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

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Install Skill

Run in your terminal

$npx skills install mukul975/Anthropic-Cybersecurity-Skills/hunting-for-domain-fronting-c2-traffic

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Installation Guide

How to use hunting-for-domain-fronting-c2-traffic on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your machine
  • Node.js 16+ with npm — verify with node --version
  • Active project directory where you want to add hunting-for-domain-fronting-c2-traffic
2

Run the install command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills install mukul975/Anthropic-Cybersecurity-Skills/hunting-for-domain-fronting-c2-traffic

Fetches hunting-for-domain-fronting-c2-traffic from mukul975/Anthropic-Cybersecurity-Skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI shows a list of agents. Use arrow keys and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ────────────────
│ · Cline · Codex · Goose · Windsurf
│ ●Cursor(selected)
│ · Cursor · Aider · Continue
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/hunting-for-domain-fronting-c2-traffic

Restart Cursor to activate hunting-for-domain-fronting-c2-traffic. Access via /hunting-for-domain-fronting-c2-traffic in your agent's command palette.

Security Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.

Documentation

name
hunting-for-domain-fronting-c2-traffic
description
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
domain
cybersecurity
subdomain
threat-hunting
tags
- domain-fronting - c2-detection - tls-inspection - proxy-logs - pyopenssl - threat-hunting - network-security
version
'1.0'
author
mahipal
license
Apache-2.0
d3fend_techniques
- Application Protocol Command Analysis - Network Isolation - Network Traffic Analysis - Client-server Payload Profiling - Network Traffic Community Deviation
nist_csf
- DE.CM-01 - DE.AE-02 - DE.AE-07 - ID.RA-05

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.

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Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Steps

  1. 1Install skill using provided installation command
  2. 2Test with simple use case relevant to your work
  3. 3Evaluate output quality and relevance
  4. 4Iterate on prompts to improve results
  5. 5Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use when

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid when

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Related Skills

Reviews

4.866 reviews
  • R
    Ren ChoiDec 24, 2024

    hunting-for-domain-fronting-c2-traffic is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • A
    Advait MartinezDec 24, 2024

    Registry listing for hunting-for-domain-fronting-c2-traffic matched our evaluation — installs cleanly and behaves as described in the markdown.

  • T
    Tariq GillDec 8, 2024

    hunting-for-domain-fronting-c2-traffic reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • J
    James RahmanDec 8, 2024

    Keeps context tight: hunting-for-domain-fronting-c2-traffic is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • T
    Tariq RobinsonDec 4, 2024

    We added hunting-for-domain-fronting-c2-traffic from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • H
    Hana NasserNov 27, 2024

    I recommend hunting-for-domain-fronting-c2-traffic for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • R
    Ren AbebeNov 15, 2024

    Solid pick for teams standardizing on skills: hunting-for-domain-fronting-c2-traffic is focused, and the summary matches what you get after install.

  • A
    Advait AndersonNov 15, 2024

    Useful defaults in hunting-for-domain-fronting-c2-traffic — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Z
    Zara HaddadOct 18, 2024

    Useful defaults in hunting-for-domain-fronting-c2-traffic — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • A
    Aditi ZhangOct 6, 2024

    hunting-for-domain-fronting-c2-traffic has been reliable in day-to-day use. Documentation quality is above average for community skills.

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