mirror of
https://github.com/SHOGGOTH-SECTOR/sica-fondt.git
synced 2026-08-01 08:30:20 +00:00
24f816b6a3
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
65 lines
2.5 KiB
Markdown
65 lines
2.5 KiB
Markdown
---
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name: hunting-for-domain-fronting-c2-traffic
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description: Detect domain fronting C2 traffic by analyzing SNI vs HTTP Host header mismatches in proxy logs and TLS certificate
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discrepancies using pyOpenSSL for certificate inspection
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domain: cybersecurity
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subdomain: threat-hunting
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tags:
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- domain-fronting
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- c2-detection
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- tls-inspection
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- proxy-logs
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- pyopenssl
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- threat-hunting
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- network-security
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version: '1.0'
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author: mahipal
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license: Apache-2.0
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d3fend_techniques:
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- Application Protocol Command Analysis
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- Network Isolation
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- Network Traffic Analysis
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- Client-server Payload Profiling
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- Network Traffic Community Deviation
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nist_csf:
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- DE.CM-01
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- DE.AE-02
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- DE.AE-07
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- ID.RA-05
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---
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# Hunting for Domain Fronting C2 Traffic
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## Overview
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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.
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## When to Use
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- When investigating security incidents that require hunting for domain fronting c2 traffic
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- When building detection rules or threat hunting queries for this domain
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- When SOC analysts need structured procedures for this analysis type
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- When validating security monitoring coverage for related attack techniques
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## Prerequisites
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- Web proxy or secure web gateway logs with SNI and Host header fields
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- Python 3.8+ with pyOpenSSL and cryptography libraries
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- TLS inspection enabled on proxy for Host header visibility
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- CDN provider IP range lists (CloudFront, Azure CDN, Cloudflare)
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## Steps
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1. Parse proxy logs for connections with both SNI and Host header fields
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2. Compare SNI domain against HTTP Host header for mismatches
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3. Extract TLS certificate Subject and SAN fields using pyOpenSSL
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4. Identify CDN-hosted connections via certificate issuer and IP ranges
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5. Flag high-confidence domain fronting where SNI and Host differ on CDN IPs
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6. Score alerts based on domain reputation differential
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7. Generate detection report with network flow context
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## Expected Output
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JSON report containing detected domain fronting indicators with SNI-Host pairs, certificate details, CDN provider identification, confidence scores, and MITRE ATT&CK technique mapping.
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