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

222 lines
8.0 KiB
Python

#!/usr/bin/env python3
"""Agent for analyzing Windows Registry hives for forensic artifacts."""
import os
import json
import codecs
import struct
import argparse
from datetime import datetime, timedelta
from regipy.registry import RegistryHive
def extract_autorun_entries(software_hive_path):
"""Extract Run/RunOnce autostart entries from SOFTWARE hive."""
reg = RegistryHive(software_hive_path)
autorun_paths = [
"Microsoft\\Windows\\CurrentVersion\\Run",
"Microsoft\\Windows\\CurrentVersion\\RunOnce",
"Microsoft\\Windows\\CurrentVersion\\RunServices",
"Microsoft\\Windows\\CurrentVersion\\Policies\\Explorer\\Run",
"Wow6432Node\\Microsoft\\Windows\\CurrentVersion\\Run",
]
entries = []
for path in autorun_paths:
try:
key = reg.get_key(path)
for val in key.iter_values():
entries.append({
"path": path,
"name": val.name,
"value": str(val.value),
"last_modified": str(key.header.last_modified),
})
except Exception:
pass
return entries
def extract_user_autorun(ntuser_path):
"""Extract per-user autorun entries from NTUSER.DAT."""
reg = RegistryHive(ntuser_path)
paths = [
"Software\\Microsoft\\Windows\\CurrentVersion\\Run",
"Software\\Microsoft\\Windows\\CurrentVersion\\RunOnce",
]
entries = []
for path in paths:
try:
key = reg.get_key(path)
for val in key.iter_values():
entries.append({
"path": path,
"name": val.name,
"value": str(val.value),
"last_modified": str(key.header.last_modified),
})
except Exception:
pass
return entries
def extract_userassist(ntuser_path):
"""Extract UserAssist program execution history (ROT13 decoded)."""
reg = RegistryHive(ntuser_path)
ua_path = "Software\\Microsoft\\Windows\\CurrentVersion\\Explorer\\UserAssist"
programs = []
try:
ua_key = reg.get_key(ua_path)
except Exception:
return programs
for guid_key in ua_key.iter_subkeys():
try:
count_key = guid_key.get_subkey("Count")
except Exception:
continue
for val in count_key.iter_values():
decoded_name = codecs.decode(val.name, "rot_13")
data = val.value
if isinstance(data, bytes) and len(data) >= 16:
run_count = struct.unpack_from("<I", data, 4)[0]
timestamp = 0
if len(data) >= 68:
timestamp = struct.unpack_from("<Q", data, 60)[0]
last_run = ""
if timestamp > 0:
ts = datetime(1601, 1, 1) + timedelta(microseconds=timestamp // 10)
last_run = ts.strftime("%Y-%m-%d %H:%M:%S")
programs.append({
"program": decoded_name,
"run_count": run_count,
"last_run": last_run,
})
return programs
def extract_recent_docs(ntuser_path):
"""Extract RecentDocs MRU from NTUSER.DAT."""
reg = RegistryHive(ntuser_path)
path = "Software\\Microsoft\\Windows\\CurrentVersion\\Explorer\\RecentDocs"
docs = []
try:
key = reg.get_key(path)
for val in key.iter_values():
if val.name != "MRUListEx" and isinstance(val.value, bytes):
try:
name = val.value.split(b"\x00\x00")[0].decode("utf-16-le", errors="ignore")
docs.append({"index": val.name, "filename": name})
except Exception:
pass
except Exception:
pass
return docs
def extract_system_info(system_hive_path):
"""Extract computer name, timezone, and shutdown time from SYSTEM hive."""
reg = RegistryHive(system_hive_path)
info = {}
select_key = reg.get_key("Select")
current = select_key.get_value("Current")
cs = f"ControlSet{current:03d}"
try:
cn_key = reg.get_key(f"{cs}\\Control\\ComputerName\\ComputerName")
info["computer_name"] = cn_key.get_value("ComputerName")
except Exception:
pass
try:
tz_key = reg.get_key(f"{cs}\\Control\\TimeZoneInformation")
info["timezone"] = tz_key.get_value("TimeZoneKeyName")
except Exception:
pass
return info
def extract_installed_software(software_hive_path):
"""Extract installed software from Uninstall registry key."""
reg = RegistryHive(software_hive_path)
path = "Microsoft\\Windows\\CurrentVersion\\Uninstall"
software = []
try:
key = reg.get_key(path)
for subkey in key.iter_subkeys():
entry = {"key": subkey.name}
for val in subkey.iter_values():
if val.name in ("DisplayName", "DisplayVersion", "Publisher", "InstallDate"):
entry[val.name] = str(val.value)
if "DisplayName" in entry:
software.append(entry)
except Exception:
pass
return software
def flag_suspicious_autorun(entries):
"""Flag autorun entries with suspicious characteristics."""
suspicious = []
suspect_paths = ["\\temp\\", "\\appdata\\", "\\programdata\\", "\\public\\", "powershell", "cmd"]
for entry in entries:
val_lower = entry.get("value", "").lower()
if any(s in val_lower for s in suspect_paths):
entry["suspicious"] = True
entry["reason"] = "Path contains suspicious directory"
suspicious.append(entry)
return suspicious
def main():
parser = argparse.ArgumentParser(description="Windows Registry Forensic Analysis Agent")
parser.add_argument("--system-hive", help="Path to SYSTEM hive")
parser.add_argument("--software-hive", help="Path to SOFTWARE hive")
parser.add_argument("--ntuser", help="Path to NTUSER.DAT hive")
parser.add_argument("--output-dir", default="./registry_analysis")
parser.add_argument("--action", choices=[
"autorun", "userassist", "recent_docs", "system_info",
"installed_software", "full_analysis"
], default="full_analysis")
args = parser.parse_args()
os.makedirs(args.output_dir, exist_ok=True)
report = {"generated_at": datetime.utcnow().isoformat()}
if args.system_hive and args.action in ("system_info", "full_analysis"):
report["system_info"] = extract_system_info(args.system_hive)
print(f"[+] System: {report['system_info']}")
if args.software_hive and args.action in ("autorun", "full_analysis"):
autorun = extract_autorun_entries(args.software_hive)
suspicious = flag_suspicious_autorun(autorun)
report["autorun_software"] = autorun
report["suspicious_autorun"] = suspicious
print(f"[+] Autorun entries (SOFTWARE): {len(autorun)}, suspicious: {len(suspicious)}")
if args.ntuser and args.action in ("autorun", "full_analysis"):
user_autorun = extract_user_autorun(args.ntuser)
report["autorun_user"] = user_autorun
print(f"[+] Autorun entries (NTUSER): {len(user_autorun)}")
if args.ntuser and args.action in ("userassist", "full_analysis"):
ua = extract_userassist(args.ntuser)
report["userassist"] = ua
print(f"[+] UserAssist programs: {len(ua)}")
if args.ntuser and args.action in ("recent_docs", "full_analysis"):
docs = extract_recent_docs(args.ntuser)
report["recent_docs"] = docs
print(f"[+] Recent documents: {len(docs)}")
if args.software_hive and args.action in ("installed_software", "full_analysis"):
sw = extract_installed_software(args.software_hive)
report["installed_software"] = sw
print(f"[+] Installed software: {len(sw)}")
output_path = os.path.join(args.output_dir, "registry_report.json")
with open(output_path, "w") as f:
json.dump(report, f, indent=2, default=str)
print(f"[+] Report saved to {output_path}")
if __name__ == "__main__":
main()