Update Eigener Parser
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@ -100,10 +100,190 @@ Jedes Result bildet hierbei einen einzelnen Durchlauf eines Tools ab, z.B. "otse
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Weiter haben beide Klassen den `@dataclass` und `@dataclass_json` Decorator. Dieser sorgt dafür, dass das Objekt später leicht serialisiert werden kann und erspart Boiler-Plate Code.
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## Stage 3: Parsen der Daten
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```python
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for run in list_of_all:
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for otseca_path in glob.glob(os.path.join(run.path, "otseca*", "report*")):
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nr = re.findall(r"otseca-(\d+)", otseca_path)[0]
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run.otseca_results.append(Result(otseca_path, nr, otseca_parse(otseca_path)))
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for log_file in os.listdir(run.path):
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path = os.path.join(run.path, log_file)
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nr = re.findall(r"(\d+)", log_file)[0]
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if "lynis-console-" in log_file:
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run.lynis_results.append(Result(path, nr, lynis_parse(path)))
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if "testssl-" in log_file:
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run.testssl_results.append(Result(path, nr, testssl_parse(path)))
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```
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### Stage 3.1: Lynis
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* Was ist wichtig?
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* Nur das Console-Log benutzt
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* Dat und Lynis-Log waren unbrauchbar
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```python
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LYNIS_REGEX = {
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"green": r"\[1;32m", # more advanced "green": r"\[ .*\[1;32m([\w\d ]*).*",
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"yellow": r"\[1;33m",
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"red": r"\[1;31m",
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"white": r"\[1;37m",
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"heading": r".*\[1;33m([\w\d ,:-]*).*"
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}
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```
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```python
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LYNIS_BLOCKS = {
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"Boot and services",
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...
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"Kernel Hardening",
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"Hardening"
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}
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```
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```python
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with open(path_to_log) as handle:
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text = handle.read()
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blocks = text.split("[+]")
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interesting_blocks = {}
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for block in blocks:
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heading = re.findall(LYNIS_REGEX["heading"], block.splitlines()[0])
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if heading and heading[0] in LYNIS_BLOCKS:
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block_text = "".join(block.splitlines()[2:])
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interesting_blocks[heading[0]] = {
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"text": block_text,
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"counts": {
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"green": len(re.findall(LYNIS_REGEX['green'], block_text)),
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"yellow": len(re.findall(LYNIS_REGEX['yellow'], block_text)),
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"red": len(re.findall(LYNIS_REGEX['red'], block_text)),
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"white": len(re.findall(LYNIS_REGEX['white'], block_text)),
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}
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}
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```
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Weiter wurden noch waringCount, bla bla
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Nach dem generellen step wurden dann noch spezielle props aus den obigen blocks extrahiert, dies ginge aber zu weit, genaueres in der datei [lynis.py](https://gitlab.com/marcel.schwarz/it-security-2/-/blob/master/scan_output_parser/lynis.py)
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### Stage 3.2: Testssl
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* Einer der leichtesten Parser
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* Leider zu spät bemerkt, dass es einen JSON export gegeben hätte.
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* TXT datei hat auch funktioniert
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```python
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def testssl_parse(path):
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with open(path) as handle:
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text = handle.read()
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testssl_overall = {
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"443": {"open": False, "ssl": False},
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"21": {"open": False, "ssl": False},
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"465": {"open": False, "ssl": False},
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"587": {"open": False, "ssl": False},
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"110": {"open": False, "ssl": False},
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"995": {"open": False, "ssl": False},
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"993": {"open": False, "ssl": False},
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"5432": {"open": False, "ssl": False},
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"3306": {"open": False, "ssl": False}
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}
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tests = text.split("## Scan started as: ")
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for test in tests:
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port = re.findall("Start .*? -->> 127\.0\.0\.1:(\d*) \(localhost\) <<--", test)
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if not port:
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continue
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port = port[0]
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if "Overall Grade" in test:
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testssl_overall[port]["ssl"] = True
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testssl_overall[port]["open"] = True
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if "firewall" not in test:
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testssl_overall[port]["open"] = True
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continue
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return testssl_overall
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```
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* Gelöst durch initialisierung mit default Werten und dann das setzen auf bestimmte regex
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* Vorher trennung der einzelnen logs der ports durch einen split bei "## Scan startet as: "
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### Stage 3.3: Otseca
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* HTML result einfacher parse
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* Nur nach rot, gelb und grün und gesamt
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```python
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def otseca_box_counts(path_to_report):
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counts = {}
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for (name, curr_file) in OTSECA_FILES.items():
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curr_path = os.path.join(path_to_report, curr_file)
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with open(curr_path, encoding="UTF-8") as handle:
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text = handle.read()
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counts[name] = {
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"green": (len(re.findall("background-color: #1F9D55", text))),
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"yellow": (len(re.findall("background-color: #F2D024", text))),
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"red": (len(re.findall("background-color: #CC1F1A", text))),
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"total": (len(re.findall("background-color:", text)))
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}
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return counts
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```
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* Weitere Distro info, was in lynis gefehlt hat.
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```python
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def otseca_distro_info(path_to_report):
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with open(os.path.join(path_to_report, OTSECA_FILES["distro"])) as handle:
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text = handle.read()
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pkg_count = len(re.findall("ii {2}", text))
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upgrades_count = re.findall(r"(\d+) .*? (\d+) .*? (\d+) .*? (\d+) .*", text).pop()
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return {
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"pkgCount": pkg_count,
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"upgraded": int(upgrades_count[0]),
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"newlyInstalled": int(upgrades_count[1]),
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"remove": int(upgrades_count[2]),
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"notUpgraded": int(upgrades_count[3])
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}
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```
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## Stage 4: Ausgabe
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### Stage 4.1: JSON-Ausgabe
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```python
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with open("export.json", "w") as handle:
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handle.write(Run.schema().dumps(list_of_all, many=True))
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```
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* Problem mit JSON
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### Stage 4.2: SQLite-Ausgabe
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* Warum SQLite?
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```python
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for run in list_of_all:
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write_run_to_db(run)
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```
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```python
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def write_run_to_db(run):
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conn = sqlite3.connect(DB_NAME)
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run_data = (run.id, run.platform, run.system, run.version, run.path)
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conn.execute("INSERT OR IGNORE INTO runs VALUES (?, ?, ?, ?, ?)", run_data)
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... otseca ...
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... testssl ...
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for lynis_res in run.lynis_results:
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categories = list(lynis_res.result.values())[:31]
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general = list(lynis_res.result.values())[31]
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data = (
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run.id, lynis_res.run_nr, str(lynis_res.path),
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*list(map(json.dumps, categories)),
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*general.values()
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)
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print(data)
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conn.execute("INSERT OR IGNORE INTO lynis_results VALUES (" + "".join("?," * 37) + "?)", data)
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conn.commit()
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```
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# Ergebnisse
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* Insgesamt etwa 30 RegEx um zu parsen
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* laufzeit unter 10 Sekunden
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* Extremer Vorteil durch das abfragen mit SQL Syntax
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* Keine Flüchtigkeits- oder Übertragungsfehler durch menschliches verschulden
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