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

108 lines
2.9 KiB
Python

#!/usr/bin/env python3
"""
WMI Lateral Movement Tracker and Report Generator
Tracks WMI-based lateral movement activities during red team
engagements and generates movement reports.
For authorized red team engagements only.
"""
import json
import sys
import os
from datetime import datetime
def load_movement_log(filepath: str) -> list:
"""Load lateral movement log entries."""
try:
with open(filepath, "r") as f:
return json.load(f)
except (FileNotFoundError, json.JSONDecodeError) as e:
print(f"Error loading log: {e}")
return []
def generate_movement_report(entries: list) -> str:
"""Generate lateral movement tracking report."""
report = [
"=" * 60,
"WMI Lateral Movement Report",
f"Generated: {datetime.now().isoformat()}",
"=" * 60,
"",
f"Total Movements: {len(entries)}",
""
]
hosts_accessed = set()
credentials_used = set()
for i, entry in enumerate(entries, 1):
source = entry.get("source", "N/A")
target = entry.get("target", "N/A")
method = entry.get("method", "wmiexec")
credential = entry.get("credential", "N/A")
timestamp = entry.get("timestamp", "N/A")
result = entry.get("result", "N/A")
hosts_accessed.add(target)
credentials_used.add(credential)
report.append(f" [{i}] {source}{target}")
report.append(f" Method: {method}")
report.append(f" Credential: {credential}")
report.append(f" Time: {timestamp}")
report.append(f" Result: {result}")
report.append("")
report.extend([
f"Unique Hosts Accessed: {len(hosts_accessed)}",
f"Unique Credentials Used: {len(credentials_used)}",
"",
"Hosts:",
])
for host in sorted(hosts_accessed):
report.append(f" - {host}")
report.append("")
report.append("=" * 60)
return "\n".join(report)
def create_example_log():
"""Create an example movement log template."""
example = [
{
"source": "10.10.10.100",
"target": "10.10.10.50",
"method": "wmiexec.py",
"credential": "domain\\admin (PtH)",
"timestamp": "2024-01-15T10:30:00",
"result": "Shell obtained, credentials harvested"
}
]
with open("movement_log.json", "w") as f:
json.dump(example, f, indent=2)
print("Example log created: movement_log.json")
def main():
if len(sys.argv) < 2:
print("Usage: python process.py <movement_log.json>")
print(" python process.py --create-template")
return
if sys.argv[1] == "--create-template":
create_example_log()
return
entries = load_movement_log(sys.argv[1])
if entries:
report = generate_movement_report(entries)
print(report)
if __name__ == "__main__":
main()