Claude 24f816b6a3
Consolidate 22 sibling repos into layered organism structure
Place useful parts of the surrounding repos into sica-fondt by layer, per the
body model (Ada = membrane; brain/endocrine/capabilities/knowledge non-Ada):

- brain/        LLM reasoning + providers (dapr, hermes, MoMoA)
- capabilities/ REPRAG sidecars: hermes tools/skills, dapr tools, parallel
                dispatch, A51 channels, and the OSINT cluster
- knowledge/    LORAG corpus: 754 cyber-skills, agency personas, secure-coding,
                MITRE ATT&CK data
- reference/    defensive threat-reference (C3, shhbruh doc) + AdaYaml parser

License handling: AGPL sources (worldosint, advanced_evolution, mercury,
Reticulum) and GPL DeTTECT are SPEC-only clean-room/port descriptions — no
copyleft code copied. MIT/Apache/data parts copied as working trees.

Safety: shhbruh escape/persistence material and C3 covert-C2 kept as reference
only, not wired into the running organism. See CONSOLIDATION.md.

https://claude.ai/code/session_01UehUqEXXJJCsHoA4voCU5c
2026-06-10 06:53:01 +00:00

120 lines
5.0 KiB
Python

#!/usr/bin/env python3
"""
T1003 Credential Dumping Detection Script
Analyzes EDR/Sysmon logs for LSASS access, credential tool execution,
and registry hive exports indicating credential theft.
"""
import json
import csv
import argparse
import datetime
import re
from pathlib import Path
LSASS_SUSPICIOUS_ACCESS = {"0x1fffff", "0x1f3fff", "0x143a", "0x1f0fff", "0x0040", "0x1010", "0x1410"}
LSASS_LEGITIMATE_SOURCES = {
"csrss.exe", "lsass.exe", "svchost.exe", "msmpe ng.exe", "wmiprvse.exe",
"securityhealthservice.exe", "smartscreen.exe", "taskmgr.exe",
}
CREDENTIAL_TOOL_PATTERNS = [
(r"(?i)sekurlsa", "Mimikatz_sekurlsa", "T1003.001", "CRITICAL"),
(r"(?i)lsadump", "Mimikatz_lsadump", "T1003.001", "CRITICAL"),
(r"(?i)procdump.*lsass", "ProcDump_LSASS", "T1003.001", "CRITICAL"),
(r"(?i)comsvcs.*MiniDump", "Comsvcs_MiniDump", "T1003.001", "CRITICAL"),
(r"(?i)ntdsutil.*ifm", "NTDS_IFM_Creation", "T1003.003", "CRITICAL"),
(r"(?i)vssadmin.*create\s+shadow", "VSS_Shadow_Copy", "T1003.003", "HIGH"),
(r"(?i)reg\s+(save|export)\s+hklm\\\\sam", "SAM_Hive_Export", "T1003.002", "CRITICAL"),
(r"(?i)reg\s+(save|export)\s+hklm\\\\security", "SECURITY_Hive_Export", "T1003.004", "CRITICAL"),
(r"(?i)reg\s+(save|export)\s+hklm\\\\system", "SYSTEM_Hive_Export", "T1003.002", "HIGH"),
(r"(?i)esentutl.*ntds", "NTDS_Esentutl", "T1003.003", "CRITICAL"),
(r"(?i)lazagne", "LaZagne", "T1003", "HIGH"),
]
def parse_events(input_path: str) -> list[dict]:
path = Path(input_path)
events = []
if path.suffix == ".json":
with open(path, "r", encoding="utf-8") as f:
data = json.load(f)
events = data if isinstance(data, list) else data.get("events", [])
elif path.suffix == ".csv":
with open(path, "r", encoding="utf-8-sig") as f:
events = [dict(row) for row in csv.DictReader(f)]
return events
def detect_credential_dumping(events: list[dict]) -> list[dict]:
findings = []
for event in events:
event_code = str(event.get("EventCode", event.get("EventID", "")))
computer = event.get("Computer", event.get("host", ""))
timestamp = event.get("UtcTime", event.get("_time", ""))
user = event.get("User", event.get("user", ""))
if event_code == "10":
target = event.get("TargetImage", "")
source = event.get("SourceImage", "")
access = event.get("GrantedAccess", "").lower()
if "lsass.exe" not in target.lower():
continue
source_name = source.split("\\")[-1].lower()
if source_name in LSASS_LEGITIMATE_SOURCES:
continue
if access not in LSASS_SUSPICIOUS_ACCESS:
continue
findings.append({
"timestamp": timestamp, "computer": computer, "user": user,
"detection_type": "LSASS_Access",
"source_process": source, "target": "lsass.exe",
"access_mask": access,
"technique": "T1003.001", "severity": "CRITICAL",
"description": f"{source_name} accessed LSASS with {access}",
})
elif event_code == "1":
cmdline = event.get("CommandLine", "")
image = event.get("Image", "")
for pattern, tool_name, technique, severity in CREDENTIAL_TOOL_PATTERNS:
if re.search(pattern, cmdline):
findings.append({
"timestamp": timestamp, "computer": computer, "user": user,
"detection_type": "Credential_Tool",
"tool": tool_name, "image": image,
"command_line": cmdline,
"technique": technique, "severity": severity,
"description": f"Credential dumping tool detected: {tool_name}",
})
break
return sorted(findings, key=lambda x: {"CRITICAL": 0, "HIGH": 1, "MEDIUM": 2}.get(x["severity"], 3))
def run_hunt(input_path: str, output_dir: str) -> None:
print(f"[*] T1003 Credential Dumping Hunt - {datetime.datetime.now().isoformat()}")
events = parse_events(input_path)
print(f"[*] Loaded {len(events)} events")
findings = detect_credential_dumping(events)
print(f"[!] Credential dumping detections: {len(findings)}")
output_path = Path(output_dir)
output_path.mkdir(parents=True, exist_ok=True)
with open(output_path / "credential_dumping_findings.json", "w", encoding="utf-8") as f:
json.dump({"hunt_id": f"TH-CRED-{datetime.date.today().isoformat()}",
"findings_count": len(findings), "findings": findings}, f, indent=2)
print(f"[+] Results written to {output_dir}")
def main():
parser = argparse.ArgumentParser(description="T1003 Credential Dumping Detection")
parser.add_argument("--input", "-i", required=True)
parser.add_argument("--output", "-o", default="./cred_dump_hunt_output")
args = parser.parse_args()
run_hunt(args.input, args.output)
if __name__ == "__main__":
main()