hunting-domain-fronting-and-cdn-abuse

hunting-domain-fronting-and-cdn-abuse is a skill for Claude Code, Codex from meltedinhex/analyst-ai-pack. It costs 72 tokens per session (665 once invoked), scanned A, original, Apache-2.0.

A network security hunt for domain fronting, where a connection appears to use a reputable content-delivery network while the hidden HTTP destination is different. It compares the TLS SNI name with the HTTP Host header in network logs.

In plain words
What is it for?
It helps identify mismatched TLS and HTTP domains, long-lived or regularly repeating CDN connections, and other evidence of hidden command-and-control traffic.
Why use it?
Attackers can hide command-and-control traffic behind trusted CDN domains. The comparison highlights mismatches while leaving room for legitimate services that are configured the same way.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit It helps identify mismatched TLS and HTTP domains, long-lived or regularly repeating CDN connections, and other evidence of hidden command-and-control traffic.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/meltedinhex/analyst-ai-pack/hunting-domain-fronting-and-cdn-abuse
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add meltedinhex/analyst-ai-pack --skill hunting-domain-fronting-and-cdn-abuse
Clone the repo
git clone --depth 1 https://github.com/meltedinhex/analyst-ai-pack

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for hunting-domain-fronting-and-cdn-abuse

README.md
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Your own site
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Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

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Your own site · 80×15
<a href="https://agentmods.dev/skills/meltedinhex/analyst-ai-pack/hunting-domain-fronting-and-cdn-abuse"><img src="https://agentmods.dev/badge/skills/meltedinhex/analyst-ai-pack/hunting-domain-fronting-and-cdn-abuse.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 72 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 665 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00072 $0.00665
Opus 5 $0.00036 $0.00332
Sonnet 5 $0.00014 $0.00133
Haiku 4.5 $0.00007 $0.00067

Measured 9d ago against content hash 79f6cf97bf98, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

hunting-domain-fronting-and-cdn-abuse scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/analyst.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/hunting-domain-fronting-and-cdn-abuse/SKILL.md · 85 lines

What it actually says

Hunting Domain Fronting and CDN Abuse

When to Use

  • You have TLS/HTTP telemetry (Zeek ssl.log + http.log, proxy logs) and want to detect domain fronting, where the TLS SNI shows a benign CDN domain but the inner HTTP Host differs.
  • You are hunting C2 hidden behind high-reputation CDNs.

Do not use SNI/Host mismatch as definitive — some legitimate setups differ. Corroborate with destination behavior and reputation.

Prerequisites

  • Telemetry pairing TLS SNI with the inner HTTP Host (or proxy logs exposing both).

Workflow

Step 1: Detect SNI/Host mismatch

python scripts/analyst.py hunt flows.csv

Flags connections where the TLS SNI and HTTP Host headers resolve to different registered domains, especially when the SNI is a known CDN/fronting-capable domain.

Step 2: Surface CDN-hosted anomalies

Highlight high-reputation CDN SNIs carrying long-lived or beaconing flows.

Step 3: Confirm

Corroborate with beacon periodicity, JA3, and destination reputation; many CDN mismatches are benign.

Step 4: Operationalize

Write a detection for SNI/Host registered-domain mismatch on fronting-capable CDNs.

Validation

  • Mismatch is computed on the registered domain, not the full hostname.
  • Known CDN SNIs are recognized to prioritize fronting-capable cases.
  • Findings are presented with corroboration needs, not as proof.

Pitfalls

  • Legitimate multi-tenant CDN/edge configs producing benign mismatches.
  • Encrypted SNI (ECH) hiding the SNI entirely — different hunt required.
  • Treating any CDN traffic as suspicious (high false-positive rate).

References

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 9d ago First seen · 85 lines · 72 tokens per session scan A 79f6cf97bf98

Subscribe to this mod's changes

hunting-domain-fronting-and-cdn-abuse is a skill published in the GitHub repository meltedinhex/analyst-ai-pack (22 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 72 tokens to every session and 665 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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