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

206 lines
7.8 KiB
Python

#!/usr/bin/env python3
"""Agent for building an automated malware submission and analysis pipeline."""
import os
import json
import hashlib
import time
import argparse
from datetime import datetime
from pathlib import Path
import requests
def compute_hashes(filepath):
"""Calculate MD5, SHA1, SHA256 hashes and file size."""
with open(filepath, "rb") as f:
content = f.read()
return {
"md5": hashlib.md5(content).hexdigest(),
"sha1": hashlib.sha1(content).hexdigest(),
"sha256": hashlib.sha256(content).hexdigest(),
"size": len(content),
}
def check_virustotal(sha256, api_key):
"""Check if a file hash is known in VirusTotal."""
resp = requests.get(
f"https://www.virustotal.com/api/v3/files/{sha256}",
headers={"x-apikey": api_key},
timeout=30,
)
if resp.status_code == 200:
attrs = resp.json()["data"]["attributes"]
stats = attrs.get("last_analysis_stats", {})
ptc = attrs.get("popular_threat_classification", {})
return {
"found": True,
"malicious": stats.get("malicious", 0),
"suspicious": stats.get("suspicious", 0),
"total": sum(stats.values()),
"threat_label": ptc.get("suggested_threat_label", "Unknown"),
"type_description": attrs.get("type_description", "Unknown"),
}
return {"found": False}
def check_malwarebazaar(sha256):
"""Check if a hash is known in MalwareBazaar."""
resp = requests.post(
"https://mb-api.abuse.ch/api/v1/",
data={"query": "get_info", "hash": sha256},
timeout=30,
)
if resp.status_code == 200:
data = resp.json()
if data.get("query_status") == "ok" and data.get("data"):
entry = data["data"][0]
return {
"found": True,
"signature": entry.get("signature", "Unknown"),
"tags": entry.get("tags", []),
"file_type": entry.get("file_type", "Unknown"),
"first_seen": entry.get("first_seen", "Unknown"),
}
return {"found": False}
def submit_to_cuckoo(filepath, cuckoo_url, timeout=300):
"""Submit a file to Cuckoo Sandbox for dynamic analysis."""
with open(filepath, "rb") as f:
resp = requests.post(
f"{cuckoo_url}/tasks/create/file",
files={"file": f},
data={"timeout": timeout, "options": "procmemdump=yes", "priority": 2},
)
if resp.status_code == 200:
return resp.json().get("task_id")
return None
def wait_for_cuckoo_report(task_id, cuckoo_url, poll_interval=30, max_wait=600):
"""Poll Cuckoo until analysis is complete, then return the report."""
elapsed = 0
while elapsed < max_wait:
resp = requests.get(f"{cuckoo_url}/tasks/view/{task_id}", timeout=30)
if resp.status_code == 200:
status = resp.json().get("task", {}).get("status")
if status == "reported":
report_resp = requests.get(f"{cuckoo_url}/tasks/report/{task_id}", timeout=30)
return report_resp.json() if report_resp.status_code == 200 else None
if status == "failed_analysis":
return None
time.sleep(poll_interval)
elapsed += poll_interval
return None
def extract_iocs_from_report(report):
"""Extract IOCs from a Cuckoo sandbox report."""
iocs = {"ips": [], "domains": [], "urls": [], "hashes": [], "registry_keys": []}
if not report:
return iocs
network = report.get("network", {})
iocs["domains"] = [d.get("request", "") for d in network.get("dns", [])]
iocs["ips"] = network.get("hosts", [])
iocs["urls"] = [h.get("uri", "") for h in network.get("http", [])]
iocs["hashes"] = [f.get("sha256", "") for f in report.get("dropped", []) if f.get("sha256")]
behavior = report.get("behavior", {}).get("summary", {})
iocs["registry_keys"] = behavior.get("regkey_written", [])[:10]
return iocs
def generate_verdict(vt_result, mb_result, sandbox_report):
"""Generate a verdict combining pre-screening and sandbox results."""
