEN 0
+        ELSE "{ColNm.boot}"
+        END "{ColNm.boot}",
+        "{ColNm.sbfn}", "{ColNm.iden}", "{ColNm.resp}"
+        FROM "{VwNm.resp_vw}"
+        LEFT JOIN "{TblNm.meta}"
+        ON "{TblNm.meta}"."{ColNm.run_id}" = "{VwNm.resp_vw}"."{ColNm.run}";
+        UPDATE "{TblNm.iden}" SET "{ColNm.fail}" = 255;
+        DROP VIEW IF EXISTS "{VwNm.resp_vw}";
+        """
+        try:
+            self.cur.executescript(extract_sql)
+            self.con.commit()
+        except OperationalError as exc:
+            self.logger.error(f"extracting scan_identifier failed: {g_repr(exc)}")
+            return False
+        return True
+
+    def check_boot(self, run: int) -> bool:
+        try:
+            check_sql = f"""
+            SELECT json_extract("state", '$.boot') as "{ColNm.boot}"
+            FROM "{TblNm.scan_result}" WHERE "{ColNm.run}" = {str(run)};
+            """
+            boot_df = self.get_df_by_query(check_sql)
+            if boot_df.shape[0] == 0:
+                return False
+            boot_types_vec = np.array([0, 1])  # vendor-specific
+            boot_ok = bool(
+                boot_df[ColNm.boot].apply(lambda x: x in boot_types_vec).all()
+            )
+            if not boot_ok:
+                self.logger.warning("boot information not complete")
+        except (KeyError, AttributeError, OperationalError) as exc:
+            self.logger.error(f"checking boot information failed: {g_repr(exc)}")
+            return False
+        return boot_ok
diff --git a/src/gallia/analyzer/failure.py b/src/gallia/analyzer/failure.py
new file mode 100644
index 000000000..b378fac6e
--- /dev/null
+++ b/src/gallia/analyzer/failure.py
@@ -0,0 +1,136 @@
+# SPDX-FileCopyrightText: AISEC Pentesting Team
+#
+# SPDX-License-Identifier: Apache-2.0
+
+"""
+gallia-analyze Failure module
+"""
+from enum import IntEnum
+
+
+class Failure(IntEnum):
+    """
+    enum class for failures
+    """
+
+    UNKNOWN = 0xFF
+    UNDEFINED = 0xF0
+
+    OK_SERV = 0x00
+    OK_SERV_A = 0x01
+    OK_SERV_B = 0x02
+    OK_SERV_C = 0x03
+    OK_SERV_D = 0x04
+    OK_SERV_E = 0x05
+    OK_SERV_F = 0x06
+    OK_SERV_G = 0x07
+    OK_SERV_H = 0x08
+    OK_SERV_I = 0x09
+    OK_SERV_J = 0x0A
+    OK_SERV_K = 0x0B
+    OK_SERV_L = 0x0C
+    OK_SERV_M = 0x0D
+    OK_SERV_N = 0x0E
+    OK_SERV_O = 0x0F
+
+    OK_IDEN = 0x10
+    OK_IDEN_A = 0x11
+    OK_IDEN_B = 0x12
+    OK_IDEN_C = 0x13
+    OK_IDEN_D = 0x14
+    OK_IDEN_E = 0x15
+    OK_IDEN_F = 0x16
+    OK_IDEN_G = 0x17
+    OK_IDEN_H = 0x18
+    OK_IDEN_I = 0x19
+    OK_IDEN_J = 0x1A
+    OK_IDEN_K = 0x1B
+    OK_IDEN_L = 0x1C
+    OK_IDEN_M = 0x1D
+    OK_IDEN_N = 0x1E
+    OK_IDEN_O = 0x1F
+
+    UNDOC_SERV = 0x20
+    UNDOC_SERV_A = 0x21
+    UNDOC_SERV_B = 0x22
+    UNDOC_SERV_C = 0x23
+    UNDOC_SERV_D = 0x24
+    UNDOC_SERV_E = 0x25
+    UNDOC_SERV_F = 0x26
+    UNDOC_SERV_G = 0x27
+    UNDOC_SERV_H = 0x28
+    UNDOC_SERV_I = 0x29
+    UNDOC_SERV_J = 0x2A
+    UNDOC_SERV_K = 0x2B
+    UNDOC_SERV_L = 0x2C
+    UNDOC_SERV_M = 0x2D
+    UNDOC_SERV_N = 0x2E
+    UNDOC_SERV_O = 0x2F
+
+    UNDOC_IDEN = 0x30
+    UNDOC_IDEN_A = 0x31
+    UNDOC_IDEN_B = 0x32
+    UNDOC_IDEN_C = 0x33
+    UNDOC_IDEN_D = 0x34
+    UNDOC_IDEN_E = 0x35
+    UNDOC_IDEN_F = 0x36
+    UNDOC_IDEN_G = 0x37
+    UNDOC_IDEN_H = 0x38
+    UNDOC_IDEN_I = 0x39
+    UNDOC_IDEN_J = 0x3A
+    UNDOC_IDEN_K = 0x3B
+    UNDOC_IDEN_L = 0x3C
+    UNDOC_IDEN_M = 0x3D
+    UNDOC_IDEN_N = 0x3E
+    UNDOC_IDEN_O = 0x3F
+
+    MISS_SERV = 0x40
+    MISS_SERV_A = 0x41
+    MISS_SERV_B = 0x42
+    MISS_SERV_C = 0x43
+    MISS_SERV_D = 0x44
+    MISS_SERV_E = 0x45
+    MISS_SERV_F = 0x46
+    MISS_SERV_G = 0x47
+    MISS_SERV_H = 0x48
+    MISS_SERV_I = 0x49
+    MISS_SERV_J = 0x4A
+    MISS_SERV_K = 0x4B
+    MISS_SERV_L = 0x4C
+    MISS_SERV_M = 0x4D
+    MISS_SERV_N = 0x4E
+    MISS_SERV_O = 0x4F
+
+    MISS_IDEN = 0x50
+    MISS_IDEN_A = 0x51
+    MISS_IDEN_B = 0x52
+    MISS_IDEN_C = 0x53
+    MISS_IDEN_D = 0x54
+    MISS_IDEN_E = 0x55
+    MISS_IDEN_F = 0x56
+    MISS_IDEN_G = 0x57
+    MISS_IDEN_H = 0x58
+    MISS_IDEN_I = 0x59
+    MISS_IDEN_J = 0x5A
+    MISS_IDEN_K = 0x5B
+    MISS_IDEN_L = 0x5C
+    MISS_IDEN_M = 0x5D
+    MISS_IDEN_N = 0x5E
+    MISS_IDEN_O = 0x5F
+
+    DFT_RES = 0x70
+    DFT_RES_A = 0x71
+    DFT_RES_B = 0x72
+    DFT_RES_C = 0x73
+    DFT_RES_D = 0x74
+    DFT_RES_E = 0x75
+    DFT_RES_F = 0x76
+    DFT_RES_G = 0x77
+    DFT_RES_H = 0x78
+    DFT_RES_I = 0x79
+    DFT_RES_J = 0x7A
+    DFT_RES_K = 0x7B
+    DFT_RES_L = 0x7C
+    DFT_RES_M = 0x7D
+    DFT_RES_N = 0x7E
+    DFT_RES_O = 0x7F
diff --git a/src/gallia/analyzer/iso_def.py b/src/gallia/analyzer/iso_def.py
new file mode 100644
index 000000000..72572f3c6
--- /dev/null
+++ b/src/gallia/analyzer/iso_def.py
@@ -0,0 +1,10 @@
+# SPDX-FileCopyrightText: AISEC Pentesting Team
+#
+# SPDX-License-Identifier: Apache-2.0
+
+"""
+gallia-analyze ISO DEF module
+"""
+ISO_ERR_NOT_SUPP = [0x11, 0x12, 0x7E, 0x7F]
+ISO_ERR_FOR_ALL = [0x10, 0x11, 0x12, 0x7E, 0x7F]
+ISO_SERV_BY_ID = [0x22, 0x24, 0x27, 0x2A, 0x2C, 0x2E, 0x2F, 0x31]
diff --git a/src/gallia/analyzer/json/conditions.json b/src/gallia/analyzer/json/conditions.json
new file mode 100644
index 000000000..229773437
--- /dev/null
+++ b/src/gallia/analyzer/json/conditions.json
@@ -0,0 +1,36 @@
+[
+    {"SCAN MODE":"scan-service", "FAILURE":"UNDOC_SERV", "RESPONDED":[128, 160]},
+    {"SCAN MODE":"scan-service", "FAILURE":"OK_SERV", "RESPONDED":[0]},
+    {"SCAN MODE":"scan-service", "FAILURE":"OK_SERV_A", "NOT KNOWN":["service"], "RESPONDED":["serviceNotSupported"]},    
+    {"SCAN MODE":"scan-service", "FAILURE":"OK_SERV_B", "NOT KNOWN":["service"], "RESPONDED":["NO_RESPONSE"]},
+    {"SCAN MODE":"scan-service", "FAILURE":"OK_SERV_C", "NOT SUPPORTED":["service"], "RESPONDED":["serviceNotSupported", "subFunctionNotSupported", "subFunctionNotSupportedInActiveSession", "serviceNotSupportedInActiveSession"]},
+    {"SCAN MODE":"scan-service", "FAILURE":"OK_SERV_D", "NOT SUPPORTED":["service"], "RESPONDED":["NO_RESPONSE"]},
+    {"SCAN MODE":"scan-service", "FAILURE":"UNDOC_SERV_A", "NOT SUPPORTED":["service"], "NOT RESPONDED":["serviceNotSupported", "subFunctionNotSupported", "subFunctionNotSupportedInActiveSession", "serviceNotSupportedInActiveSession", "NO_RESPONSE"]},
+    {"SCAN MODE":"scan-service", "FAILURE":"OK_SERV_E", "SUPPORTED":["service"], "NOT SUPPORTED":["session"], "RESPONDED":["serviceNotSupported", "subFunctionNotSupported", "subFunctionNotSupportedInActiveSession", "serviceNotSupportedInActiveSession"]},
+    {"SCAN MODE":"scan-service", "FAILURE":"OK_SERV_F", "SUPPORTED":["service", "session", "response"], "NOT RESPONDED":["serviceNotSupported", "subFunctionNotSupported", "subFunctionNotSupportedInActiveSession", "serviceNotSupportedInActiveSession"]},    
+    {"SCAN MODE":"scan-service", "FAILURE":"OK_SERV_G", "SUPPORTED":["service", "session"], "NOT RESPONDED":["serviceNotSupported", "subFunctionNotSupported", "subFunctionNotSupportedInActiveSession", "serviceNotSupportedInActiveSession"]},
+    {"SCAN MODE":"scan-service", "FAILURE":"OK_SERV_H", "SUPPORTED":["service", "session"], "RESPONDED":["subFunctionNotSupported"]},
+    {"SCAN MODE":"scan-service", "FAILURE":"UNDOC_SERV_B", "SUPPORTED":["service"], "NOT SUPPORTED":["session"], "NOT RESPONDED":["serviceNotSupported", "subFunctionNotSupported", "subFunctionNotSupportedInActiveSession", "serviceNotSupportedInActiveSession"]},    
+    {"SCAN MODE":"scan-service", "FAILURE":"MISS_SERV_A", "SUPPORTED":["service", "session"], "RESPONDED":["serviceNotSupportedInActiveSession"]},
+    {"SCAN MODE":"scan-service", "FAILURE":"MISS_SERV_B", "SUPPORTED":["service", "session"], "RESPONDED":["serviceNotSupported"]},
+    {"SCAN MODE":"scan-identifier", "FAILURE":"OK_IDEN_A", "NOT SUPPORTED":["service"], "RESPONDED":["serviceNotSupported"]},
+    {"SCAN MODE":"scan-identifier", "FAILURE":"OK_IDEN_B", "NOT SUPPORTED":["subfunc"], "RESPONDED":["subFunctionNotSupported"]},
+    {"SCAN MODE":"scan-identifier", "FAILURE":"MISS_IDEN_A", "MATCH":["session", "boot", "service", "subfunc", "identifier", "ecu_mode"], "RESPONDED":["serviceNotSupportedInActiveSession"]},
+    {"SCAN MODE":"scan-identifier", "FAILURE":"MISS_IDEN_B", "MATCH":["session", "boot", "service", "subfunc", "identifier", "ecu_mode"], "RESPONDED":["serviceNotSupported"]},
+    {"SCAN MODE":"scan-identifier", "FAILURE":"MISS_IDEN_C", "MATCH":["session", "boot", "service", "subfunc", "identifier", "ecu_mode"], "RESPONDED":["requestOutOfRange"]},
+    {"SCAN MODE":"scan-identifier", "FAILURE":"MISS_IDEN_D", "MATCH":["session", "boot", "service", "subfunc", "identifier", "ecu_mode"], "FOR SERVICE":["WriteDataByIdentifier"], "RESPONDED":["securityAccessDenied"]},
+    {"SCAN MODE":"scan-identifier", "FAILURE":"OK_IDEN_C", "MATCH":["session", "boot", "service", "subfunc", "identifier", "ecu_mode"], "SUPPORTED":["response"]},
+    {"SCAN MODE":"scan-identifier", "FAILURE":"OK_IDEN_D", "MATCH":["session", "boot", "service", "subfunc", "identifier", "ecu_mode"], "RESPONDED":[0]},
+    {"SCAN MODE":"scan-identifier", "FAILURE":"OK_IDEN_E", "MATCH":["session", "boot", "service", "subfunc", "identifier"], "FOR SERVICE":["ReadDataByIdentifier"], "RESPONDED":["conditionsNotCorrect"]},
+    {"SCAN MODE":"scan-identifier", "FAILURE":"OK_IDEN_F", "MATCH":["session", "boot", "service", "subfunc", "identifier"], "FOR SERVICE":["RoutineControl"], "RESPONDED":["conditionsNotCorrect"]},
+    {"SCAN MODE":"scan-identifier", "FAILURE":"OK_IDEN_G", "NOT MATCH":["session", "boot", "service", "subfunc", "identifier", "ecu_mode"], "RESPONDED":["requestOutOfRange"]},
+    {"SCAN MODE":"scan-identifier", "FAILURE":"DFT_RES_A", "NOT MATCH":["session", "boot", "service", "subfunc", "identifier", "ecu_mode"], "FOR SERVICE":["ReadDataByIdentifier"], "RESPONDED":["incorrectMessageLengthOrInvalidFormat"]},    
+    {"SCAN MODE":"scan-identifier", "FAILURE":"DFT_RES_B", "NOT MATCH":["session", "boot", "service", "subfunc", "identifier", "ecu_mode"], "FOR SERVICE":["SecurityAccess"], "RESPONDED":["subFunctionNotSupported", "serviceNotSupportedInActiveSession", "subFunctionNotSupportedInActiveSession"]},    
+    {"SCAN MODE":"scan-identifier", "FAILURE":"DFT_RES_C", "NOT MATCH":["session", "boot", "service", "subfunc", "identifier", "ecu_mode"], "FOR SERVICE":["RoutineControl"], "RESPONDED":["subFunctionNotSupported"]},
+    {"SCAN MODE":"scan-identifier", "FAILURE":"DFT_RES_D", "NOT MATCH":["session", "boot", "service", "subfunc", "identifier", "ecu_mode"], "FOR SERVICE":["WriteDataByIdentifier"], "RESPONDED":["securityAccessDenied", "incorrectMessageLengthOrInvalidFormat", "serviceNotSupportedInActiveSession", "conditionsNotCorrect"]},
+    {"SCAN MODE":"scan-identifier", "FAILURE":"UNDOC_IDEN_A", "NOT MATCH":["session", "boot", "service", "subfunc", "identifier", "ecu_mode"], "RESPONDED":["conditionsNotCorrect"]},
+    {"SCAN MODE":"scan-identifier", "FAILURE":"UNDOC_IDEN_B", "NOT MATCH":["session", "boot", "service", "subfunc", "identifier", "ecu_mode"], "RESPONDED":["subFunctionNotSupportedInActiveSession"]},
+    {"SCAN MODE":"scan-identifier", "FAILURE":"UNDOC_IDEN_C", "NOT MATCH":["session", "boot", "service", "subfunc", "identifier", "ecu_mode"], "SUPPORTED":["response"]},
+    {"SCAN MODE":"scan-identifier", "FAILURE":"UNDOC_IDEN_D", "NOT MATCH":["session", "boot", "service", "subfunc", "identifier", "ecu_mode"], "NOT SUPPORTED":["response"]},
+    {"SCAN MODE":"scan-identifier", "FAILURE":"UNDOC_IDEN_E", "NOT MATCH":["session", "boot", "service", "subfunc", "identifier", "ecu_mode"], "RESPONDED":[0]}
+]
\ No newline at end of file
diff --git a/src/gallia/analyzer/json/conditions.json.license b/src/gallia/analyzer/json/conditions.json.license
new file mode 100644
index 000000000..fd78c804a
--- /dev/null
