mukul975/anthropic-cybersecurity-skills

hunting-for-domain-fronting-c2-traffic

Detects domain fronting C2 traffic by analyzing SNI-vs-HTTP-Host-header mismatches in proxy logs and inspecting TLS certificate discrepancies with pyOpenSSL. Use when hunting for command-and-control traffic hidden behind legitimate CDN domains, or when investigating proxy/TLS logs for signs of domain fronting evasion.

First seen Mar 15, 2026

Installation

$ npx skills add mukul975/anthropic-cybersecurity-skills --skill hunting-for-domain-fronting-c2-traffic

Also in this package

Other skills from mukul975/anthropic-cybersecurity-skills · top by installs.

npx skills add mukul975/anthropic-cybersecurity-skills

Browse all from mukul975/anthropic-cybersecurity-skills

More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 32.4K
License LICENSE
Default branch main
Open issues 20
Status Active

Skill metadata

Parsed from SKILL.md frontmatter.

Version1.0
LicenseApache-2.0

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 2,779 B
  • docs SUMMARY.md 365 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 66 installs

SKILL.md

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

  1. Parse proxy logs for connections with both SNI and Host header fields
  2. Compare SNI domain against HTTP Host header for mismatches
  3. Extract TLS certificate Subject and SAN fields using pyOpenSSL
  4. Identify CDN-hosted connections via certificate issuer and IP ranges
  5. Flag high-confidence domain fronting where SNI and Host differ on CDN IPs
  6. Score alerts based on domain reputation differential
  7. 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.