# dwisiswant0/crlfuzz

A fast tool to scan CRLF vulnerability written in Go

Repository: https://github.com/dwisiswant0/crlfuzz
Canonical: https://ross.abutalabs.com/products/crlfuzz
Language: Go
License: MIT
License Family: permissive
Topics: crlf-injection, golang, vulnerability-scanning, vulnerability-scanner, go
Last push: 2026-08-16T00:00:59+00:00

## Health v2 (maintenance only)
Score: 66/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 97, release rhythm 8, longevity 100
- inputs: {"age_days": 2212, "days_push": 18, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1560, forks 145 (observed 2026-08-28T04:05:03.739755+00:00)

## What it is
CRLFuzz is a fast command-line tool written in Go that scans websites for CRLF (carriage return/line feed) injection vulnerabilities. It supports single URLs, URL lists, stdin input, custom methods, headers, proxies, and concurrency.

## Use cases
- scan a website for CRLF injection vulnerabilities
- fuzz a list of URLs for CRLF issues
- check if a target is vulnerable to HTTP response splitting
- bulk scan URLs from stdin during recon
- test CRLF injection through a proxy like Burp

## When to choose
- you need a fast, single-purpose CRLF vulnerability scanner
- you want a Go-based CLI that fits into automated recon pipelines
- you need stdin/list-based bulk scanning with concurrency

## When to avoid
- you need a general-purpose web vulnerability scanner covering many vulnerability classes
- you need a GUI-based scanning tool
- you need authenticated, session-aware deep crawling

## Facets
- artifact type: cli-tool
- maturity: active
- function: vulnerability-scanning, http-client, security
- domain: security, penetration-testing, web-development
- platform: windows, cli, cross-platform
- tags: crlf-injection, vulnerability-scanner, go, web-security, fuzzing, command-line, linux, macos

## Member repositories
- dwisiswant0/crlfuzz (main) score 66

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:03.739755+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:29:46.896307+00:00, confidence not recorded.
  - readme: https://github.com/dwisiswant0/crlfuzz (fetched 2026-08-28T04:05:03.739755+00:00, sha 7054f8ac2de8)
- Data as of 2026-08-30T08:39:29.467469+00:00.