+++ b/src/gallia/analyzer/json/conditions.json.license
@@ -0,0 +1,3 @@
+SPDX-FileCopyrightText: 2022 AISEC Pentesting Team
+
+SPDX-License-Identifier: Apache-2.0
diff --git a/src/gallia/analyzer/json/responses.json b/src/gallia/analyzer/json/responses.json
new file mode 100644
index 000000000..87fd81b5f
--- /dev/null
+++ b/src/gallia/analyzer/json/responses.json
@@ -0,0 +1,63 @@
+[
+{"response_name":"NO_RESPONSE", "response": -1, "rgb":"FFFFFF"},
+{"response_name":"POSITIVE_RESPONSE", "response": 0, "rgb":"FFFFFF"},
+{"response_name":"generalReject", "response":16, "rgb":"F5DEB3"},
+{"response_name":"serviceNotSupported", "response":17, "rgb":"800000"},
+{"response_name":"subFunctionNotSupported", "response":18, "rgb":"DC143C"},
+{"response_name":"incorrectMessageLengthOrInvalidFormat", "response":19, "rgb":"FFDEAD"},
+{"response_name":"responseTooLong", "response":20, "rgb":"FFFF00"},
+{"response_name":"busyRepeatRequest", "response":33, "rgb":"00CED1"},
+{"response_name":"conditionsNotCorrect", "response":34, "rgb":"5F9EA0"}, 
+{"response_name":"requestSequenceError", "response":36, "rgb":"00FFFF"},
+{"response_name":"noResponseFromSubnetComponent", "response":37, "rgb":"7FFFD4"}, 
+{"response_name":"failurePreventsExecutionOfRequestedAction", "response":38, "rgb":"6495ED"}, 
+{"response_name":"requestOutOfRange", "response":49, "rgb":"808000"}, 
+{"response_name":"securityAccessDenied", "response":51, "rgb":"9ACD32"}, 
+{"response_name":"authenticationRequired", "response":52, "rgb":"7CFC00"}, 
+{"response_name":"invalidKey", "response":53, "rgb":"228B22"}, 
+{"response_name":"exceededNumberOfAttempts", "response":54, "rgb":"00FA9A"}, 
+{"response_name":"requiredTimeDelayNotExpired", "response":55, "rgb":"2E8B57"}, 
+{"response_name":"secureDataTransmissionRequired", "response":56, "rgb":"3CB371"}, 
+{"response_name":"secureDataTransmissionNotAllowed", "response":57, "rgb":"008B8B"}, 
+{"response_name":"secureDataVerificationFailed", "response":58, "rgb":"32CD32"}, 
+{"response_name":"certificateVerificationFailedInvalidTimePeriod", "response":80, "rgb":"4B0082"}, 
+{"response_name":"certificateVerificationFailedInvalidSignature", "response":81, "rgb":"9370DB"}, 
+{"response_name":"certificateVerificationFailedInvalidChainOfTrust", "response":82, "rgb":"800080"}, 
+{"response_name":"certificateVerificationFailedInvalidType", "response":83, "rgb":"BA55D3"}, 
+{"response_name":"certificateVerificationFailedInvalidFormat", "response":84, "rgb":"7B68EE"}, 
+{"response_name":"certificateVerificationFailedInvalidContent", "response":85, "rgb":"9400D3"}, 
+{"response_name":"certificateVerificationFailedInvalidScope", "response":86, "rgb":"D8BFD8"}, 
+{"response_name":"certificateVerificationFailedInvalidCertificateRevoked", "response":87, "rgb":"000080"}, 
+{"response_name":"ownershipVerificationFailed", "response":88, "rgb":"696969"}, 
+{"response_name":"challengeCalculationFailed", "response":89, "rgb":"808080"}, 
+{"response_name":"settingAccessRightsFailed", "response":90, "rgb":"A9A9A9"}, 
+{"response_name":"sessionKeyCreationOrDerivationFailed", "response":91, "rgb":"C0C0C0"}, 
+{"response_name":"configurationDataUsageFailed", "response":92, "rgb":"D3D3D3"}, 
+{"response_name":"deAuthenticationFailed", "response":93, "rgb":"B0C4DE"}, 
+{"response_name":"uploadDownloadNotAccepted", "response":112, "rgb":"FF4500"}, 
+{"response_name":"transferDataSuspended", "response":113, "rgb":"FF8C00"}, 
+{"response_name":"generalProgrammingFailure", "response":114, "rgb":"B8860B"}, 
+{"response_name":"wrongBlockSequenceCounter", "response":115, "rgb":"DAA520"}, 
+{"response_name":"requestCorrectlyReceivedResponsePending", "response":120, "rgb":"D2691E"}, 
+{"response_name":"subFunctionNotSupportedInActiveSession", "response":126, "rgb":"FF7F50"}, 
+{"response_name":"serviceNotSupportedInActiveSession", "response":127, "rgb":"CD5C5C"}, 
+{"response_name":"rpmTooHigh", "response":129, "rgb":"FFFACD"}, 
+{"response_name":"rpmTooLow", "response":130, "rgb":"FFFACD"}, 
+{"response_name":"engineIsRunning", "response":131, "rgb":"F5F5DC"}, 
+{"response_name":"engineIsNotRunning", "response":132, "rgb":"F5F5DC"}, 
+{"response_name":"engineRunTimeTooLow", "response":133, "rgb":"F4A460"}, 
+{"response_name":"temperatureTooHigh", "response":134, "rgb":"CD853F"}, 
+{"response_name":"temperatureTooLow", "response":135, "rgb":"CD853F"}, 
+{"response_name":"vehicleSpeedTooHigh", "response":136, "rgb":"FF6347"}, 
+{"response_name":"vehicleSpeedTooLow", "response":137, "rgb":"FF6347"}, 
+{"response_name":"throttlePedalTooHigh", "response":138, "rgb":"F08080"}, 
+{"response_name":"throttlePedalTooLow", "response":139, "rgb":"F08080"}, 
+{"response_name":"transmissionRangeNotInNeutral", "response":140, "rgb":"E9967A"}, 
+{"response_name":"transmissionRangeNotInGear", "response":141, "rgb":"E9967A"}, 
+{"response_name":"brakeSwitchNotClosed", "response":143, "rgb":"FF4500"}, 
+{"response_name":"shifterLeverNotInPark", "response":144, "rgb":"DDA0DD"}, 
+{"response_name":"torqueConverterClutchLocked", "response":145, "rgb":"DB7093"}, 
+{"response_name":"voltageTooHigh", "response":146, "rgb":"FF69B4"}, 
+{"response_name":"voltageTooLow", "response":147, "rgb":"FFB6C1"}, 
+{"response_name":"resourceTemporarilyNotAvailable", "response":148, "rgb":"C71585"}
+]
\ No newline at end of file
diff --git a/src/gallia/analyzer/json/responses.json.license b/src/gallia/analyzer/json/responses.json.license
new file mode 100644
index 000000000..fd78c804a
--- /dev/null
+++ b/src/gallia/analyzer/json/responses.json.license
@@ -0,0 +1,3 @@
+SPDX-FileCopyrightText: 2022 AISEC Pentesting Team
+
+SPDX-License-Identifier: Apache-2.0
diff --git a/src/gallia/analyzer/json/uds_iso_standard.json b/src/gallia/analyzer/json/uds_iso_standard.json
new file mode 100644
index 000000000..5df08c532
--- /dev/null
+++ b/src/gallia/analyzer/json/uds_iso_standard.json
@@ -0,0 +1,28 @@
+[
+{"service":16,"service_name":"DiagnosticSessionControl","session":[1,2,3,4],"subfunc":[1,2,3,4],"response":[18,19,34]},
+{"service":17,"service_name":"ECUReset","session":[1,2,3,4],"subfunc":[1,2,3,4,5],"response":[18,19,34,51]},
+{"service":39,"service_name":"SecurityAccess","session":[2,3,4],"subfunc":[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,95,96],"response":[18,19,34,36,49,53,54,55]},
+{"service":40,"service_name":"CommunicationControl","session":[2,3,4],"subfunc":[0,1,2,3,4,5],"response":[18,19,34,49]},
+{"service":41,"service_name":"Authentification","session":[1,2,3,4],"subfunc":[0,1,2,3,4,5,6,7,8],"response":[18,19,34,36]},
+{"service":62,"service_name":"TesterPresent","session":[1,2,3,4],"subfunc":[0],"response":[18,19]},
+{"service":133,"service_name":"ControlDTCSetting","session":[2,3,4],"subfunc":[0,1,2],"response":[18,19,34,49]},
+{"service":134,"service_name":"ResponseOnEvent","session":[1,2,3,4],"subfunc":[1,2,3,4,5,6,7,8,9],"response":[18,19,34,49]},
+{"service":135,"service_name":"LinkControl","session":[2,3,4],"subfunc":[1,2,3],"response":[18,19,34,36,49]},
+{"service":34,"service_name":"ReadDataByIdentifier","session":[1,2,3,4],"subfunc":[-1],"response":[18,19,34,49,51]},
+{"service":35,"service_name":"ReadMemoryByAddress","session":[1,2,3,4],"subfunc":[-1],"response":[18,19,34,49,51]},
+{"service":36,"service_name":"ReadScalingDataByIdentifier","session":[1,2,3,4],"subfunc":[-1],"response":[19,34,49,51,52]},
+{"service":42,"service_name":"ReadDataByPeriodicIdentifier","session":[2,3,4],"subfunc":[1,2,3,4],"response":[19,34,49,51]},
+{"service":44,"service_name":"DynamicallyDefineDataIdentifier","session":[1,2,3,4],"subfunc":[1,2,3],"response":[18,19,34,49,51]},
+{"service":46,"service_name":"WriteDataByIdentifier","session":[1,2,3,4],"subfunc":[-1],"response":[19,34,49,51,114]},
+{"service":61,"service_name":"WriteMemoryByAddress","session":[1,2,3,4],"subfunc":[-1],"response":[19,34,49,51,52,114]},
+{"service":20,"service_name":"ClearDiagnosticInformation","session":[1,2,3,4],"subfunc":[-1],"response":[19,34,49,114]},
+{"service":25,"service_name":"ReadDTCInformation","session":[1,2,3,4],"subfunc":[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,20,21,22,23,24,25,26,66,85,86],"response":[18,19,49]},
+{"service":47,"service_name":"InputOutputControlByIdentifier","session":[2,3,4],"subfunc":[-1],"response":[19,34,49,51,52]},
+{"service":49,"service_name":"RoutineControl","session":[1,2,3,4],"subfunc":[1,2,3],"response":[18,19,34,36,49,51,114]},
+{"service":52,"service_name":"RequestDownload","session":[2,3,4],"subfunc":[-1],"response":[19,34,49,51,52,112]},
+{"service":53,"service_name":"RequestUpload","session":[2,3,4],"subfunc":[-1],"response":[19,34,49,51,52,112]},
+{"service":54,"service_name":"TransferData","session":[2,3,4],"subfunc":[-1],"response":[19,36,49,113,114,115,146,147]},
+{"service":55,"service_name":"RequestTransferExit","session":[2,3,4],"subfunc":[-1],"response":[19,36,49,114]},
+{"service":56,"service_name":"RequestFileTransfer","session":[2,3,4],"subfunc":[1,2,3,4,5,6],"response":[19,34,36,49,51,52,112]},
+{"service":132,"service_name":"SecuredDataTransmission","session":[2,3,4],"subfunc":[-1],"response":[19,58]}
+]
\ No newline at end of file
diff --git a/src/gallia/analyzer/json/uds_iso_standard.json.license b/src/gallia/analyzer/json/uds_iso_standard.json.license
new file mode 100644
index 000000000..fd78c804a
--- /dev/null
+++ b/src/gallia/analyzer/json/uds_iso_standard.json.license
@@ -0,0 +1,3 @@
+SPDX-FileCopyrightText: 2022 AISEC Pentesting Team
+
+SPDX-License-Identifier: Apache-2.0
diff --git a/src/gallia/analyzer/main.py b/src/gallia/analyzer/main.py
new file mode 100755
index 000000000..92b5bfee3
--- /dev/null
+++ b/src/gallia/analyzer/main.py
@@ -0,0 +1,200 @@
+# SPDX-FileCopyrightText: AISEC Pentesting Team
+#
+# SPDX-License-Identifier: Apache-2.0
+
+"""
+gallia-analyze main script
+"""
+import os
+from argparse import Namespace
+import sys
+import time
+from pathlib import Path
+from secrets import token_urlsafe
+from tempfile import gettempdir
+from typing import Optional
+
+try:
+    import numpy as np
+    from gallia.analyzer.operator import Operator
+    from gallia.analyzer.analyzer import Analyzer
+    from gallia.analyzer.extractor import Extractor
+    from gallia.analyzer.reporter import Reporter
+    from gallia.analyzer.categorizer import Categorizer
+    from gallia.analyzer.time_analyzer import TimeAnalyzer
+    from gallia.analyzer.mode_config import LogMode
+
+    ANALYZER_AVAILABLE = True
+except ModuleNotFoundError:
+    ANALYZER_AVAILABLE = False
+
+from gallia.analyzer.arg_help import ArgHelp
+from gallia.command.base import BaseCommand
+from gallia.log import get_logger
+from gallia.utils import auto_int
+from argparse import ArgumentParser
+from gallia.config import Config
+
+# ========================================================== #
+# [Rule for arguments]
+#
+# Command: one letter lowercase
+# Functional Option: one letter uppercase
+# Report Option: one word starting with uppercase
+# Parameter: one word lowercase(sometimes with dash)
+# ========================================================== #
+
+
+class AnalyzerMain(BaseCommand):
+    """Analyzer"""
+
+    GROUP = "analyzer"
+    COMMAND = "run"
+    SHORT_HELP = "request VIN"
+
+    HAS_ARTIFACTS_DIR = True
+
+    def __init__(self, parser: ArgumentParser, config: Config = Config()) -> None:
+        super().__init__(parser, config)
+        self.logger = get_logger(__package__)
+
+    def configure_parser(self) -> None:
+        # Commands
+        grp_cmd = self.parser.add_argument_group("Command")
+        grp_cmd.add_argument("-a", action="store_true", help=ArgHelp.analyze)
+        grp_cmd.add_argument("-c", action="store_true", help=ArgHelp.clear)
+        grp_cmd.add_argument("-e", action="store_true", help=ArgHelp.extract)
+        grp_cmd.add_argument("-i", action="store_true", help=ArgHelp.aio_iden)
