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

135 lines
5.4 KiB
Python

#!/usr/bin/env python3
"""Agent for implementing and auditing DMARC, DKIM, and SPF email security."""
import json
import argparse
import re
from datetime import datetime
try:
import dns.resolver
except ImportError:
dns = None
def check_spf_record(domain):
"""Check SPF record for a domain."""
try:
answers = dns.resolver.resolve(domain, "TXT")
for rdata in answers:
txt = rdata.to_text().strip('"')
if txt.startswith("v=spf1"):
issues = []
if "+all" in txt:
issues.append({"issue": "spf_plus_all", "severity": "CRITICAL"})
if "~all" in txt:
issues.append({"issue": "spf_softfail", "severity": "MEDIUM"})
lookups = txt.count("include:") + txt.count("a:") + txt.count("mx")
if lookups > 10:
issues.append({"issue": "spf_too_many_lookups", "count": lookups, "severity": "HIGH"})
return {"domain": domain, "record": txt, "valid": True, "issues": issues}
return {"domain": domain, "record": None, "valid": False,
"issues": [{"issue": "no_spf_record", "severity": "HIGH"}]}
except Exception as e:
return {"domain": domain, "error": str(e)}
def check_dmarc_record(domain):
"""Check DMARC record for a domain."""
try:
answers = dns.resolver.resolve(f"_dmarc.{domain}", "TXT")
for rdata in answers:
txt = rdata.to_text().strip('"')
if txt.startswith("v=DMARC1"):
issues = []
policy_match = re.search(r"p=(\w+)", txt)
policy = policy_match.group(1) if policy_match else "none"
if policy == "none":
issues.append({"issue": "dmarc_policy_none", "severity": "HIGH"})
pct_match = re.search(r"pct=(\d+)", txt)
if pct_match and int(pct_match.group(1)) < 100:
issues.append({"issue": "dmarc_pct_not_100", "severity": "MEDIUM"})
if "rua=" not in txt:
issues.append({"issue": "no_aggregate_reporting", "severity": "MEDIUM"})
return {"domain": domain, "record": txt, "policy": policy, "issues": issues}
return {"domain": domain, "record": None,
"issues": [{"issue": "no_dmarc_record", "severity": "CRITICAL"}]}
except Exception as e:
return {"domain": domain, "error": str(e)}
def check_dkim_record(domain, selector="default"):
"""Check DKIM record for a domain and selector."""
try:
dkim_domain = f"{selector}._domainkey.{domain}"
answers = dns.resolver.resolve(dkim_domain, "TXT")
for rdata in answers:
txt = rdata.to_text().strip('"')
issues = []
if "k=rsa" in txt:
p_match = re.search(r"p=([A-Za-z0-9+/=]+)", txt)
if p_match and len(p_match.group(1)) < 300:
issues.append({"issue": "weak_dkim_key", "severity": "HIGH"})
return {"domain": domain, "selector": selector, "record": txt[:200], "issues": issues}
return {"domain": domain, "selector": selector, "record": None}
except Exception as e:
return {"domain": domain, "selector": selector, "error": str(e)}
def audit_domains(domain_list):
"""Audit multiple domains for email security records."""
results = []
for domain in domain_list:
result = {
"domain": domain,
"spf": check_spf_record(domain),
"dmarc": check_dmarc_record(domain),
"dkim": check_dkim_record(domain),
}
all_issues = (result["spf"].get("issues", []) + result["dmarc"].get("issues", [])
+ result["dkim"].get("issues", []))
critical = sum(1 for i in all_issues if i.get("severity") == "CRITICAL")
result["risk_level"] = "CRITICAL" if critical > 0 else "HIGH" if len(all_issues) > 2 else "MEDIUM"
results.append(result)
return results
def generate_dns_records(domain, policy="reject"):
"""Generate recommended SPF, DMARC, and DKIM DNS records."""
return {
"spf": f'v=spf1 include:_spf.google.com include:spf.protection.outlook.com -all',
"dmarc": f'v=DMARC1; p={policy}; pct=100; rua=mailto:dmarc-reports@{domain}; '
f'ruf=mailto:dmarc-forensics@{domain}; adkim=s; aspf=s',
"dkim_selector": "google._domainkey",
"notes": "DKIM key must be generated by your email provider",
}
def main():
parser = argparse.ArgumentParser(description="DMARC/DKIM/SPF Email Security Agent")
parser.add_argument("--domains", nargs="+", help="Domains to audit")
parser.add_argument("--generate", help="Domain to generate records for")
parser.add_argument("--output", default="email_security_report.json")
args = parser.parse_args()
report = {"generated_at": datetime.utcnow().isoformat(), "findings": {}}
if args.domains:
results = audit_domains(args.domains)
report["findings"]["domain_audit"] = results
for r in results:
print(f"[+] {r['domain']}: {r['risk_level']}")
if args.generate:
records = generate_dns_records(args.generate)
report["findings"]["recommended_records"] = records
print(f"[+] Generated records for {args.generate}")
with open(args.output, "w") as f:
json.dump(report, f, indent=2, default=str)
print(f"[+] Report saved to {args.output}")
if __name__ == "__main__":
main()