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

218 lines
7.5 KiB
Python

#!/usr/bin/env python3
"""
Phishing Email Investigation Agent
Analyzes reported phishing emails by parsing headers, checking URL/attachment
reputation via VirusTotal and URLScan.io, and identifying impacted recipients.
"""
import email
import email.policy
import hashlib
import json
import re
import sys
import time
from datetime import datetime, timezone
import requests
VT_API_KEY = "" # Set via environment or config
URLSCAN_API_KEY = "" # Set via environment or config
def parse_email_headers(eml_path: str) -> dict:
"""Parse an .eml file and extract investigation-relevant headers."""
with open(eml_path, "rb") as f:
msg = email.message_from_binary_file(f, policy=email.policy.default)
auth_results = msg.get("Authentication-Results", "")
spf_match = re.search(r"spf=(\w+)", auth_results)
dkim_match = re.search(r"dkim=(\w+)", auth_results)
dmarc_match = re.search(r"dmarc=(\w+)", auth_results)
received_chain = []
for hdr in reversed(msg.get_all("Received", [])):
received_chain.append(hdr.strip()[:200])
return {
"from": msg["From"],
"return_path": msg.get("Return-Path", ""),
"reply_to": msg.get("Reply-To", ""),
"subject": msg["Subject"],
"message_id": msg["Message-ID"],
"date": msg["Date"],
"x_originating_ip": msg.get("X-Originating-IP", ""),
"spf": spf_match.group(1) if spf_match else "not found",
"dkim": dkim_match.group(1) if dkim_match else "not found",
"dmarc": dmarc_match.group(1) if dmarc_match else "not found",
"received_chain": received_chain,
}
def extract_urls_from_email(eml_path: str) -> list[str]:
"""Extract all URLs from email body."""
with open(eml_path, "rb") as f:
msg = email.message_from_binary_file(f, policy=email.policy.default)
body = ""
if msg.is_multipart():
for part in msg.walk():
ctype = part.get_content_type()
if ctype in ("text/plain", "text/html"):
payload = part.get_payload(decode=True)
if payload:
body += payload.decode("utf-8", errors="ignore")
else:
payload = msg.get_payload(decode=True)
if payload:
body = payload.decode("utf-8", errors="ignore")
url_pattern = re.compile(r'https?://[^\s<>"\')\]]+')
return list(set(url_pattern.findall(body)))
def check_url_urlscan(url: str, api_key: str) -> dict:
"""Submit URL to URLScan.io for analysis."""
if not api_key:
return {"error": "URLSCAN_API_KEY not set"}
resp = requests.post(
"https://urlscan.io/api/v1/scan/",
headers={"API-Key": api_key, "Content-Type": "application/json"},
json={"url": url, "visibility": "unlisted"},
timeout=30,
)
if resp.status_code == 200:
data = resp.json()
return {"uuid": data.get("uuid", ""), "result_url": data.get("result", "")}
return {"error": f"URLScan returned {resp.status_code}: {resp.text[:200]}"}
def check_url_virustotal(url: str, api_key: str) -> dict:
"""Check URL reputation on VirusTotal."""
if not api_key:
return {"error": "VT_API_KEY not set"}
resp = requests.post(
"https://www.virustotal.com/api/v3/urls",
headers={"x-apikey": api_key},
data={"url": url},
timeout=30,
)
if resp.status_code == 200:
analysis_id = resp.json().get("data", {}).get("id", "")
time.sleep(15)
result = requests.get(
f"https://www.virustotal.com/api/v3/analyses/{analysis_id}",
headers={"x-apikey": api_key},
timeout=30,
)
if result.status_code == 200:
stats = result.json().get("data", {}).get("attributes", {}).get("stats", {})
return {"malicious": stats.get("malicious", 0), "suspicious": stats.get("suspicious", 0),
"harmless": stats.get("harmless", 0), "undetected": stats.get("undetected", 0)}
return {"error": f"VT returned {resp.status_code}"}
def hash_attachment(filepath: str) -> dict:
"""Calculate MD5 and SHA-256 hashes for an attachment."""