+        grp_cmd.add_argument("-r", action="store_true", help=ArgHelp.report)
+        grp_cmd.add_argument("-s", action="store_true", help=ArgHelp.aio_serv)
+        grp_cmd.add_argument("-t", action="store_true", help=ArgHelp.time)
+
+        # Options
+        grp_opt = self.parser.add_argument_group("Option")
+        grp_opt.add_argument("-A", action="store_true", help=ArgHelp.all_serv)
+        grp_opt.add_argument("-D", action="store_true", help=ArgHelp.debug)
+        grp_opt.add_argument("-I", action="store_true", help=ArgHelp.iso)
+        grp_opt.add_argument("-L", action="store_true", help=ArgHelp.log)
+        grp_opt.add_argument("-P", action="store_true", help=ArgHelp.possible)
+        grp_opt.add_argument("-C", action="store_true", help=ArgHelp.cat)
+
+        # Parameters
+        grp_param = self.parser.add_argument_group("Parameter")
+        grp_param.add_argument("--sid", type=auto_int, help=ArgHelp.sid, default=-1)
+        grp_param.add_argument("--from", type=auto_int, help=ArgHelp.first, default=0)
+        grp_param.add_argument("--to", type=auto_int, help=ArgHelp.last, default=0)
+        grp_param.add_argument("--source", type=str, help=ArgHelp.source, default="")
+        grp_param.add_argument("--precision", type=int, help=ArgHelp.prec, default=0)
+        grp_param.add_argument(
+            "--data-dir",
+            default=os.environ.get("PENRUN_ARTIFACTS"),
+            type=Path,
+            help="Folder for artifacts",
+        )
+
+    def run(self, args: Namespace) -> None:
+        if not ANALYZER_AVAILABLE:
+            self.logger.error(
+                "Please install optional dependencies to run the analyzer"
+            )
+            sys.exit(1)
+
+        args = vars(args)
+        # Commands
+        analyze_on = args["a"]
+        clear_on = args["c"]
+        extract_on = args["e"]
+        aio_identifier_on = args["i"]
+        report_on = args["r"]
+        aio_service_on = args["s"]
+        t_analyze_on = args["t"]
+
+        # Functional Options
+        all_services_on = args["A"]
+        debug_on = args["D"]
+        iso_on = args["I"]
+        log_file_on = args["L"]
+        show_possible_on = args["P"]
+        categorizer_on = args["C"]
+
+        # Parameters
+        service_id = args["sid"]
+        db_path = args["source"]
+        run_start = args["from"]
+        run_end = args["to"] + 1
+        t_prec = args["precision"]
+
+        if run_end <= run_start:
+            run_end = run_start + 1
+
+        if db_path == "":
+            self.logger.error("Please set database path with --source option!")
+            sys.exit()
+
+        start_time = time.process_time()
+
+        if log_file_on:
+            log_mode = LogMode.LOG_FILE
+        else:
+            log_mode = LogMode.STD_OUT
+
+        if run_start == 0 and run_end == 1:
+            operator = Operator(db_path)
+            runs_vec = operator.get_runs()
+        else:
+            runs_vec = np.arange(run_start, run_end)
+
+        if clear_on or extract_on:
+            extractor = Extractor(db_path, log_mode)
+
+        if clear_on:
+            extractor.clear()
+
+        if extract_on:
+            extractor.extract(runs_vec)
+
+        if analyze_on:
+            if categorizer_on:
+                categorizer = Categorizer(db_path, self.artifacts_dir, log_mode)
+                an_opt = categorizer.get_op_mode(iso_on)
+                categorizer.analyze(runs_vec, an_opt)
+            else:
+                analyzer = Analyzer(db_path, self.artifacts_dir, log_mode, debug_on)
+                an_opt = analyzer.get_op_mode(iso_on)
+                analyzer.analyze(runs_vec, an_opt)
+
+        if t_analyze_on:
+            if t_prec > 0:
+                time_analyzer = TimeAnalyzer(
+                    db_path, self.artifacts_dir, t_prec, log_mode
+                )
+            else:
+                time_analyzer = TimeAnalyzer(
+                    db_path, self.artifacts_dir, log_mode=log_mode
+                )
+            time_analyzer.extract_tra(runs_vec)
+            time_analyzer.hist_tra(runs_vec)
+            time_analyzer.plot_tra(runs_vec)
+
+        if report_on or aio_service_on or aio_identifier_on:
+            reporter = Reporter(db_path, self.artifacts_dir, log_mode)
+
+        if report_on:
+            res = reporter.report_xl(runs_vec, show_possible_on)
+            self.logger.result(f'Report result: {res}')
+
+        if aio_service_on:
+            reporter.consolidate_xl_serv(show_possible_on)
+
+        if aio_identifier_on:
+            if all_services_on:
+                reporter.iterate_all(show_possible_on)
+            else:
+                if service_id == -1:
+                    self.logger.error("Please input Service ID with --sid option.")
+                else:
+                    reporter.consolidate_xl_iden(service_id, show_possible_on)
+
+        self.logger.result(
+            f"gallia-analyze: elapsed time(sec): {str(time.process_time() - start_time)}"
+        )
diff --git a/src/gallia/analyzer/mode_config.py b/src/gallia/analyzer/mode_config.py
new file mode 100644
index 000000000..6e674f3a6
--- /dev/null
+++ b/src/gallia/analyzer/mode_config.py
@@ -0,0 +1,38 @@
+# SPDX-FileCopyrightText: AISEC Pentesting Team
+#
+# SPDX-License-Identifier: Apache-2.0
+
+"""
+gallia-analyze Mode Config module
+"""
+
+from enum import IntEnum
+
+
+class ScanMode(IntEnum):
+    """
+    enum class for scan mode
+    """
+
+    SERV = 0x01
+    IDEN = 0x02
+    UNKNOWN = 0x00
+
+
+class OpMode(IntEnum):
+    """
+    enum class for analysis mode
+    """
+
+    VEN_SPEC = 0x01
+    ISO = 0x02
+
+
+class LogMode(IntEnum):
+    """
+    enum class for log mode
+    """
+
+    STD_OUT = 0x01
+    LOG_FILE = 0x02
+    DUBUG = 0x03
diff --git a/src/gallia/analyzer/name_config.py b/src/gallia/analyzer/name_config.py
new file mode 100644
index 000000000..a965cc059
--- /dev/null
+++ b/src/gallia/analyzer/name_config.py
@@ -0,0 +1,131 @@
+# SPDX-FileCopyrightText: AISEC Pentesting Team
+#
+# SPDX-License-Identifier: Apache-2.0
+
+"""
+gallia-analyze Name Config module
+"""
+
+NEG_STR = "NOT "
+
+
+class TblNm:
+    """
+    class for relational table names in the database
+    """
+
+    scan_result = "scan_result"
+    scan_run = "scan_run"
+    run_meta = "run_meta"
+    serv = "analysis_service"
+    iden = "analysis_identifier"
+    ven_lu = "vendor_lookup"
+    ven_sess = "vendor_session"
+    ref_resp = "analysis_ref_response"
+    ref_sess = "analysis_ref_session"
+    ref_sbfn = "analysis_ref_subfunc"
+    meta = "analysis_meta"
+
+
+class ColNm:
+    """
+    class for colunm names in relational tables
+    """
+
+    run = "run"
+    run_id = "run_id"
+    run_meta_id = "run_meta_id"
+    index = "index"
+    sess = "session"
+    sess_name = "session_name"
+    state = "state"
+    serv = "service"
+    serv_name = "service_name"
+    sbfn = "subfunc"
+    iden = "identifier"
+    fail = "failure"
+    resp = "response"
+    resp_name = "response_name"
+    scan_mode = "scan_mode"
+    mode = "mode"
+    ecu_mode = "ecu_mode"
+    boot = "boot"
+    combi = "combi"
+    dft = "default"
+    id = "id"
+    t_rqst = "request_time"
+    t_resp = "response_time"
+    t_react = "reaction_time"
+    prefix = "$_"
+    infix = "_"
+    is_err = "is_error"
+
+
+class VwNm:
+    """
+    class for view names in database
+    """
+
+    ecu_vw = "ecu_view"
+    mode_vw = "mode_view"
+    ven_ref_vw = "vendor_ref_view"
+    ven_ref_sep_vw = "vendor_ref_sep_view"
+    resp_vw = "res_view"
+    ref_vw = "ref_view"
+    serv_oi = "service_of_interest"
+    sess_alwd = "session_allowed"
+    sbfn_alwd = "subfunc_allowed"
+    iden_alwd = "identifier_allowed"
+    resp_alwd = "response_allowed"
+
+
+class KyNm:
+    """
+    class for JSON key names
+    """
+
+    err = "response"
+    err_name = "response_name"
+    sess = "session"
+    sess_name = "session_name"
+    serv = "service"
+    serv_name = "service_name"
+    resp = "response"
+    rgb = "rgb"
+    sbfn = "subfunc"
+    mode = "mode"
+
+    # key names for conditions
+    scan_serv = "scan-service"
+    scan_iden = "scan-identifier"
+    scan_mode = "SCAN MODE"
+    fail = "FAILURE"
+    resd = "RESPONDED"
+    match = "MATCH"
+    supp = "SUPPORTED"
+    known = "KNOWN"
+    for_serv = "FOR SERVICE"
+
+
+class ShtNm:
+    """
+    class for EXCEL sheet names
+    """
+
+    init = "Sheet"
+    sum = "Summary"
+    undoc = "IDs Undocumented"
+    miss = "IDs Missing"
+
+
+class CellCnt:
+    """
+    class for EXCEL cell texts
+    """
+
+    default = "Default"
+    serv = "Service ID"
+    no_ent = "NO_ENTRY"
+    sbfn = "Subfunc"
+    sess_unscn = "[Session not scanned]"
+    sess_undoc = "[Session undocumented]"
diff --git a/src/gallia/analyzer/naming_conventions.txt b/src/gallia/analyzer/naming_conventions.txt
new file mode 100644
index 000000000..57f251b08
--- /dev/null
+++ b/src/gallia/analyzer/naming_conventions.txt
@@ -0,0 +1,53 @@
+
+# ========================================================== #
+#
+# [Data type naming conventions]
+#
+# <suffix>
+# _ls: python list
+# _dict: python dictionary
+# _sql: SQL string
+# _vec: numpy n-dimentional array
+# _ser: pandas Series
+# _df: pandas Data Frame
+# _cond: partial SQL string for condition
+# _on: python boolean
+#
+# <prefix>
+# cond_: pandas Series of conditional expressions
+#
+# [Abbreviations]
+#
+# abn: abnormal
+# aem: all ECU modes
+# aio: all-in-one
+# alwd: allowed
+# col: column
+# cond: condition
+# cur: current
+# err: error
+# iden: identifier
+# lu: lookup
+# neg: negative
+# nm: name
+# oi: of interest
+# op: operation
+# pos: positive
+# prec: precision
+# psb: possible
+# resp: response
+# sbfn: sub-function
+# serv: service
+# sess: session
+# sht: sheet
+# sid: service id
+# src: source
+# supp: supported
+# tbl: table
+# tra: reaction time
+# trg: target
+# ven: vendor
+# wi: with
+# wo: without
+#
+# ========================================================== #
diff --git a/src/gallia/analyzer/naming_conventions.txt.license b/src/gallia/analyzer/naming_conventions.txt.license
new file mode 100644
index 000000000..fd78c804a
--- /dev/null
+++ b/src/gallia/analyzer/naming_conventions.txt.license
@@ -0,0 +1,3 @@
+SPDX-FileCopyrightText: 2022 AISEC Pentesting Team
+
+SPDX-License-Identifier: Apache-2.0
diff --git a/src/gallia/analyzer/operator.py b/src/gallia/analyzer/operator.py
new file mode 100644
index 000000000..1a6d83fb7
--- /dev/null
+++ b/src/gallia/analyzer/operator.py
@@ -0,0 +1,594 @@
+# SPDX-FileCopyrightText: AISEC Pentesting Team
+#
+# SPDX-License-Identifier: Apache-2.0
+
+"""
+gallia-analyze Operator module
+"""
+import json
+from json.decoder import JSONDecodeError
+from sqlite3 import OperationalError
+from itertools import chain
+from typing import cast
+import numpy as np
+import pandas as pd
+from pandas.core.indexing import IndexingError
+from gallia.analyzer.db_handler import DatabaseHandler
+from gallia.analyzer.config import TblStruct, SrcPath, MiscError, NUM_ECU_MODES
+from gallia.analyzer.iso_def import ISO_ERR_FOR_ALL, ISO_ERR_NOT_SUPP, ISO_SERV_BY_ID
+from gallia.analyzer.failure import Failure
+from gallia.analyzer.name_config import ColNm, TblNm, VwNm
+from gallia.analyzer.mode_config import LogMode, ScanMode, OpMode
+from gallia.analyzer.exceptions import EmptyTableException, ColumnMismatchException
+from gallia.analyzer.constants import UDSIsoSessions
+from gallia.services.uds.core.constants import UDSErrorCodes, UDSIsoServices
+from gallia.services.uds.core.utils import g_repr
+
+
+class Operator(DatabaseHandler):
+    """
+    Class for common basic operations and utilities such as loading metadata of runs,
+    loading reference dictionaries, getting other information from a certain run in the database.