vt_malicious = vt_result.get("malicious", 0) if vt_result.get("found") else 0
sandbox_score = sandbox_report.get("info", {}).get("score", 0) if sandbox_report else 0
sig_count = len(sandbox_report.get("signatures", [])) if sandbox_report else 0
combined = (vt_malicious * 2) + (sandbox_score * 10) + (sig_count * 5)
if combined >= 100:
return "MALICIOUS", "HIGH", combined
elif combined >= 50:
return "SUSPICIOUS", "MEDIUM", combined
elif combined >= 20:
return "POTENTIALLY_UNWANTED", "LOW", combined
return "CLEAN", "HIGH", combined
def push_to_splunk_hec(event_data, splunk_url, splunk_token):
"""Send analysis results to Splunk via HTTP Event Collector."""
payload = {
"sourcetype": "malware_analysis",
"source": "malware_pipeline",
"event": event_data,
}
resp = requests.post(
f"{splunk_url}/services/collector/event",
headers={"Authorization": f"Splunk {splunk_token}"},
json=payload,
verify=not os.environ.get("SKIP_TLS_VERIFY", "").lower() == "true", # Set SKIP_TLS_VERIFY=true for self-signed certs in lab environments
timeout=30,
)
return resp.status_code == 200
def main():
parser = argparse.ArgumentParser(description="Malware Submission Pipeline Agent")
parser.add_argument("--sample", required=True, help="Path to sample file")
parser.add_argument("--vt-key", default=os.getenv("VT_API_KEY"))
parser.add_argument("--cuckoo-url", default=os.getenv("CUCKOO_URL", "http://localhost:8090"))
parser.add_argument("--splunk-url", default=os.getenv("SPLUNK_HEC_URL"))
parser.add_argument("--splunk-token", default=os.getenv("SPLUNK_HEC_TOKEN"))
parser.add_argument("--output", default="malware_report.json")
parser.add_argument("--skip-sandbox", action="store_true")
args = parser.parse_args()
print(f"[+] Analyzing sample: {args.sample}")
hashes = compute_hashes(args.sample)
print(f" SHA256: {hashes['sha256']}")
print("[+] Pre-screening with VirusTotal...")
vt_result = check_virustotal(hashes["sha256"], args.vt_key) if args.vt_key else {"found": False}
if vt_result.get("found"):
print(f" VT: {vt_result['malicious']}/{vt_result['total']} detections")
print("[+] Checking MalwareBazaar...")
mb_result = check_malwarebazaar(hashes["sha256"])
if mb_result.get("found"):
print(f" MB: {mb_result['signature']} ({mb_result['file_type']})")
sandbox_report = None
if not args.skip_sandbox and (not vt_result.get("found") or vt_result.get("malicious", 0) < 5):
print("[+] Submitting to Cuckoo Sandbox...")
task_id = submit_to_cuckoo(args.sample, args.cuckoo_url)
if task_id:
print(f" Task ID: {task_id}, waiting for analysis...")
sandbox_report = wait_for_cuckoo_report(task_id, args.cuckoo_url)
verdict, confidence, score = generate_verdict(vt_result, mb_result, sandbox_report)
iocs = extract_iocs_from_report(sandbox_report)
report = {
"sha256": hashes["sha256"],
"hashes": hashes,
"virustotal": vt_result,
"malwarebazaar": mb_result,
"verdict": verdict,
"confidence": confidence,
"combined_score": score,
"iocs": iocs,
"analyzed_at": datetime.utcnow().isoformat(),
}
with open(args.output, "w") as f:
json.dump(report, f, indent=2, default=str)
print(f"\n[+] VERDICT: {verdict} (confidence: {confidence}, score: {score})")
print(f"[+] Report saved to {args.output}")
if args.splunk_url and args.splunk_token:
if push_to_splunk_hec(report, args.splunk_url, args.splunk_token):
print("[+] Results pushed to Splunk")
if __name__ == "__main__":
main()