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Anthropic-Cybersecurity-Skills/skills/analyzing-phishing-email-headers.bak/scripts/agent.py
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mukul975 c47eed6a64 Production hardening: security fixes, code quality, 724 skills complete
- Fix 25 shell=True subprocess calls with list-based commands
- Fix 49 verify=False in defensive skills (env-var override)
- Add timeout to 231 HTTP/subprocess/socket calls
- Fix 6 SQL injection patterns with whitelist validation
- Replace 8 __import__() with standard imports
- Remove 701 unused imports across 442 files
- Add authorized-testing disclaimers to all offensive skills
- Complete 11 incomplete skill directories
- Expand 10 stub SKILL.md files with full content
- Fix 2 YAML parse errors in frontmatter
- Fix 5 pre-existing syntax errors
- Convert 22 hardcoded paths/ports to environment variables
- Back up 21 redundant skill pairs to .bak
- Fix 2 global declaration errors
- 724/724 skills with full folder anatomy (SKILL.md + agent.py + api-reference.md + LICENSE)
- 0 compile errors across all 724 agent.py files
2026-03-19 13:26:49 +01:00

214 lines
7.2 KiB
Python

#!/usr/bin/env python3
"""Phishing email header analysis agent.
Parses email headers to detect spoofing, authentication failures,
suspicious routing, and phishing indicators.
"""
import os
import sys
import re
import email
import email.utils
def parse_email_file(filepath):
with open(filepath, "r", encoding="utf-8", errors="replace") as f:
return email.message_from_string(f.read())
def extract_received_chain(msg):
chain = []
for header in msg.get_all("Received", []):
entry = {"raw": header.strip()[:300]}
from_match = re.search(r"from\s+([\w.-]+)", header)
by_match = re.search(r"by\s+([\w.-]+)", header)
ip_match = re.search(r"\[(\d+\.\d+\.\d+\.\d+)\]", header)
date_match = re.search(r";\s*(.+)$", header)
if from_match:
entry["from_host"] = from_match.group(1)
if by_match:
entry["by_host"] = by_match.group(1)
if ip_match:
entry["ip"] = ip_match.group(1)
if date_match:
entry["date"] = date_match.group(1).strip()[:60]
chain.append(entry)
return chain
def check_spf(msg):
spf_headers = msg.get_all("Received-SPF", [])
auth_results = msg.get("Authentication-Results", "")
result = {"status": "none", "details": ""}
for h in spf_headers:
h_lower = h.lower()
if "pass" in h_lower:
result = {"status": "pass", "details": h[:200]}
elif "fail" in h_lower or "softfail" in h_lower:
result = {"status": "fail", "details": h[:200]}
elif "neutral" in h_lower:
result = {"status": "neutral", "details": h[:200]}
if "spf=" in auth_results.lower():
spf_match = re.search(r"spf=(\w+)", auth_results, re.IGNORECASE)
if spf_match:
result["auth_result_spf"] = spf_match.group(1)
return result
def check_dkim(msg):
auth_results = msg.get("Authentication-Results", "")
dkim_sig = msg.get("DKIM-Signature", "")
result = {"status": "none", "domain": ""}
if "dkim=" in auth_results.lower():
dkim_match = re.search(r"dkim=(\w+)", auth_results, re.IGNORECASE)
if dkim_match:
result["status"] = dkim_match.group(1)
if dkim_sig:
d_match = re.search(r"d=([\w.-]+)", dkim_sig)
if d_match:
result["domain"] = d_match.group(1)
return result
def check_dmarc(msg):
auth_results = msg.get("Authentication-Results", "")
result = {"status": "none"}
if "dmarc=" in auth_results.lower():
dmarc_match = re.search(r"dmarc=(\w+)", auth_results, re.IGNORECASE)
if dmarc_match:
result["status"] = dmarc_match.group(1)
return result
def extract_urls(msg):
urls = set()
body = ""
if msg.is_multipart():
for part in msg.walk():
ct = part.get_content_type()
if ct in ("text/plain", "text/html"):
payload = part.get_payload(decode=True)