+    """
+
+    def __init__(self, path: str = "", log_mode: LogMode = LogMode.STD_OUT):
+        DatabaseHandler.__init__(self, path, log_mode)
+        self.num_modes = 0
+        self.run_meta_df = pd.DataFrame()
+        self.lu_iden_df = pd.DataFrame()
+        self.ref_ven_df = pd.DataFrame()
+        self.supp_serv_ven_vec = np.array([])
+        self.sess_code_vec = np.array([])
+        self.sess_code_dict: dict[int, str] = {}
+        self.sess_name_dict: dict[str, int] = {}
+        self.load_all_dicts()
+        if self.connect_db():
+            self.load_ref_iso()
+
+    def check_df(self, raw_df: pd.DataFrame, cols_dict: dict) -> bool:
+        """
+        check if a data frame matches with the given data structure.
+        may raise EmptyTableException or ColumnMismatchException.
+        """
+        if raw_df.shape == (0, 0):
+            raise EmptyTableException
+        for col in cols_dict.keys():
+            if col not in raw_df.columns:
+                raise ColumnMismatchException
+        return True
+
+    def get_runs(self) -> np.ndarray:
+        """
+        get all a numpy array of all runs in the database.
+        """
+        if self.load_meta(force=True):
+            return self.run_meta_df.index.to_numpy()
+        return np.array([])
+
+    def get_scan_mode(self, run: int) -> ScanMode:
+        """
+        get scan mode of a run in the database.
+        """
+        if not self.load_meta():
+            return ScanMode.UNKNOWN
+        try:
+            scan_mode_str = self.run_meta_df.loc[run, ColNm.scan_mode]
+            if scan_mode_str == "scan-uds-services":
+                return ScanMode.SERV
+            if scan_mode_str in ["scan-uds-identifiers", "scan-uds-reset"]:
+                return ScanMode.IDEN
+            else:
+                self.logger.error(f"Unknown scan mode: {scan_mode_str}")
+                return ScanMode.UNKNOWN
+        except (KeyError, IndexingError, AttributeError) as exc:
+            self.logger.error(f"getting scan mode failed: {g_repr(exc)}")
+            return ScanMode.UNKNOWN
+
+    def get_sid(self, run: int) -> int:
+        """
+        get Service ID for a given scan_identifier run.
+        """
+        try:
+            if self.get_scan_mode(run) != ScanMode.IDEN:
+                self.logger.error("scan mode is not scan_identifier")
+                return -1
+            raw_df = self.read_run_db(TblNm.iden, run)
+            self.check_df(raw_df, TblStruct.iden)
+            serv_vec = np.unique(raw_df[ColNm.serv])
+            if serv_vec.shape[0] > 1:
+                self.logger.warning("A run has more than one Service ID")
+            serv_ser = raw_df[ColNm.serv].mode(dropna=True)
+            if serv_ser.shape[0] > 1:
+                self.logger.warning(
+                    "A run has more than one most frequent Service ID"
+                )
+        except (
+            KeyError,
+            IndexingError,
+            AttributeError,
+            EmptyTableException,
+            ColumnMismatchException,
+        ) as exc:
+            self.logger.error(f"getting Service ID failed: {g_repr(exc)}")
+            return -1
+        return serv_ser[0]
+
+    def get_ecu_mode(self, run: int) -> int:
+        """
+        get ECU mode of a run in the database.
+        """
+        if not self.load_meta():
+            return -1
+        try:
+            _ecu_mode = self.run_meta_df.loc[run, ColNm.ecu_mode]
+            if isinstance(_ecu_mode, int):
+                ecu_mode = _ecu_mode
+            else:
+                # ecu_mode must be positive integer in the current implementation
+                # we use the dummy mode 0 if ECU does not use ecu_modes at all
+                ecu_mode = 0
+            return ecu_mode
+        except (KeyError, IndexingError, AttributeError) as exc:
+            self.logger.error(f"getting ECU mode failed: {g_repr(exc)}")
+            return -1
+
+    def get_op_mode(self, iso_on: bool) -> OpMode:
+        """
+        get analysis mode. Input of True returns vendor-specific analysis mode.
+        """
+        if iso_on:
+            an_opt = OpMode.ISO
+        else:
+            an_opt = OpMode.VEN_SPEC
+        return an_opt
+
+    def get_sess_lu(self) -> np.ndarray:
+        """
+        get a vector of diagnostic sessions that are definded in vendor lookup table.
+        """
+        try:
+            lu_df = self.read_db(TblNm.ven_lu)
+            self.check_df(lu_df, TblStruct.ven_lu)
+            sess_vec = np.unique(lu_df[ColNm.sess])
+        except (
+            KeyError,
+            IndexingError,
+            AttributeError,
+            EmptyTableException,
+            ColumnMismatchException,
+        ) as exc:
+            self.logger.error(
+                f"getting sessions in lookup table failed: {g_repr(exc)}"
+            )
+            return np.array([])
+        return sess_vec
+
+    def get_ref_df_from_json(self, path: str) -> pd.DataFrame:
+        """
+        get reference summary from JSON file.
+        """
+        try:
+            with open(path, encoding="utf8") as source_json:
+                serv_ls = json.load(source_json)
+            ref_df = pd.DataFrame()
+            for serv in serv_ls:
+                ser = pd.Series(serv)
+                ref_df = pd.concat([ref_df, ser], axis=1)
+            ref_df = ref_df.T
+            ref_df.loc[:, ColNm.serv] = ref_df.loc[:, ColNm.serv].astype("int64")
+            ref_df.sort_values(ColNm.serv)
+            ref_df = ref_df.set_index(ColNm.serv)
+        except (
+            KeyError,
+            IndexingError,
+            AttributeError,
+            FileNotFoundError,
+            JSONDecodeError,
+        ) as exc:
+            self.logger.error(
+                f"getting reference summary from JSON failed: {g_repr(exc)}"
+            )
+            return pd.DataFrame()
+        return ref_df
+
+    def get_dft_err_df_from_raw(self, raw_df: pd.DataFrame) -> pd.DataFrame:
+        """
+        get summarized data frame that shows most common error(default error)
+        for each diagnostic session from raw data frame.
+        """
+        try:
+            sess_vec = np.unique(raw_df[ColNm.sess])
+            dft_err_df = pd.DataFrame([], index=[ColNm.dft], columns=sess_vec)
+            for sess in sess_vec:
+                cond = raw_df[ColNm.sess] == sess
+                dft_err_df.loc[ColNm.dft, sess] = raw_df.loc[cond, ColNm.resp].mode()[0]
+            dft_err_df.attrs[ColNm.serv] = list(np.unique(raw_df[ColNm.serv]))
+        except (
+            KeyError,
+            IndexingError,
+            AttributeError,
+            EmptyTableException,
+            ColumnMismatchException,
+        ) as exc:
+            self.logger.error(
+                f"getting default error data frame failed: {g_repr(exc)}"
+            )
+            return pd.DataFrame()
+        return dft_err_df
+
+    def get_pos_res(self, search_id: int) -> str:
+        """
+        get positive response from data table with a scan entry ID.
+        """
+        try:
+            res_sql = f"""
+            SELECT json_extract("response_data", '$.data_records[0]')
+            FROM "{TblNm.scan_result}" WHERE "{ColNm.id}" = {str(search_id)};
+            """
+            res_df = self.get_df_by_query(res_sql)
+            resp = cast(str, res_df.iloc[0, 0])
+        except (KeyError, IndexingError, AttributeError) as exc:
+            self.logger.error(f"getting positive response failed: {g_repr(exc)}")
+            return ""
+        return resp
+
+    def load_meta(self, force: bool = False) -> bool:
+        """
+        load meta data of all runs in the database.
+        """
+        if force:
+            pass
+        elif self.run_meta_df.shape != (0, 0):
+            return True
+        gen_meta_sql = f"""
+        DROP VIEW IF EXISTS "{VwNm.ecu_vw}";
+        DROP VIEW IF EXISTS "{VwNm.mode_vw}";
+        CREATE VIEW "{VwNm.ecu_vw}"
+        AS SELECT "{ColNm.id}" as {ColNm.run_id}, meta as {ColNm.run_meta_id}, json_extract("properties_pre", "$.mode") AS "{ColNm.ecu_mode}"
+        FROM "{TblNm.scan_run}";
+        CREATE VIEW "{VwNm.mode_vw}"
+        AS SELECT "{ColNm.id}" AS "{ColNm.run_meta_id}",
+        json_extract("command_meta", "$.group") ||  "-" || json_extract("command_meta", "$.subgroup") || "-" || json_extract("command_meta", "$.command") AS "{ColNm.scan_mode}"
+        FROM "{TblNm.run_meta}"
+        WHERE exit_code = 0;
+        DROP TABLE IF EXISTS "{TblNm.meta}";
+        CREATE TABLE "{TblNm.meta}"
+        AS SELECT "{ColNm.run_id}", "{ColNm.ecu_mode}", "{ColNm.scan_mode}"
+        FROM "{VwNm.ecu_vw}"
+        INNER JOIN "{VwNm.mode_vw}"
+        ON "{VwNm.ecu_vw}"."{ColNm.run_meta_id}" = "{VwNm.mode_vw}"."{ColNm.run_meta_id}";
+        """
+        try:
+            self.cur.executescript(gen_meta_sql)
+            meta_df = self.read_db(TblNm.meta)
+            if meta_df.shape == (0, 0):
+                self.logger.error("no meta data")
+                return False
+            meta_df.set_index("run_id", inplace=True)
+            self.run_meta_df = meta_df
+        except (KeyError, IndexingError, AttributeError, OperationalError) as exc:
+            self.logger.error(
+                f"loading run meta data failed: {g_repr(exc)}",
+            )
+            return False
+        return True
+
+    def load_ven_lu(self, force: bool = False, num_modes: int = NUM_ECU_MODES) -> bool:
+        """
+        load reference summary for vendor-specific analysis from the database.
+        """
+        if force:
+            pass
+        elif self.ref_ven_df.shape != (0, 0):
+            return True
+        try:
+            lu_df = self.read_db(TblNm.ven_lu)
+            self.check_df(lu_df, TblStruct.ven_lu)
+            supp_serv_vec = np.sort(np.unique(lu_df[ColNm.serv]))
+            mode_vec = np.arange(num_modes)
+            ven_lu_dict = {}
+            self.num_modes = 0
+            for mode in mode_vec:
+                loi_df = lu_df[lu_df[ColNm.ecu_mode] == mode].copy()
+                if loi_df.shape[0] == 0:
+                    continue
+                else:
+                    self.num_modes += 1
+                ref_df = pd.DataFrame(columns=supp_serv_vec)
+                for serv in supp_serv_vec:
+                    sess_ls = list(
+                        np.sort(
+                            np.unique(
+                                loi_df.loc[loi_df[ColNm.serv] == serv, ColNm.sess]
+                            )
+                        )
+                    )
+                    sbfn_ls = list(
+                        np.sort(
+                            np.unique(
+                                loi_df.loc[loi_df[ColNm.serv] == serv, ColNm.sbfn]
+                            )
+                        )
+                    )
+                    iden_ls = list(
+                        np.sort(
+                            np.unique(
+                                loi_df.loc[
+                                    loi_df[ColNm.serv] == serv,
+                                    ColNm.iden,
+                                ]
+                            )
+                        )
+                    )
+                    ref_df[serv] = pd.Series(
+                        [sess_ls, sbfn_ls, iden_ls],
+                        index=[ColNm.sess, ColNm.sbfn, ColNm.iden],
+                    )
+                ven_lu_dict[mode] = ref_df.T
+            ven_lu_df = pd.concat(ven_lu_dict.values(), axis=1, keys=ven_lu_dict.keys())
+            self.ref_ven_df = ven_lu_df
+            self.supp_serv_ven_vec = np.sort(np.array(ven_lu_df.index))
+        except (
+            KeyError,
+            IndexingError,
+            AttributeError,
+            EmptyTableException,
+            ColumnMismatchException,
+        ) as exc:
+            self.logger.error(
+                f"loading vendor-specific reference failed: {g_repr(exc)}"
+            )
+            return False
+        return True
+
+    def load_ref_iso(self, force: bool = False) -> bool:
+        """
+        load reference summary for UDS ISO standard.
