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

241 lines
9.4 KiB
Python

#!/usr/bin/env python3
"""Memory dump credential extraction agent using volatility3 subprocess and pypykatz."""
import argparse
import hashlib
import json
import logging
import os
import re
import subprocess
from datetime import datetime
from typing import List, Optional
logging.basicConfig(level=logging.INFO, format="%(asctime)s [%(levelname)s] %(message)s")
logger = logging.getLogger(__name__)
CLOUD_KEY_PATTERNS = [
(r"AKIA[A-Z0-9]{16}", "AWS Access Key"),
(r"ASIA[A-Z0-9]{16}", "AWS Temp Key"),
(r"eyJ[A-Za-z0-9_-]+\.eyJ[A-Za-z0-9_-]+", "JWT/Azure Token"),
]
AUTH_STRING_PATTERNS = [
r"(?i)bearer\s+[A-Za-z0-9_\-\.]+",
r"(?i)authorization:\s*\S+",
r"(?i)api[_-]key[=:]\s*\S+",
r"(?i)password[=:]\s*\S+",
]
def verify_dump(dump_path: str) -> dict:
"""Verify memory dump exists and compute hash."""
if not os.path.isfile(dump_path):
logger.error("Memory dump not found: %s", dump_path)
return {"valid": False}
size = os.path.getsize(dump_path)
with open(dump_path, "rb") as f:
sha256 = hashlib.sha256(f.read(1024 * 1024)).hexdigest()
return {"valid": True, "size_bytes": size, "sha256_1mb": sha256}
def run_vol3(dump_path: str, plugin: str, extra_args: Optional[List[str]] = None) -> str:
"""Run a volatility3 plugin and return stdout."""
cmd = ["vol", "-f", dump_path, plugin]
if extra_args:
cmd.extend(extra_args)
try:
result = subprocess.run(cmd, capture_output=True, text=True, timeout=300)
if result.returncode != 0 and result.stderr:
logger.warning("vol3 %s stderr: %s", plugin, result.stderr[:200])
return result.stdout
except FileNotFoundError:
logger.error("volatility3 (vol) not found in PATH")
return ""
except subprocess.TimeoutExpired:
logger.error("vol3 %s timed out", plugin)
return ""
def get_os_info(dump_path: str) -> dict:
"""Identify OS version from memory dump."""
output = run_vol3(dump_path, "windows.info")
info = {}
for line in output.splitlines():
if "\t" in line:
parts = line.split("\t", 1)
if len(parts) == 2:
info[parts[0].strip()] = parts[1].strip()
return info
def find_lsass_pid(dump_path: str) -> Optional[int]:
"""Find LSASS process PID from process list."""
output = run_vol3(dump_path, "windows.pslist")
for line in output.splitlines():
if "lsass.exe" in line.lower():
parts = line.split()
for p in parts:
if p.isdigit():
return int(p)
return None
def extract_hashdump(dump_path: str) -> List[dict]:
"""Extract SAM hashes using windows.hashdump."""
output = run_vol3(dump_path, "windows.hashdump")
results = []
for line in output.splitlines():
parts = line.split()
if len(parts) >= 4 and parts[1].isdigit():
results.append({
"user": parts[0], "rid": int(parts[1]),
"lm_hash": parts[2], "ntlm_hash": parts[3],
})
logger.info("Extracted %d SAM hashes", len(results))
return results
def extract_lsadump(dump_path: str) -> List[dict]:
"""Extract LSA secrets using windows.lsadump."""
output = run_vol3(dump_path, "windows.lsadump")
results = []
for line in output.splitlines():
line = line.strip()
if line and not line.startswith("Offset") and not line.startswith("-"):
results.append({"raw": line})
logger.info("Extracted %d LSA secret entries", len(results))
return results
def extract_cachedump(dump_path: str) -> List[dict]:
"""Extract cached domain credentials using windows.cachedump."""
output = run_vol3(dump_path, "windows.cachedump")
results = []
for line in output.splitlines():
parts = line.split()
if len(parts) >= 3 and parts[0] not in ("User", "---"):
results.append({"user": parts[0], "domain": parts[1], "dcc2_hash": parts[2] if len(parts) > 2 else ""})
logger.info("Extracted %d cached domain credentials", len(results))
return results
def run_pypykatz(dump_path: str, output_dir: str) -> dict:
"""Run pypykatz against LSASS minidump or full memory for credential extraction."""
