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mukul975
efca3ec611
Mapped every skill to NIST CSF 2.0 subcategory IDs (GV/ID/PR/DE/RS/RC functions) based on subdomain and content analysis. Restores 11 skills corrupted during prior rebase, re-enriching with ATLAS, D3FEND, NIST AI RMF, and CSF 2.0 fields. All 754 skills now carry structured mappings for all 5 security frameworks: - MITRE ATT&CK (in tags) - MITRE ATLAS v5.5 (atlas_techniques) - MITRE D3FEND v1.3 (d3fend_techniques) - NIST AI RMF 1.0 (nist_ai_rmf) - NIST CSF 2.0 (nist_csf)
2.5 KiB
2.5 KiB
name, description, domain, subdomain, tags, version, author, license, d3fend_techniques, nist_csf
| name | description | domain | subdomain | tags | version | author | license | d3fend_techniques | nist_csf | ||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| hunting-for-domain-fronting-c2-traffic | Detect domain fronting C2 traffic by analyzing SNI vs HTTP Host header mismatches in proxy logs and TLS certificate discrepancies using pyOpenSSL for certificate inspection | cybersecurity | threat-hunting |
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1.0 | mahipal | Apache-2.0 |
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Hunting for Domain Fronting C2 Traffic
Overview
Domain fronting (MITRE ATT&CK T1090.004) is a technique where attackers use different domain names in the TLS SNI field and the HTTP Host header to disguise C2 traffic behind legitimate CDN-hosted domains. This skill detects domain fronting by parsing proxy/web gateway logs for SNI-Host header mismatches, analyzing TLS certificates for CDN provider identification, flagging connections where the SNI points to a high-reputation domain but the Host header targets an attacker-controlled domain, and correlating with known CDN provider IP ranges.
When to Use
- When investigating security incidents that require hunting for domain fronting c2 traffic
- When building detection rules or threat hunting queries for this domain
- When SOC analysts need structured procedures for this analysis type
- When validating security monitoring coverage for related attack techniques
Prerequisites
- Web proxy or secure web gateway logs with SNI and Host header fields
- Python 3.8+ with pyOpenSSL and cryptography libraries
- TLS inspection enabled on proxy for Host header visibility
- CDN provider IP range lists (CloudFront, Azure CDN, Cloudflare)
Steps
- Parse proxy logs for connections with both SNI and Host header fields
- Compare SNI domain against HTTP Host header for mismatches
- Extract TLS certificate Subject and SAN fields using pyOpenSSL
- Identify CDN-hosted connections via certificate issuer and IP ranges
- Flag high-confidence domain fronting where SNI and Host differ on CDN IPs
- Score alerts based on domain reputation differential
- Generate detection report with network flow context
Expected Output
JSON report containing detected domain fronting indicators with SNI-Host pairs, certificate details, CDN provider identification, confidence scores, and MITRE ATT&CK technique mapping.