+        """
+        if force:
+            pass
+        elif self.ref_ven_df.shape != (0, 0):
+            return True
+        try:
+            ref_iso_df = self.get_ref_df_from_json(SrcPath.uds_iso_src)
+            self.supp_serv_iso_vec = np.sort(np.array(ref_iso_df.index))
+            self.ref_iso_df: pd.DataFrame = ref_iso_df.sort_index()
+        except (KeyError, IndexingError, AttributeError) as exc:
+            self.logger.error(
+                f"loading reference summary for UDS ISO failed: {g_repr(exc)}"
+            )
+            return False
+        return True
+
+    def load_all_dicts(self) -> bool:
+        """
+        load necessary dictionaries for UDS ISO standard.
+        """
+        self.iso_err_means_not_supp_vec = np.array(ISO_ERR_NOT_SUPP)
+        self.iso_supp_err_for_all_vec = np.array(ISO_ERR_FOR_ALL)
+        self.iso_serv_by_iden_vec = np.array(ISO_SERV_BY_ID)
+        self.iso_serv_name_dict = {serv.name: serv.value for serv in UDSIsoServices}
+        self.iso_serv_name_dict.update({"noService": -1})
+        self.iso_serv_code_dict = dict(
+            (y, x) for x, y in self.iso_serv_name_dict.items()
+        )
+        self.iso_serv_code_vec = np.array(list(self.iso_serv_name_dict.values()))
+        self.iso_err_name_dict = {
+            e.name: e.value for e in chain(UDSErrorCodes, MiscError)
+        }
+        self.iso_err_code_dict = dict((y, x) for x, y in self.iso_err_name_dict.items())
+        self.iso_err_code_vec = np.array(list(self.iso_err_name_dict.values()))
+        self.iso_sess_name_dict = {sess.name: sess.value for sess in UDSIsoSessions}
+        self.iso_sess_code_dict = dict(
+            (y, x) for x, y in self.iso_sess_name_dict.items()
+        )
+        self.fail_name_dict = {fail.name: fail.value for fail in Failure}
+        self.fail_code_dict = dict((y, x) for x, y in self.fail_name_dict.items())
+        return True
+
+    def load_ven_sess(self) -> bool:
+        try:
+            sess_df = self.read_db(TblNm.ven_sess)
+            self.check_df(sess_df, TblStruct.ven_sess)
+            sess_df = sess_df.set_index(ColNm.sess)
+            self.sess_code_dict = sess_df[ColNm.sess_name].to_dict(dict)
+            self.sess_name_dict = dict((y, x) for x, y in self.sess_code_dict.items())
+            self.sess_code_vec = np.array(list(self.sess_code_dict.keys()))
+        except (
+            KeyError,
+            IndexingError,
+            AttributeError,
+            EmptyTableException,
+            ColumnMismatchException,
+        ) as exc:
+            self.sess_name_dict = self.iso_sess_name_dict
+            self.sess_code_dict = self.iso_sess_code_dict
+            self.logger.error(
+                f"loading vendor-specific sessions failed: {g_repr(exc)}"
+            )
+            return False
+        return True
+
+    def load_lu_iden(self, serv: int, ecu_mode: int) -> bool:
+        """
+        load lookup reference of a certain service for scan_identifier analysis.
+        """
+        if serv not in self.iso_serv_by_iden_vec:
+            return False
+        try:
+            raw_df = self.read_db(TblNm.ven_lu)
+            self.check_df(raw_df, TblStruct.ven_lu)
+            serv_df = raw_df[
+                (raw_df[ColNm.serv] == serv) & (raw_df[ColNm.ecu_mode] == ecu_mode)
+            ].copy()
+            self.lu_iden_df = pd.DataFrame(
+                np.unique(
+                    list(
+                        zip(
+                            serv_df[ColNm.sess],
+                            serv_df[ColNm.boot],
+                            serv_df[ColNm.sbfn],
+                            serv_df[ColNm.iden],
+                            serv_df[ColNm.ecu_mode],
+                        )
+                    )
+                ),
+                columns=[ColNm.combi],
+            )
+        except (
+            EmptyTableException,
+            ColumnMismatchException,
+            KeyError,
+            AttributeError,
+            OperationalError,
+        ) as exc:
+            self.lu_iden_df = pd.DataFrame()
+            self.logger.error(
+                f"loading lookup for service 0x{serv:02x} failed: {g_repr(exc)}"
+            )
+            return False
+        return True
+
+    def prepare_table(self) -> bool:
+        """
+        prepare relational tables to save data for scan_service and scan_identifier.
+        """
+        if not self.create_table(TblNm.serv, TblStruct.serv):
+            self.logger.error("preparing table for scan_service failed")
+            return False
+        if not self.create_table(TblNm.iden, TblStruct.iden):
+            self.logger.error("preparing table for scan_identifier failed")
+            return False
+        return True
+
+    def prepare_alwd_all(
+        self, ecu_mode: int = 0, op_mode: OpMode = OpMode.VEN_SPEC
+    ) -> bool:
+        """
+        prepare reference relational tables for response, session and subfunctions.
+        """
+        if op_mode == OpMode.ISO:
+            ref_df = self.ref_iso_df
+        if op_mode == OpMode.VEN_SPEC:
+            ref_df = cast(
+                pd.DataFrame, self.ref_ven_df[ecu_mode]
+            )  # this a nested DataFrame, which yields a DataFrame per ecu_mode
+        if not self.prepare_alwd_res():
+            return False
+        if not self.prepare_alwd_sess_boot(op_mode, ecu_mode):
+            return False
+        if not self.prepare_alwd(
+            TblNm.ref_sbfn, TblStruct.ref_sbfn, ColNm.sbfn, ref_df
+        ):
+            return False
+        return True
+
+    def prepare_alwd_res(self) -> bool:
+        """
+        prepare reference relational table for response.
+        """
+        if not self.prepare_alwd(
+            TblNm.ref_resp,
+            TblStruct.ref_resp,
+            ColNm.resp,
+            self.ref_iso_df,
+        ):
+            return False
+        return True
+
+    def prepare_alwd_sess_boot(
+        self, op_mode: OpMode = OpMode.VEN_SPEC, ecu_mode: int = 0
+    ) -> bool:
+        """
+        prepare reference relational table for session and boot.
+        """
+        try:
+            if op_mode == OpMode.ISO:
+                return self.prepare_alwd(
+                    TblNm.ref_sess, TblStruct.ref_sess, ColNm.sess, self.ref_iso_df
+                )
+            if not self.create_table(TblNm.ref_sess, TblStruct.ref_sess):
+                return False
+            pair_ls = []
+            ven_lu_df = self.read_db(TblNm.ven_lu)
+            self.check_df(ven_lu_df, TblStruct.ven_lu)
+            ven_lu_df = ven_lu_df[ven_lu_df[ColNm.ecu_mode] == ecu_mode]
+            ven_lu_df[ColNm.combi] = list(
+                zip(ven_lu_df[ColNm.serv], ven_lu_df[ColNm.sess], ven_lu_df[ColNm.boot])
+            )
+            entries_vec = np.unique(ven_lu_df[ColNm.combi])
+            for entry in entries_vec:
+                pair_ls.append((entry[0], entry[1], entry[2]))
+            pair_df = pd.DataFrame(
+                pair_ls, columns=[ColNm.serv, ColNm.sess, ColNm.boot]
+            )
+            self.write_db(pair_df, TblNm.ref_sess)
+        except (
+            KeyError,
+            IndexError,
+            AttributeError,
+            EmptyTableException,
+            ColumnMismatchException,
+        ) as exc:
+            self.logger.error(
+                f"preparing table for session and boot failed: {g_repr(exc)}"
+            )
+            return False
+        return True
+
+    def prepare_alwd(
+        self, table_name: str, table_struct: dict, col_name: str, ref_df: pd.DataFrame
+    ) -> bool:
+        """
+        prepare a relational table for available diagnotic sessions, sub-functions
+        or NRCs for Service IDs defined in UDS ISO Standard.
+        """
+        try:
+            if not self.create_table(table_name, table_struct):
+                return False
+            pair_ls = []
+            for serv in ref_df[col_name].index:
+                entries_ls = ref_df.loc[serv, col_name]
+                for entry in entries_ls:
+                    pair_ls.append((serv, entry))
+                if table_name == TblNm.ref_resp and col_name == ColNm.resp:
+                    for entry in self.iso_supp_err_for_all_vec:
+                        pair_ls.append((serv, entry))
+            pair_df = pd.DataFrame(pair_ls, columns=[ColNm.serv, col_name])
+            self.write_db(pair_df, table_name)
+        except (KeyError, IndexError, AttributeError) as exc:
+            self.logger.error(
+                f"preparing table for availabilities failed: {g_repr(exc)}"
+            )
+            return False
+        return True
+
+    def clear(self) -> bool:
+        """
+        clear all relational tables in the database.
+        """
+        if not self.clear_alwd():
+            return False
+        table_ls = [
+            TblNm.serv,
+            TblNm.iden,
+            TblNm.meta,
+        ]
+        for table_name in table_ls:
+            if not self.delete_table(table_name):
+                return False
+        return True
+
+    def clear_alwd(self) -> bool:
+        """
+        clear relational tables for reference in the database.
+        """
+        table_ls = [
+            TblNm.ref_resp,
+            TblNm.ref_sess,
+            TblNm.ref_sbfn,
+        ]
+        for table_name in table_ls:
+            if not self.delete_table(table_name):
+                return False
+        return True
diff --git a/src/gallia/analyzer/reporter.py b/src/gallia/analyzer/reporter.py
new file mode 100644
index 000000000..f8c67586c
--- /dev/null
+++ b/src/gallia/analyzer/reporter.py
@@ -0,0 +1,347 @@
+# SPDX-FileCopyrightText: AISEC Pentesting Team
+#
+# SPDX-License-Identifier: Apache-2.0
+
+"""
+gallia-analyze Reporter module
+"""
+import os
+from pathlib import Path
+from typing import cast
+
+import numpy as np
+import pandas as pd
+from pandas.core.indexing import IndexingError
+from gallia.analyzer.operator import Operator
+from gallia.analyzer.xl_generator import ExcelGenerator
+from gallia.analyzer.config import TblStruct, NUM_ECU_MODES
+from gallia.analyzer.mode_config import LogMode, ScanMode
+from gallia.analyzer.name_config import ColNm, TblNm
+from gallia.analyzer.exceptions import ColumnMismatchException, EmptyTableException
+from gallia.services.uds.core.utils import g_repr
+
+
+class Reporter(Operator):
+    """
+    Reporter class for generating EXCEL report and visualizing data with graphs and data frames.
+    """
+
+    def __init__(
+        self, path: str, artifacts_dir: Path, log_mode: LogMode = LogMode.STD_OUT
+    ):
+        Operator.__init__(self, path, log_mode)
+        self.artifacts_dir = artifacts_dir
+        self.abn_serv_vec = np.array([])
+        self.abn_iden_vec = np.array([])
+        self.xl_ext = ".xlsx"
+
+    def iterate_all(self, show_psb: bool = False) -> bool:
+        """
+        consolidate all scan_identifier runs for all services by identifier respectively into EXCEL files.
+        """
+        for serv in self.iso_serv_by_iden_vec:
+            if not self.consolidate_xl_iden(serv, show_psb):
+                continue
+        return True
+
+    def consolidate_xl_serv(self, show_psb: bool = False) -> bool:
+        """
+        consolidate all scan_service runs sorted by ECU mode into one EXCEL file.
+        """
+        if not self.load_meta(force=True):
+            return False
+        self.load_ven_sess()
+        self.load_ven_lu()
+        self.logger.result(
+            f"consolidating scan_service by ECU mode from {self.db_path} ..."
+        )
+        xl_generator = ExcelGenerator(self.db_path, self.log_mode)
+        xl_is_empty = True
+        for ecu_mode in np.arange(self.num_modes):
+            try:
+                sql = f"""
+                SELECT * FROM "{TblNm.serv}"
+                WHERE "{ColNm.ecu_mode}" = {str(ecu_mode)};
+                """
+                raw_df = self.get_df_by_query(sql, False)
+                self.check_df(raw_df, TblStruct.serv)
+                if not self.load_sid_oi_from_df(raw_df, ecu_mode):
+                    continue
+                entries_vec = self.get_entries_oi(ScanMode.SERV, show_psb)
+                xl_generator.write_xl(entries_vec, raw_df, ScanMode.SERV, ecu_mode)
+                xl_is_empty = False
+            except (
+                IndexError,
+                ColumnMismatchException,
+                AttributeError,
+            ) as exc:
+                self.logger.error(
+                    f"consolidating scan_service failed: {g_repr(exc)}"
+                )
+                continue
+            except EmptyTableException:
+                self.logger.warning(f"nothing to report for ECU mode {ecu_mode}.")
+        if xl_is_empty:
+            return False
+        out_path = self.get_path(
+            "all_services_by_ecu_mode", self.xl_ext, rm_if_exists=True
+        )
+        if not xl_generator.save_close_xl(out_path):
+            return False
+        return True
+
+    def consolidate_xl_iden(self, serv: int, show_psb: bool = False) -> bool:
+        """
+        consolidate all scan_identifier runs sorted by ECU mode
+        for a certain given service into one EXCEL file.
+        """
+        if serv not in self.iso_serv_by_iden_vec:
+            self.logger.error("given Service ID is not service by identifier.")
+            return False
+        if not self.load_meta(force=True):
+            return False
+        self.load_ven_sess()
+        self.load_ven_lu()
+        self.logger.result(
+            f"consolidating for Service ID 0x{serv:02X} {self.iso_serv_code_dict[serv]} from {self.db_path} ..."
+        )
+        xl_generator = ExcelGenerator(self.db_path, self.log_mode)
+        xl_is_empty = True
+        if self.num_modes == 0:
+            num_modes = NUM_ECU_MODES
+            self.logger.warning(
+                f"no information about ECU modes. trying {NUM_ECU_MODES} mode(s)..."