lsass_dmp = os.path.join(output_dir, "lsass.dmp")
target = lsass_dmp if os.path.isfile(lsass_dmp) else dump_path
mode = "minidump" if target == lsass_dmp else "rekall"
cmd = ["pypykatz", "lsa", mode, target, "--json"]
try:
result = subprocess.run(cmd, capture_output=True, text=True, timeout=600)
if result.stdout:
return json.loads(result.stdout)
except FileNotFoundError:
logger.warning("pypykatz not found; skipping LSASS credential extraction")
except (json.JSONDecodeError, subprocess.TimeoutExpired) as exc:
logger.warning("pypykatz error: %s", exc)
return {}
def parse_pypykatz_creds(pypykatz_data: dict) -> List[dict]:
"""Parse pypykatz JSON output into structured credential list."""
creds = []
for session_key, session in pypykatz_data.get("logon_sessions", {}).items():
username = session.get("username", "")
domain = session.get("domainname", "")
if not username or username == "(null)":
continue
entry = {"user": f"{domain}\\{username}", "sid": session.get("sid", ""),
"logon_server": session.get("logon_server", ""),
"logon_time": session.get("logon_time", ""), "cred_types": []}
for msv in session.get("msv_creds", []):
if msv.get("NThash"):
entry["cred_types"].append({"type": "NTLM", "hash": msv["NThash"]})
for kerb in session.get("kerberos_creds", []):
if kerb.get("password"):
entry["cred_types"].append({"type": "Kerberos_password", "value": kerb["password"]})
for ticket in kerb.get("tickets", []):
entry["cred_types"].append({"type": "Kerberos_ticket",
"server": ticket.get("server", ""), "enc_type": ticket.get("enc_type", "")})
for wd in session.get("wdigest_creds", []):
if wd.get("password"):
entry["cred_types"].append({"type": "WDigest", "value": wd["password"]})
for dpapi in session.get("dpapi_creds", []):
if dpapi.get("masterkey"):
entry["cred_types"].append({"type": "DPAPI_masterkey", "key": dpapi["masterkey"][:40]})
if entry["cred_types"]:
creds.append(entry)
return creds
def search_cloud_keys(dump_path: str) -> List[dict]:
"""Search memory strings for cloud credentials and auth tokens."""
output = run_vol3(dump_path, "windows.strings", ["--pid", "0"])
findings = []
for pattern, label in CLOUD_KEY_PATTERNS:
for match in re.findall(pattern, output):
findings.append({"type": label, "value": match[:30] + "..."})
for pattern in AUTH_STRING_PATTERNS:
for match in re.findall(pattern, output):
findings.append({"type": "auth_string", "value": match[:60]})
logger.info("Found %d cloud/auth credential fragments", len(findings))
return findings[:50]
def generate_report(dump_path: str, output_dir: str) -> dict:
"""Generate full credential extraction report."""
os.makedirs(output_dir, exist_ok=True)
report = {"analysis_date": datetime.utcnow().isoformat(), "source": dump_path}
report["dump_info"] = verify_dump(dump_path)
if not report["dump_info"].get("valid"):
return report
report["os_info"] = get_os_info(dump_path)
report["lsass_pid"] = find_lsass_pid(dump_path)
report["sam_hashes"] = extract_hashdump(dump_path)
report["lsa_secrets"] = extract_lsadump(dump_path)
report["cached_creds"] = extract_cachedump(dump_path)
pypykatz_data = run_pypykatz(dump_path, output_dir)
report["lsass_creds"] = parse_pypykatz_creds(pypykatz_data)
report["cloud_keys"] = search_cloud_keys(dump_path)
summary = {
"sam_hashes": len(report["sam_hashes"]),
"lsa_secrets": len(report["lsa_secrets"]),
"cached_creds": len(report["cached_creds"]),
"lsass_creds": len(report["lsass_creds"]),
"cloud_keys": len(report["cloud_keys"]),
}
report["summary"] = summary
report["actions"] = []
if summary["sam_hashes"] > 0:
report["actions"].append("Reset passwords for all local accounts with extracted NTLM hashes")
if summary["lsass_creds"] > 0:
report["actions"].append("Reset domain account passwords and perform double krbtgt rotation")
if summary["cloud_keys"] > 0:
report["actions"].append("Rotate all discovered cloud access keys and revoke active sessions")
logger.info("Report complete: %s", json.dumps(summary))
return report
def main():
parser = argparse.ArgumentParser(description="Memory Dump Credential Extraction Agent")
parser.add_argument("--dump", required=True, help="Path to memory dump file")
parser.add_argument("--output-dir", default=".", help="Output directory")
parser.add_argument("--output", default="credential_report.json")
args = parser.parse_args()
report = generate_report(args.dump, args.output_dir)
out_path = os.path.join(args.output_dir, args.output)
with open(out_path, "w") as f:
json.dump(report, f, indent=2, default=str)
logger.info("Report saved to %s", out_path)
print(json.dumps(report, indent=2, default=str))
if __name__ == "__main__":
main()