if payload:
body += payload.decode("utf-8", errors="replace")
else:
payload = msg.get_payload(decode=True)
if payload:
body = payload.decode("utf-8", errors="replace")
urls.update(re.findall(r"https?://[^\s<>\"')\]]+", body))
href_urls = re.findall(r'href=["\']([^"\']+)["\']', body)
urls.update(u for u in href_urls if u.startswith("http"))
return sorted(urls)
def detect_display_name_spoofing(msg):
from_header = msg.get("From", "")
reply_to = msg.get("Reply-To", "")
findings = []
name, addr = email.utils.parseaddr(from_header)
if name and addr:
if re.search(r"@", name):
findings.append({
"type": "email_in_display_name",
"detail": f"Display name contains email: {name}",
})
if reply_to:
_, reply_addr = email.utils.parseaddr(reply_to)
if reply_addr and addr and reply_addr.lower() != addr.lower():
findings.append({
"type": "reply_to_mismatch",
"detail": f"From: {addr} vs Reply-To: {reply_addr}",
})
return findings
def detect_phishing_indicators(msg, urls):
indicators = []
subject = msg.get("Subject", "").lower()
urgency = ["urgent", "immediate", "action required", "suspended",
"verify", "expires today", "click here", "limited time"]
for word in urgency:
if word in subject:
indicators.append({
"type": "urgency_subject", "keyword": word, "severity": "MEDIUM",
})
break
for url in urls:
if re.search(r"https?://\d+\.\d+\.\d+\.\d+", url):
indicators.append({
"type": "ip_url", "url": url[:100], "severity": "HIGH",
})
if len(url) > 200:
indicators.append({
"type": "long_url", "url_length": len(url), "severity": "MEDIUM",
})
x_mailer = msg.get("X-Mailer", "")
if x_mailer and any(s in x_mailer.lower() for s in ["phpmailer", "swiftmailer"]):
indicators.append({
"type": "suspicious_mailer", "mailer": x_mailer, "severity": "MEDIUM",
})
return indicators
def generate_report(filepath, msg):
received = extract_received_chain(msg)
spf = check_spf(msg)
dkim = check_dkim(msg)
dmarc = check_dmarc(msg)
urls = extract_urls(msg)
spoofing = detect_display_name_spoofing(msg)
phishing = detect_phishing_indicators(msg, urls)
return {
"file": filepath,
"subject": msg.get("Subject", ""),
"from": msg.get("From", ""),
"to": msg.get("To", ""),
"date": msg.get("Date", ""),
"message_id": msg.get("Message-ID", ""),
"received_hops": len(received),
"received_chain": received,
"authentication": {"spf": spf, "dkim": dkim, "dmarc": dmarc},
"urls_found": len(urls),
"urls": urls[:20],
"spoofing_indicators": spoofing,
"phishing_indicators": phishing,
"verdict": "SUSPICIOUS" if (phishing or spoofing or
spf.get("status") == "fail") else "CLEAN",
}
if __name__ == "__main__":
print("=" * 60)
print("Phishing Email Header Analysis Agent")
print("SPF/DKIM/DMARC, spoofing detection, URL extraction")
print("=" * 60)
target = sys.argv[1] if len(sys.argv) > 1 else None
if not target or not os.path.exists(target):
print("\n[DEMO] Usage: python agent.py <email.eml>")
sys.exit(0)
msg = parse_email_file(target)
report = generate_report(target, msg)
print(f"\n[*] Subject: {report['subject']}")
print(f"[*] From: {report['from']}")
print(f"[*] Date: {report['date']}")
print(f"[*] Received hops: {report['received_hops']}")
auth = report["authentication"]
print(f"\n--- Authentication ---")
print(f" SPF: {auth['spf']['status']}")
print(f" DKIM: {auth['dkim']['status']}")
print(f" DMARC: {auth['dmarc']['status']}")
print(f"\n--- URLs ({report['urls_found']}) ---")
for u in report["urls"][:5]:
print(f" {u[:80]}")
print(f"\n--- Indicators ---")
for i in report["phishing_indicators"] + report["spoofing_indicators"]:
print(f" [{i.get('severity','INFO')}] {i['type']}: {i.get('detail', i.get('keyword', ''))}")
print(f"\n[*] Verdict: {report['verdict']}")