+            )
+        else:
+            num_modes = self.num_modes
+        for ecu_mode in np.arange(num_modes):
+            try:
+                sql = f"""
+                SELECT * FROM "{TblNm.iden}"
+                WHERE "{ColNm.ecu_mode}" = {str(ecu_mode)}
+                AND "{ColNm.serv}" = {str(serv)};
+                """
+                raw_df = self.get_df_by_query(sql, False)
+                self.check_df(raw_df, TblStruct.iden)
+                self.load_iden_oi_from_df(raw_df, ecu_mode)
+                entries_vec = self.get_entries_oi(ScanMode.IDEN, show_psb)
+                if xl_generator.write_xl(entries_vec, raw_df, ScanMode.IDEN, ecu_mode):
+                    xl_is_empty = False
+            except (
+                IndexError,
+                ColumnMismatchException,
+                AttributeError,
+            ) as exc:
+                self.logger.error(
+                    f"consolidating scan_identifier failed: {g_repr(exc)}"
+                )
+                continue
+            except EmptyTableException:
+                self.logger.error(f"nothing to report for ECU mode {ecu_mode}.")
+        if xl_is_empty:
+            self.logger.info(f"nothing to report for Service ID 0x{serv:02X}")
+            return False
+        out_path = self.get_path(
+            f"0x{serv:02X}_{self.iso_serv_code_dict[serv]}",
+            self.xl_ext,
+            rm_if_exists=True,
+        )
+        if not xl_generator.save_close_xl(out_path):
+            return False
+        return True
+
+    def report_xl(
+        self,
+        runs_vec: np.ndarray,
+        show_psb: bool = False,
+    ) -> bool:
+        """
+        generate EXCEL report for given input runs.
+        """
+        if not self.load_meta(force=True):
+            return False
+        self.load_ven_sess()
+        self.load_ven_lu()
+        res = True
+        for run in runs_vec:
+            res = res & self.report_xl_each_run(run, show_psb)
+        return res
+
+    def report_xl_each_run(self, run: int, show_psb: bool = False) -> bool:
+        """
+        generate EXCEL report for a certain run.
+        """
+        self.logger.result(f"reporting run #{str(run)} from {self.db_path} ...")
+        scan_mode = self.get_scan_mode(run)
+        if scan_mode == ScanMode.SERV:
+            return self.report_xl_serv(run, show_psb)
+        if scan_mode == ScanMode.IDEN:
+            return self.report_xl_iden(run, show_psb)
+        self.logger.error(f"Unknown scan mode: {scan_mode}")
+        return False
+
+    def report_xl_serv(self, run: int, show_psb: bool = False) -> bool:
+        """
+        generate EXCEL report for a certain run of scan_service.
+        """
+        try:
+            raw_df = self.read_run_db(TblNm.serv, run)
+            self.check_df(raw_df, TblStruct.serv)
+            self.load_sid_oi_from_df(raw_df)
+            entries_vec = self.get_entries_oi(ScanMode.SERV, show_psb)
+            xl_generator = ExcelGenerator(self.db_path, self.log_mode)
+            if not xl_generator.write_xl(entries_vec, raw_df, ScanMode.SERV):
+                return False
+            out_path = self.get_path(
+                f"serv_run{run:02}", self.xl_ext, rm_if_exists=True
+            )
+            if not xl_generator.save_close_xl(out_path):
+                return False
+        except (EmptyTableException, ColumnMismatchException, AttributeError) as exc:
+            self.logger.error(f"reporting scan_service failed: {g_repr(exc)}")
+            return False
+        return True
+
+    def report_xl_iden(self, run: int, show_psb: bool = False) -> bool:
+        """
+        generate EXCEL report for a certain run of scan_identifier.
+        """
+        try:
+            raw_df = self.read_run_db(TblNm.iden, run)
+            self.check_df(raw_df, TblStruct.iden)
+            self.load_iden_oi_from_df(raw_df)
+            entries_vec = self.get_entries_oi(ScanMode.IDEN, show_psb)
+            xl_generator = ExcelGenerator(self.db_path, self.log_mode)
+            if not xl_generator.write_xl(entries_vec, raw_df, ScanMode.IDEN):
+                return False
+            out_path = self.get_path(
+                f"iden_run{run:02}", self.xl_ext, rm_if_exists=True
+            )
+            if not xl_generator.save_close_xl(out_path):
+                return False
+        except (EmptyTableException, ColumnMismatchException, AttributeError) as exc:
+            self.logger.error(f"reporting scan_identifier failed: {g_repr(exc)}")
+            return False
+        return True
+
+    def get_path(
+        self, suffix: str = "", ext: str = ".xlsx", rm_if_exists: bool = False
+    ) -> str:
+        """
+        get path for EXCEL report file by combining path prefix,
+        run number and EXCEL extension.
+        """
+        out_path = self.artifacts_dir.joinpath(f"{suffix}{ext}")
+        if out_path.is_file() and rm_if_exists:
+            os.remove(out_path)
+            self.logger.info(f"existing file removed from {out_path}")
+        return str(out_path)
+
+    def get_entries_oi(self, scan_mode: ScanMode, show_psb: bool = False) -> np.ndarray:
+        """
+        get services or identifiers of interest to display in summary sheet.
+        """
+        if show_psb:
+            if scan_mode == ScanMode.SERV:
+                return np.arange(256)
+            if scan_mode == ScanMode.IDEN:
+                return np.arange(65536)
+        else:
+            if scan_mode == ScanMode.SERV:
+                return self.abn_serv_vec
+            if scan_mode == ScanMode.IDEN:
+                return self.abn_iden_vec
+        return np.array([])
+
+    def load_sid_oi(self, run: int, ecu_mode: int = -1) -> bool:
+        """
+        load services of interest in a given input run.
+        """
+        try:
+            raw_df = self.read_run_db(TblNm.serv, run)
+            self.check_df(raw_df, TblStruct.serv)
+            if not self.load_sid_oi_from_df(raw_df, ecu_mode):
+                return False
+        except (EmptyTableException, ColumnMismatchException) as exc:
+            self.logger.error(f"loading services of interest failed: {g_repr(exc)}")
+            return False
+        return True
+
+    def load_sid_oi_from_df(self, raw_df: pd.DataFrame, ecu_mode: int = -1) -> bool:
+        """
+        load services of interest from input raw data frame.
+        """
+        try:
+            dft_err_df = self.get_dft_err_df_from_raw(raw_df)
+            dft_err_ser: pd.Series = dft_err_df.loc[ColNm.dft]
+            cond_abn = pd.Series([False]).repeat(raw_df.shape[0]).reset_index(drop=True)
+            sess_vec = np.array(dft_err_df.columns)
+            raw_df[ColNm.combi] = list(zip(raw_df[ColNm.sess], raw_df[ColNm.resp]))
+            for sess in sess_vec:
+                cond_abn |= cast(
+                    pd.Series,
+                    raw_df[ColNm.combi].apply(
+                        lambda x, s=sess: (x[0] == s)
+                        and (x[1] != dft_err_ser[s])
+                        and (x[1] != -1)
+                        and (x[1] != 0)
+                    ),
+                )
+            if ecu_mode != -1:
+                cond_abn &= raw_df[ColNm.ecu_mode] == ecu_mode
+            self.abn_serv_vec = np.sort(np.unique(raw_df.loc[cond_abn, ColNm.serv]))
+        except (KeyError, IndexingError, AttributeError) as exc:
+            self.logger.error(
+                f"loading services of interest from data frame failed: {g_repr(exc)}"
+            )
+            return False
+        return True
+
+    def load_iden_oi(self, run: int, ecu_mode: int = -1) -> bool:
+        """
+        load identifiers of interest in a given input run.
+        """
+        try:
+            raw_df = self.read_run_db(TblNm.iden, run)
+            self.check_df(raw_df, TblStruct.iden)
+            if not self.load_iden_oi_from_df(raw_df, ecu_mode):
+                return False
+        except (EmptyTableException, ColumnMismatchException) as exc:
+            self.logger.error(
+                f"loading identifiers of interest failed: {g_repr(exc)}"
+            )
+            return False
+        return True
+
+    def load_iden_oi_from_df(self, raw_df: pd.DataFrame, ecu_mode: int = -1) -> bool:
+        """
+        load identifiers of interest from input raw data frame.
+        """
+        try:
+            serv_vec = np.sort(np.unique(raw_df[ColNm.serv]))
+            if not serv_vec.size == 1:
+                self.logger.error("more than one service in a run")
+                return False
+            dft_err_df = self.get_dft_err_df_from_raw(raw_df)
+            dft_err_ser: pd.Series = dft_err_df.loc[ColNm.dft]
+            cond_abn = pd.Series([False]).repeat(raw_df.shape[0]).reset_index(drop=True)
+            sess_vec = np.array(dft_err_df.columns)
+            raw_df[ColNm.combi] = list(zip(raw_df[ColNm.sess], raw_df[ColNm.resp]))
+            for sess in sess_vec:
+                cond_abn |= cast(
+                    pd.Series,
+                    raw_df[ColNm.combi].apply(
+                        lambda x, s=sess: (x[0] == s)
+                        and (x[1] != dft_err_ser[s])
+                        and (x[1] != -1)
+                    ),
+                )
+            if ecu_mode != -1:
+                cond_abn &= raw_df[ColNm.ecu_mode] == ecu_mode
+            self.abn_iden_vec = np.sort(np.unique(raw_df.loc[cond_abn, ColNm.iden]))
+        except (KeyError, IndexingError, AttributeError) as exc:
+            self.logger.error(
+                f"loading identifiers of interest from data frame failed: {g_repr(exc)}"
+            )
+            return False
+        return True
diff --git a/src/gallia/analyzer/time_analyzer.py b/src/gallia/analyzer/time_analyzer.py
new file mode 100644
index 000000000..4995ea531
--- /dev/null
+++ b/src/gallia/analyzer/time_analyzer.py
@@ -0,0 +1,252 @@
+# SPDX-FileCopyrightText: AISEC Pentesting Team
+#
+# SPDX-License-Identifier: Apache-2.0
+
+"""
+gallia-analyze Time Analyzer module
+"""
+import json
+from pathlib import Path
+
+import numpy as np
+import pandas as pd
+from pandas.core.indexing import IndexingError
+import matplotlib.pyplot as plt
+from gallia.analyzer.exceptions import ColumnMismatchException, EmptyTableException
+from gallia.analyzer.reporter import Reporter
+from gallia.analyzer.config import PltDesign, TblStruct, SrcPath, DFT_T_PREC
+from gallia.analyzer.mode_config import ScanMode, LogMode
+from gallia.analyzer.name_config import ColNm, TblNm, KyNm
+from gallia.services.uds.core.utils import g_repr
+
+
+class TimeAnalyzer(Reporter):
+    """
+    Time Analyzer class for reaction time analysis.
+    """
+
+    def __init__(
+        self,
+        path: str,
+        artifacts_dir: Path,
+        t_prec: int = DFT_T_PREC,
+        log_mode: LogMode = LogMode.STD_OUT,
+    ):
+        Reporter.__init__(self, path, artifacts_dir, log_mode)
+        self.t_prec = t_prec
+        self.jpg_ext = ".jpg"
+        self.csv_ext = ".csv"
+
+    def extract_tra(self, runs_vec: np.ndarray) -> bool:
+        """
+        extract reaction times of scan_service or scan_identifier in database.
+        """
+        for run in runs_vec:
+            self.extract_tra_each_run(run)
+        return True
+
+    def extract_tra_each_run(self, run: int) -> bool:
+        """
+        extract reaction times of each run.
+        """
+        self.logger.result(
+            f"extracting time for run #{str(run)} from {self.db_path} ..."
+        )
+        scan_mode = self.get_scan_mode(run)
+        if scan_mode == ScanMode.SERV:
+            tbl_nm = TblNm.serv
+            tbl_struct = TblStruct.serv
+        if scan_mode == ScanMode.IDEN:
+            tbl_nm = TblNm.iden
+            tbl_struct = TblStruct.iden
+        try:
+            raw_df = self.read_run_db(tbl_nm, run)
+            self.check_df(raw_df, tbl_struct)
+            raw_df[ColNm.t_rqst] = (
+                raw_df[ColNm.t_rqst]
+                .astype(str)
+                .apply(self.del_p)
+                .apply(self.adj_len)
+                .astype("int64")
+            )
+            raw_df[ColNm.t_resp] = (
+                raw_df[ColNm.t_resp]
+                .fillna(0)
+                .astype(str)
+                .apply(self.del_p)
+                .apply(self.adj_len)
+                .astype("int64")
+            )
+            raw_df.loc[raw_df[ColNm.t_resp] == 0, ColNm.t_resp] = raw_df.loc[
+                raw_df[ColNm.t_resp] == 0, ColNm.t_rqst
+            ]
+            raw_df[ColNm.t_react] = raw_df[ColNm.t_resp] - raw_df[ColNm.t_rqst]
+            raw_df.to_csv(
+                self.get_path(f"time_run{run:02}", self.csv_ext, rm_if_exists=True)
+            )
+        except (
+            KeyError,
+            IndexingError,
+            AttributeError,
+            EmptyTableException,
+            ColumnMismatchException,
+        ) as exc:
+            self.logger.error(
+                f"extracting reaction time for run #{run} failed: {g_repr(exc)}"
+            )
+            return False
+        return True
+
+    def plot_tra(self, runs_vec: np.ndarray) -> bool:
+        """
+        plot service ID or identifier and reaction time in scatter plot.
+        """
+        for run in runs_vec:
+            self.plot_tra_each_run(run)
+        return True
+
+    def plot_tra_each_run(self, run: int) -> bool:
+        """
+        plot reaction time for each run.
+        """
+        self.logger.result(
+            f"plotting reaction time for run #{str(run)} from {self.db_path} ..."
+        )
+        scan_mode = self.get_scan_mode(run)
+        if scan_mode == ScanMode.SERV:
+            self.plot_tra_serv(run)
+        if scan_mode == ScanMode.IDEN:
+            self.plot_tra_iden(run)
+        return True
+
+    def plot_tra_serv(self, run: int) -> bool:
+        """
+        plot service ID and reaction time in scatter for a given run.
