hunting-crlf-and-response-splitting

hunting-crlf-and-response-splitting is a skill for Claude Code from UnboundCompute/security-agent-skills. It costs 159 tokens per session (2,146 once invoked), scanned A, original, MIT.

A security review guide for finding carriage-return and line-feed characters in untrusted input that reach HTTP headers, logs, or email headers. These characters mark line endings, so an unchecked value can create extra fields or lines.

In plain words
What is it for?
Use it to trace request data into redirects, cookies, custom headers, log messages, and outgoing email fields, and check whether line endings are rejected or removed.
Why use it?
It prevents attackers from adding headers, splitting responses, forging log entries, or changing email headers by inserting new lines.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the security-agent-skills plugin — 194 skills shipped together

Good fit Use it to trace request data into redirects, cookies, custom headers, log messages, and outgoing email fields, and check whether line endings are rejected or removed.

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Install with agentmods
npx agentmods add skills/unboundcompute/security-agent-skills/hunting-crlf-and-response-splitting
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 UnboundCompute/security-agent-skills --skill hunting-crlf-and-response-splitting
Clone the repo
git clone --depth 1 https://github.com/UnboundCompute/security-agent-skills

Made for: Claude Code.

Or install security-agent-skills, the plugin that ships this one along with the rest of its 194 skills.

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-crlf-and-response-splitting

README.md
[![agentmods](https://agentmods.dev/badge/skills/unboundcompute/security-agent-skills/hunting-crlf-and-response-splitting/github.svg)](https://agentmods.dev/skills/unboundcompute/security-agent-skills/hunting-crlf-and-response-splitting)
Your own site
<a href="https://agentmods.dev/skills/unboundcompute/security-agent-skills/hunting-crlf-and-response-splitting"><img src="https://agentmods.dev/badge/skills/unboundcompute/security-agent-skills/hunting-crlf-and-response-splitting/github.svg" alt="Measured on agentmods" height="20"></a>

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.

agentmods 80×15 button for hunting-crlf-and-response-splitting

Your own site · 80×15
<a href="https://agentmods.dev/skills/unboundcompute/security-agent-skills/hunting-crlf-and-response-splitting"><img src="https://agentmods.dev/badge/skills/unboundcompute/security-agent-skills/hunting-crlf-and-response-splitting.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 159 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,146 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 $0.00159 $0.02146
Opus 5.5 $0.00064 $0.00858
Sonnet 5.5 $0.00032 $0.00429
Haiku 4.5 $0.00016 $0.00215

Measured 1mo ago against content hash 76d4ad59e2b3, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

hunting-crlf-and-response-splitting 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 1mo ago.

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-crlf-and-response-splitting/SKILL.md · 136 lines

How it starts

The opening of the file, as written. The whole thing — 136 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Hunting CRLF and response splitting: when a newline becomes a new header

Headers, log lines, and email headers are all line-oriented: a carriage return and line feed ends one field and begins the next. When untrusted input flows into one of these unescaped, an attacker who supplies a CRLF sequence stops writing a value and starts writing structure. A newline in a redirect location injects a header, or a blank line followed by a body splits the response into a second one the attacker controls. A newline in a log line forges an entry that frames another user or hides an action. A newline in a mail header adds recipients or spoofs fields. The bug is not the input; it is a writer that concatenates untrusted text into a line-structured format without rejecting the line terminators. You find these by locating every header, log, and email write fed request data and checking whether CR and LF survive.

When to use

  • Request input flows into a response header value: a Set-Cookie, a Location redirect, or a custom header.
  • Log lines are written from request data (paths, user agents, identifiers) without neutralizing newlines.
  • Outbound email headers (recipients, subject, from, reply-to) are built from user-supplied input.

Scope check

Test CRLF injection only against systems you own or are authorized to assess, on non-production infrastructure, using benign markers rather than live cache-poisoning or spoofed mail when you confirm. A confirmed split can affect other users through a shared cache, so keep every probe within the authorized scope and prefer an isolated instance. If you can't name the authorization, stop.

The loop

  1. Establish whether the writer rejects CR and LF first. For each header, log, and email sink, determine whether the runtime or framework already forbids carriage returns and line feeds in the value, or whether a hand-built string or a permissive stack passes them through. This is the false-positive killer: most modern header APIs reject bare CR and LF, so an injected newline never reaches the wire, while a manually-assembled header or an older interface may not. Name the writer's behavior before crafting input.

Read the full file on GitHub · 136 lines

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. 1mo ago First seen · 136 lines · 159 tokens per session scan A 76d4ad59e2b3

Subscribe to this mod's changes

hunting-crlf-and-response-splitting is a skill published in the GitHub repository UnboundCompute/security-agent-skills (5 stars, last pushed 1mo ago), licensed MIT. It adds 159 tokens to every session and 2,146 once invoked, about $0.0006 per session on Opus 5.5. 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 2026-09-05.

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