with open(filepath, "rb") as f:
content = f.read()
return {
"filename": filepath,
"size_bytes": len(content),
"md5": hashlib.md5(content).hexdigest(),
"sha256": hashlib.sha256(content).hexdigest(),
}
def check_hash_virustotal(file_hash: str, api_key: str) -> dict:
"""Look up file hash on VirusTotal."""
if not api_key:
return {"error": "VT_API_KEY not set"}
resp = requests.get(
f"https://www.virustotal.com/api/v3/files/{file_hash}",
headers={"x-apikey": api_key},
timeout=30,
)
if resp.status_code == 200:
attrs = resp.json().get("data", {}).get("attributes", {})
stats = attrs.get("last_analysis_stats", {})
return {
"detection_name": attrs.get("popular_threat_classification", {}).get("suggested_threat_label", "unknown"),
"malicious": stats.get("malicious", 0),
"total_engines": sum(stats.values()),
}
return {"error": f"Hash not found or VT error: {resp.status_code}"}
def generate_ioc_list(headers: dict, urls: list[str], attachments: list[dict]) -> dict:
"""Compile indicators of compromise from the investigation."""
iocs = {"domains": set(), "ips": set(), "urls": urls, "hashes": []}
for url in urls:
domain_match = re.search(r"https?://([^/]+)", url)
if domain_match:
iocs["domains"].add(domain_match.group(1))
if headers.get("x_originating_ip"):
iocs["ips"].add(headers["x_originating_ip"].strip("[]"))
for att in attachments:
iocs["hashes"].append({"md5": att["md5"], "sha256": att["sha256"]})
iocs["domains"] = sorted(iocs["domains"])
iocs["ips"] = sorted(iocs["ips"])
return iocs
def generate_report(headers: dict, urls: list[str], iocs: dict) -> str:
"""Generate phishing investigation report."""
lines = [
f"PHISHING INCIDENT REPORT",
"=" * 50,
f"Report Generated: {datetime.now(timezone.utc).strftime('%Y-%m-%d %H:%M UTC')}",
"",
f"From: {headers['from']}",
f"Return-Path: {headers['return_path']}",
f"Subject: {headers['subject']}",
f"SPF: {headers['spf']} DKIM: {headers['dkim']} DMARC: {headers['dmarc']}",
"",
f"URLs Found: {len(urls)}",
]
for u in urls[:10]:
lines.append(f" - {u}")
lines.extend(["", f"IOC Domains: {', '.join(iocs['domains'])}",
f"IOC IPs: {', '.join(iocs['ips'])}",
f"IOC Hashes: {len(iocs['hashes'])}"])
return "\n".join(lines)
if __name__ == "__main__":
import os
VT_API_KEY = os.getenv("VT_API_KEY", VT_API_KEY)
URLSCAN_API_KEY = os.getenv("URLSCAN_API_KEY", URLSCAN_API_KEY)
eml_path = sys.argv[1] if len(sys.argv) > 1 else "phishing_sample.eml"
print(f"[*] Analyzing phishing email: {eml_path}")
headers = parse_email_headers(eml_path)
urls = extract_urls_from_email(eml_path)
print(f"[*] Found {len(urls)} URLs in email body")
for url in urls[:5]:
if URLSCAN_API_KEY:
result = check_url_urlscan(url, URLSCAN_API_KEY)
print(f" URLScan: {result}")
iocs = generate_ioc_list(headers, urls, [])
report = generate_report(headers, urls, iocs)
print(report)
output = f"phishing_report_{datetime.now(timezone.utc).strftime('%Y%m%d_%H%M%S')}.json"
with open(output, "w") as f:
json.dump({"headers": headers, "urls": urls, "iocs": iocs}, f, indent=2)
print(f"\n[*] Results saved to {output}")