+        """
+        try:
+            raw_df = pd.read_csv(self.get_path(f"time_run{run:02}", self.csv_ext))
+            plt.rcParams["figure.figsize"] = [30, 25]
+            with open(SrcPath.err_src, encoding="utf8") as resp_json:
+                resp_ls = json.load(resp_json)
+            c_tbl_dict = {}
+            for resp in resp_ls:
+                c_tbl_dict.update({resp[KyNm.resp]: f"#{resp[KyNm.rgb]}"})
+            plt.style.use(PltDesign.plot_style)
+            plt.scatter(
+                x=raw_df[ColNm.serv],
+                y=raw_df[ColNm.t_react],
+                s=10,
+                c=raw_df[ColNm.resp].map(c_tbl_dict),
+                cmap="viridis",
+            )
+            plt.xlabel("Service ID")
+            plt.ylabel("Reaction Time (nsec)")
+            plt.savefig(
+                self.get_path(
+                    f"serv_tra_plot_p{self.t_prec}_run{run:02}",
+                    self.jpg_ext,
+                    rm_if_exists=True,
+                )
+            )
+            plt.clf()
+            plt.cla()
+            plt.close()
+        except (KeyError, IndexingError, AttributeError, FileNotFoundError) as exc:
+            self.logger.error(
+                f"plotting service ID and reaction time in run #{run} failed: {g_repr(exc)}"
+            )
+            return False
+        return True
+
+    def plot_tra_iden(self, run: int) -> bool:
+        """
+        plot identifier and reaction time in scatter for a given run.
+        """
+        try:
+            raw_df = pd.read_csv(self.get_path(f"time_run{run:02}", self.csv_ext))
+            plt.rcParams["figure.figsize"] = [30, 25]
+            with open(SrcPath.err_src, encoding="utf8") as resp_json:
+                resp_ls = json.load(resp_json)
+            c_tbl_dict = {}
+            for resp in resp_ls:
+                c_tbl_dict.update({resp[KyNm.resp]: f"#{resp[KyNm.rgb]}"})
+            plt.style.use(PltDesign.plot_style)
+            plt.scatter(
+                x=raw_df[ColNm.iden],
+                y=raw_df[ColNm.t_react],
+                s=10,
+                c=raw_df[ColNm.resp].map(c_tbl_dict),
+                cmap="viridis",
+            )
+            plt.xlabel("Identifier")
+            plt.ylabel("Reaction Time (nsec)")
+            plt.savefig(
+                self.get_path(
+                    f"iden_tra_plot_p{self.t_prec}_run{run:02}",
+                    self.jpg_ext,
+                    rm_if_exists=True,
+                )
+            )
+            plt.clf()
+            plt.cla()
+            plt.close()
+        except (KeyError, IndexingError, AttributeError, FileNotFoundError) as exc:
+            self.logger.error(
+                f"plotting identifier and reaction time in run #{run} failed: {g_repr(exc)}"
+            )
+            return False
+        return True
+
+    def hist_tra(self, runs_vec: np.ndarray) -> bool:
+        """
+        create a histogram of reaction time.
+        """
+        for run in runs_vec:
+            self.hist_tra_each_run(run)
+        return True
+
+    def hist_tra_each_run(self, run: int) -> bool:
+        """
+        create a histogram of reaction time for a given run.
+        """
+        self.logger.result(
+            f"creating a histogram for run #{str(run)} from {self.db_path} ..."
+        )
+        try:
+            raw_df = pd.read_csv(self.get_path(f"time_run{run:02}", self.csv_ext))
+            plt.style.use(PltDesign.hist_style)
+            plt.hist(raw_df[ColNm.t_react], bins=500)
+            plt.savefig(
+                self.get_path(
+                    f"tra_hist_p{self.t_prec}_run{run:02}",
+                    self.jpg_ext,
+                    rm_if_exists=True,
+                )
+            )
+            plt.clf()
+            plt.cla()
+            plt.close()
+        except (KeyError, IndexingError, AttributeError, FileNotFoundError) as exc:
+            self.logger.error(
+                f"establishing histogram of identifiers in run #{run} failed: {g_repr(exc)}"
+            )
+            return False
+        return True
+
+    def adj_len(self, t_stamp: str) -> str:
+        """
+        adjust the length of time stamp to the given time precision.
+        """
+        diff = self.t_prec - len(t_stamp)
+        if diff < 0:
+            return t_stamp[:diff]
+        if diff > 0:
+            return t_stamp + ("0" * diff)
+        else:
+            return t_stamp
+
+    def del_p(self, t_stamp: str) -> str:
+        """
+        delete period in string.
+        """
+        return t_stamp.replace(".", "")
diff --git a/src/gallia/analyzer/xl_generator.py b/src/gallia/analyzer/xl_generator.py
new file mode 100644
index 000000000..681bd48af
--- /dev/null
+++ b/src/gallia/analyzer/xl_generator.py
@@ -0,0 +1,557 @@
+# SPDX-FileCopyrightText: AISEC Pentesting Team
+#
+# SPDX-License-Identifier: Apache-2.0
+
+"""
+gallia-analyze EXCEL Generator module
+"""
+
+import json
+from json.decoder import JSONDecodeError
+from typing import Any, Dict, Tuple
+import openpyxl as op
+from openpyxl.utils import get_column_letter
+from openpyxl.styles import PatternFill, Font, Alignment
+from openpyxl.utils.exceptions import (
+    InvalidFileException,
+    SheetTitleException,
+    WorkbookAlreadySaved,
+    ReadOnlyWorkbookException,
+)
+import numpy as np
+import pandas as pd
+from pandas.core.indexing import IndexingError
+from gallia.analyzer.operator import Operator
+from gallia.analyzer.config import SrcPath, XlDesign, FAIL_CLS_CAP
+from gallia.analyzer.failure import Failure
+from gallia.analyzer.mode_config import LogMode, ScanMode
+from gallia.analyzer.name_config import ColNm, ShtNm, CellCnt, KyNm
+from gallia.services.uds.core.utils import g_repr
+
+
+class ExcelGenerator(Operator):
+
+    start_row: int = 1
+    start_col: int = 1
+
+    def __init__(self, path: str = "", log_mode: LogMode = LogMode.STD_OUT):
+        Operator.__init__(self, path, log_mode)
+        self.workbook: op.Workbook = op.Workbook()
+        self.worksheet: Any
+        self.load_color_code(SrcPath.err_src)
+
+    def write_xl(
+        self,
+        entries_vec: np.ndarray,
+        raw_df: pd.DataFrame,
+        scan_mode: ScanMode,
+        ecu_mode: int = -1,
+    ) -> bool:
+        self.load_ven_sess()
+        try:
+            if ecu_mode == -1:
+                sum_sheet_name = "Summary"
+                fail_sheet_suffix = ""
+            else:
+                sum_sheet_name = f"Summary({str(ecu_mode)})"
+                fail_sheet_suffix = f"({str(ecu_mode)})"
+            if ShtNm.init in self.workbook.sheetnames:
+                self.workbook.remove(self.workbook[ShtNm.init])
+            if scan_mode == ScanMode.SERV:
+                if not self.add_sum_sheet_serv(raw_df, entries_vec, sum_sheet_name):
+                    return False
+                if not self.add_failure_sheet(raw_df, ScanMode.SERV, fail_sheet_suffix):
+                    return False
+            if scan_mode == ScanMode.IDEN:
+                if not self.add_sum_sheet_iden(raw_df, entries_vec, sum_sheet_name):
+                    return False
+                if not self.add_failure_sheet(raw_df, ScanMode.IDEN, fail_sheet_suffix):
+                    return False
+            if len(self.workbook.worksheets) == 0:
+                self.workbook.create_sheet(ShtNm.init)
+        except (SheetTitleException, ReadOnlyWorkbookException) as exc:
+            self.logger.error(f"generating EXCEL failed: {g_repr(exc)}")
+            return False
+        return True
+
+    def save_close_xl(self, out_path: str) -> bool:
+        try:
+            self.workbook.save(out_path)
+            self.workbook.close()
+        except (InvalidFileException, WorkbookAlreadySaved) as exc:
+            self.logger.error(f"saving EXCEL failed: {g_repr(exc)}")
+            return False
+        return True
+
+    def add_sum_sheet_serv(
+        self, raw_df: pd.DataFrame, entries_vec: np.ndarray, sheet_name: str = ""
+    ) -> bool:
+        """
+        add summary sheet for scan_service to report EXCEL file.
+        """
+        if sheet_name == "":
+            sheet_name = ShtNm.sum
+        try:
+            self.worksheet = self.workbook.create_sheet(sheet_name)
+            ref_col = ColNm.serv
+            dft_err_df = self.get_dft_err_df_from_raw(raw_df)
+            cur_row, cur_col = self.sum_sheet_fill_origin(ScanMode.SERV)
+            cur_row, cur_col = self.sum_sheet_fill_index(
+                cur_row,
+                cur_col,
+                raw_df[raw_df["service"].isin(entries_vec)],
+                ScanMode.SERV,
+            )
+            cur_row, cur_col = self.sum_sheet_fill_sess(cur_row, cur_col, dft_err_df)
+            cur_row, cur_col = self.sum_sheet_fill_resp(
+                cur_row,
+                cur_col,
+                dft_err_df,
+                raw_df,
+                ref_col,
+                entries_vec,
+                ScanMode.SERV,
+            )
+        except (KeyError, IndexError, AttributeError, SheetTitleException) as exc:
+            self.logger.error(f"adding summary sheet failed: {g_repr(exc)}")
+            return False
+        return True
+
+    def add_sum_sheet_iden(
+        self, raw_df: pd.DataFrame, entries_vec: np.ndarray, sheet_name: str = ""
+    ) -> bool:
+        """
+        add summary sheet for scan_identifier to report EXCEL file.
+        """
+        if sheet_name == "":
+            sheet_name = ShtNm.sum
+        try:
+            self.worksheet = self.workbook.create_sheet(sheet_name)
+            ref_col = ColNm.iden
+            serv = np.unique(raw_df[ColNm.serv])[0]
+            sbfn_vec = np.sort(np.unique(raw_df[ColNm.sbfn]))
+            dft_err_df = self.get_dft_err_df_from_raw(raw_df)
+            cur_row, cur_col = self.sum_sheet_fill_origin(ScanMode.IDEN, serv, sbfn_vec)
+            cur_row, cur_col = self.sum_sheet_fill_index(
+                cur_row,
+                cur_col,
+                raw_df[raw_df["identifier"].isin(entries_vec)],
+                ScanMode.IDEN,
+            )
+            cur_row, cur_col = self.sum_sheet_fill_sess(cur_row, cur_col, dft_err_df)
+            cur_row, cur_col = self.sum_sheet_fill_resp(
+                cur_row,
+                cur_col,
+                dft_err_df,
+                raw_df,
+                ref_col,
+                entries_vec,
+                ScanMode.IDEN,
+            )
+        except (KeyError, AttributeError, SheetTitleException) as exc:
+            self.logger.error(f"adding summary sheet failed: {g_repr(exc)}")
+            return False
+        return True
+
+    def sum_sheet_fill_origin(
+        self,
+        scan_mode: ScanMode,
+        serv: int = 0,
+        sbfn_vec: np.ndarray = np.array([]),
+    ) -> Tuple[int, int]:
+        """
+        fill origin cell in summary sheet.
+        """
+        try:
+            cur_row = self.start_row
+            cur_col = self.start_col
+            if scan_mode == ScanMode.SERV:
+                header = CellCnt.serv
+            if scan_mode == ScanMode.IDEN:
+                header = self.get_code_text(serv, self.iso_serv_code_dict)
+            self.worksheet.cell(cur_row, cur_col).value = header
+            self.worksheet.cell(cur_row, cur_col).font = Font(name=XlDesign.font_index)
+            self.set_cell_width(cur_col, XlDesign.dim_mid_wide)
+            cur_row += 1
+            self.worksheet.cell(cur_row, cur_col).value = CellCnt.default
+            self.worksheet.cell(cur_row, cur_col).font = Font(name=XlDesign.font_index)
+            cur_row += 1
+            if sbfn_vec.size > 1:
+                self.worksheet.cell(
+                    self.start_row, self.start_col + 1
+                ).value = CellCnt.sbfn
+                self.worksheet.freeze_panes = self.worksheet.cell(
+                    self.start_row + 1, self.start_col + 2
+                ).coordinate
+            else:
+                self.worksheet.freeze_panes = self.worksheet.cell(
+                    self.start_row + 1, self.start_col + 1
+                ).coordinate
+        except (KeyError, AttributeError) as exc:
+            self.logger.error(
+                f"filling origin cell of summary sheet failed: {g_repr(exc)}"
+            )
+            return self.start_row, self.start_col
+        return cur_row, cur_col
+
+    def sum_sheet_fill_index(
+        self,
+        cur_row: int,
+        cur_col: int,
+        entries_vec: pd.DataFrame,
+        scan_mode: ScanMode,
+    ) -> Tuple[int, int]:
+        """
+        fill index column in summary sheet.
+        """
+        has_sub_func = False
+        has_id = False
+        if scan_mode == ScanMode.SERV:
+            entries_vec = entries_vec.drop_duplicates(["service"])
+            has_id = True
+        elif scan_mode == ScanMode.IDEN:
+            entries_vec = entries_vec.drop_duplicates(["subfunc", "identifier"])
+            if not entries_vec[entries_vec["subfunc"] != -1].empty:
+                has_sub_func = True
+            if not entries_vec[entries_vec["identifier"] != -1].empty:
+                has_id = True
+        else:
+            raise NotImplementedError(f"ScanMode not supported: {scan_mode}")
+        try:
+            for _, row in entries_vec.iterrows():
+                if scan_mode == ScanMode.SERV:
+                    self.worksheet.cell(cur_row, cur_col).value = self.get_code_text(
+                        row.service, self.iso_serv_code_dict
+                    )
+                    cur_row += 1
+                if scan_mode == ScanMode.IDEN:
+                    if row.identifier == -1:
+                        index_name = CellCnt.no_ent
+                    else:
+                        index_name = f"0x{int(row.identifier):04X}"
+                    self.worksheet.cell(cur_row, self.start_col).value = index_name
+                    if row.subfunc != -1:
+                        # service has subfunction and identifier
+                        self.worksheet.cell(
+                            cur_row, self.start_col + 1
+                        ).value = row.subfunc
+                    cur_row += 1
+
+                self.worksheet.cell(cur_row, cur_col).font = Font(
+                    name=XlDesign.font_index
+                )
+        except (KeyError, AttributeError) as exc:
+            self.logger.error(
+                f"filling index of summary sheet failed: {g_repr(exc)}"
+            )
+            return self.start_row, self.start_col + 1
+
+        cur_col += int(has_id) + int(has_sub_func)
+        cur_row = self.start_row
+        return cur_row, cur_col
+
+    def sum_sheet_fill_sess(
+        self, cur_row: int, cur_col: int, dft_err_df: pd.DataFrame
+    ) -> Tuple[int, int]:
+        """
+        fill top session row in summary sheet.
+        """
+        try:
+            sess_vec = np.array(dft_err_df.columns)
+            sess_num = 0
+            for sess in sess_vec:
+                dft_err = dft_err_df[sess][0]
+                if dft_err == -1:
+                    continue
+                self.worksheet.cell(cur_row, cur_col).value = self.get_code_text(
+                    sess, self.sess_code_dict
+                )
+                self.worksheet.cell(cur_row, cur_col).font = Font(
+                    name=XlDesign.font_index
+                )
+                self.set_cell_width(cur_col, XlDesign.dim_wide)
+                cur_row += 1
+                self.worksheet.cell(cur_row, cur_col).value = self.get_code_text(
+                    dft_err, self.iso_err_code_dict
+                )
+                self.worksheet.cell(cur_row, cur_col).font = Font(
+                    name=XlDesign.font_value
+                )
+                self.fill_cell(cur_row, cur_col, dft_err)
+                cur_row -= 1
+                cur_col += 1
+                sess_num += 1
+            cur_col -= sess_num
+            cur_row = self.start_row + 2
+        except (KeyError, IndexingError, AttributeError) as exc:
+            self.logger.error(
+                f"filling top session row of summary sheet failed: {g_repr(exc)}"
+            )
+            return self.start_row + 1, self.start_col + 1
+        return cur_row, cur_col
+
+    def sum_sheet_fill_resp(
+        self,
+        cur_row: int,
+        cur_col: int,
+        dft_err_df: pd.DataFrame,
+        raw_df: pd.DataFrame,
+        ref_col: str,
+        entries_vec: np.ndarray,
+        scan_mode: ScanMode,
+    ) -> Tuple[int, int]:
+        """
+        fill response field in summary sheet.
+        """
+        try:
+            sess_vec = np.array(dft_err_df.columns)
+            if scan_mode == ScanMode.SERV:
+                sbfn_vec = np.arange(1)
+            if scan_mode == ScanMode.IDEN:
+                sbfn_vec = np.sort(np.unique(raw_df[ColNm.sbfn]))
+            for sess in sess_vec:
+                if dft_err_df[sess][0] == -1:
+                    continue
+                for entry in entries_vec:
+                    for sbfn in sbfn_vec:
+                        if scan_mode == ScanMode.SERV:
+                            cond = (raw_df[ColNm.sess] == sess) & (
+                                raw_df[ref_col] == entry
+                            )
+                        if scan_mode == ScanMode.IDEN:
+                            cond = (
+                                (raw_df[ColNm.sess] == sess)
+                                & (raw_df[ref_col] == entry)
+                                & (raw_df[ColNm.sbfn] == sbfn)
+                            )
+                        err_ser = raw_df.loc[cond, ColNm.resp].mode()
+                        if err_ser.size == 0:
+                            cur_row += 1
+                            print(f'Error on entry: 0x{entry:X} sbfn: 0x{sbfn:X}')
+                            continue
+                        resp = self.get_code_text(
+                            err_ser.iloc[-1], self.iso_err_code_dict
+                        )
+                        if err_ser.size == 1:
+                            if err_ser[0] == 0:
+                                search_id = int(raw_df[cond][ColNm.id].to_numpy()[0])
+                                resp = (
+                                    str(self.get_pos_res(search_id)) + "\n" + str(resp)
+                                )
+                        self.fill_cell(cur_row, cur_col, err_ser.iloc[-1])
+                        self.worksheet.cell(cur_row, cur_col).value = resp
+                        self.worksheet.cell(cur_row, cur_col).font = Font(
+                            name=XlDesign.font_value
+                        )
+                        cur_row += 1
+                cur_col += 1
+                cur_row = self.start_row + 2
+        except (KeyError, IndexingError, AttributeError) as exc:
+            self.logger.error(
+                f"filling response field of summary sheet failed: {g_repr(exc)}"
+            )
+            return self.start_row + 1, self.start_col + 1
+        return cur_row, cur_col
+
+    def add_failure_sheet(
+        self, raw_df: pd.DataFrame, scan_mode: ScanMode, sheet_name_suffix: str = ""
+    ) -> bool:
+        """
+        add failure(undocumented or missing) sheet to report EXCEL file.
+        """
+        if scan_mode == ScanMode.UNKNOWN:
+            self.logger.error("adding failure summary sheets failed: scan mode unknown.")
+            return False
+        try:
+            dft_err_df = self.get_dft_err_df_from_raw(raw_df)
+            sess_vec = np.array(dft_err_df.columns)
+            if scan_mode == ScanMode.SERV:
+                fail_vec = np.array([Failure.UNDOC_SERV, Failure.MISS_SERV])
+                width = XlDesign.dim_wide
+            if scan_mode == ScanMode.IDEN:
+                fail_vec = np.array([Failure.UNDOC_IDEN, Failure.MISS_IDEN])
+                sbfn_vec = np.sort(np.unique(raw_df[ColNm.sbfn]))
+                width = XlDesign.dim_middle
+            cur_row = self.start_row
+            cur_col = self.start_col
+            sess_lu_vec = self.get_sess_lu()
+            for fail in fail_vec:
+                if fail in [Failure.UNDOC_SERV, Failure.UNDOC_IDEN]:
+                    sheet_name = ShtNm.undoc
+                if fail in [Failure.MISS_SERV, Failure.MISS_IDEN]:
+                    sheet_name = ShtNm.miss
+                self.worksheet = self.workbook.create_sheet(
+                    f"{sheet_name}{sheet_name_suffix}"
+                )
+                self.worksheet.freeze_panes = self.worksheet.cell(
+                    self.start_row + 1, self.start_col
+                ).coordinate
+                for sess in sess_vec:
+                    self.set_cell_width(cur_col, width)
+                    self.worksheet.cell(cur_row, cur_col).value = self.get_code_text(
+                        sess, self.sess_code_dict
+                    )
+                    if dft_err_df[sess][0] == -1:
+                        self.worksheet.cell(cur_row, cur_col).value = (
+                            str(self.worksheet.cell(cur_row, cur_col).value)
+                            + "\n"
+                            + CellCnt.sess_unscn
+                        )
+                    if sess_lu_vec.size > 0:
+                        if sess not in sess_lu_vec:
+                            self.worksheet.cell(cur_row, cur_col).value = (
+                                str(self.worksheet.cell(cur_row, cur_col).value)
+                                + "\n"
+                                + CellCnt.sess_undoc
+                            )
+                    self.set_cell_height(cur_row, XlDesign.dim_mid_wide)
+                    self.worksheet.cell(cur_row, cur_col).alignment = Alignment(
+                        horizontal="general", vertical="top"
+                    )
+                    self.worksheet.cell(cur_row, cur_col).font = Font(
+                        name=XlDesign.font_index
+                    )
+                    cur_row += 1
+                    cond = raw_df[ColNm.fail].apply(
+                        lambda x, fl=fail: self.check_fail(x, fl)
+                    ) & (raw_df[ColNm.sess] == sess)
+                    if scan_mode == ScanMode.SERV:
+                        serv_vec = np.sort(np.unique(raw_df.loc[cond, ColNm.serv]))
+                        for serv in serv_vec:
+                            self.worksheet.cell(
+                                cur_row, cur_col
+                            ).value = self.get_code_text(serv, self.iso_serv_code_dict)
+                            self.worksheet.cell(cur_row, cur_col).font = Font(
+                                name=XlDesign.font_value
+                            )
+                            cur_row += 1
+                        cur_col += 1
+                    if scan_mode == ScanMode.IDEN:
+                        if sbfn_vec.size > 1:
+                            raw_df[ColNm.combi] = list(
+                                zip(raw_df[ColNm.iden], raw_df[ColNm.sbfn])
+                            )
+                            iden_sbfn_vec = np.sort(
+                                np.unique(raw_df.loc[cond, ColNm.combi])
+                            )
+                            for iden_sbfn in iden_sbfn_vec:
+                                iden = iden_sbfn[0]
+                                sbfn = iden_sbfn[1]
+                                if iden == -1:
+                                    entry = CellCnt.no_ent
+                                else:
+                                    entry = f"0x{iden:04X} subfunc:{sbfn:02}"
+                                self.worksheet.cell(cur_row, cur_col).value = entry
+                                self.worksheet.cell(cur_row, cur_col).font = Font(
+                                    name=XlDesign.font_value
+                                )
+                                cur_row += 1
+                            cur_col += 1
+                        else:
+                            iden_vec = np.sort(np.unique(raw_df.loc[cond, ColNm.iden]))
+                            for iden in iden_vec:
+                                if iden == -1:
+                                    entry = CellCnt.no_ent
+                                else:
+                                    entry = f"0x{iden:04X}"
+                                self.worksheet.cell(cur_row, cur_col).value = entry
+                                self.worksheet.cell(cur_row, cur_col).font = Font(
+                                    name=XlDesign.font_value
+                                )
+                                cur_row += 1
+                            cur_col += 1
+                    cur_row = self.start_row
+                cur_col = self.start_col
+        except (KeyError, IndexingError, AttributeError, SheetTitleException) as exc:
+            self.logger.error(
+                f"adding failure summary sheets failed: {g_repr(exc)}"
+            )
+            return False
+        return True
+
+    def load_color_code(self, path: str) -> bool:
+        """
+        load color codes from JSON file
+        """
+        try:
+            with open(path, encoding="utf8") as src_json:
+                color_code_ls = json.load(src_json)
+                self.color_code_dict = {
+                    color_code[KyNm.err]: color_code[KyNm.rgb]
+                    for color_code in color_code_ls
+                }
+        except (FileNotFoundError, KeyError, JSONDecodeError) as exc:
+            self.logger.error(f"loading color codes failed: {g_repr(exc)}")
+            return False
+        return True
+
+    def set_cell_width(self, col: int, width: int) -> bool:
+        """
+        set the cell width of given input column in the current EXCEL worksheet.
+        """
+        try:
+            self.worksheet.column_dimensions[get_column_letter(col)].width = width
+        except (KeyError, AttributeError) as exc:
+            self.logger.error(f"setting cell width failed: {g_repr(exc)}")
+            return False
+        return True
+
+    def set_cell_height(self, row: int, height: int) -> bool:
+        """
+        set the cell height of given input row in the current EXCEL worksheet.
+        """
+        try:
+            self.worksheet.row_dimensions[row].height = height
+        except (KeyError, AttributeError) as exc:
+            self.logger.error(f"setting cell height failed: {g_repr(exc)}")
+            return False
+        return True
+
+    def fill_cell(self, row: int, col: int, error: int) -> bool:
+        """
+        fill a cell with color by given input error code.
+        """
+        try:
+            self.worksheet.cell(row, col).fill = PatternFill(
+                start_color=self.get_err_rgb(error),
+                end_color=self.get_err_rgb(error),
+                fill_type="solid",
+            )
+        except (KeyError, AttributeError) as exc:
+            self.logger.error(f"filling cell failed: {g_repr(exc)}")
+            return False
+        return True
+
+    def check_fail(self, fail: int, fail_class: Failure) -> bool:
+        """
+        check if given failure belongs to given faliure class.
+        """
+        return (fail // FAIL_CLS_CAP) == (fail_class // FAIL_CLS_CAP)
+
+    def get_code_text(self, code: int, ref: Dict[int, str]) -> str:
+        """
+        get combined string of hex code and corresponding name
+        with a given code and a given dictionary.
+        """
+        try:
+            txt = ref[code]
+        except KeyError:
+            txt = "Unknown Code"
+        if code in [-1, 0]:
+            code_txt = f"{txt}"
+        else:
+            code_txt = f"0x{int(code):02X} {txt}"
+        return code_txt
+
+    def get_err_rgb(self, error: int) -> str:
+        """
+        get RGB color code string for an error response.
+        """
+        try:
+            return "00" + self.color_code_dict[error]
+        except KeyError:
+            return "00FFFFFF"
+
+    def get_gray_color(self, step: int) -> str:
+        seed = ((step % 8) * 20) + 100
+        return f"00{int(seed):02X}{int(seed):02X}{int(seed):02X}"
diff --git a/src/gallia/cli.py b/src/gallia/cli.py
index 5c38b009f..0935358e2 100644
--- a/src/gallia/cli.py
+++ b/src/gallia/cli.py
@@ -156,6 +156,12 @@ def load_parsers() -> Parsers:
         description="miscellaneous uncategorized helper scripts",
         metavar=command,
     )
+    add_cli_group(
+        parsers,
+        "analyzer",
+        "analyzer",
+        metavar=subgroup,
+    )
 
     return parsers
 
diff --git a/src/gallia/commands/__init__.py b/src/gallia/commands/__init__.py
index 82dc3ad69..41fd04f8e 100644
--- a/src/gallia/commands/__init__.py
+++ b/src/gallia/commands/__init__.py
@@ -24,6 +24,7 @@
 from gallia.commands.scan.uds.sa_dump_seeds import SASeedsDumper
 from gallia.commands.scan.uds.services import ServicesScanner
 from gallia.commands.scan.uds.sessions import SessionsScanner
+from gallia.analyzer.main import AnalyzerMain
 
 registry: list[type[BaseCommand]] = [
     DoIPDiscoverer,
@@ -45,6 +46,7 @@
     SendPDUPrimitive,
     WMBAPrimitive,
     WriteByIdentifierPrimitive,
+    AnalyzerMain
 ]
 
 __all__ = [
@@ -67,6 +69,7 @@
     "DSendPDUPrimitive",
     "DWMBAPrimitive",
     "DWriteByIdentifierPrimitive",
+    "AnalyzerMain",
 ]