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Building 404fuzz: A Multi-Core Fuzzer That Never Gets Tired

Most people think fuzzers are just “tools that send fast requests.” That’s true. But building a fuzzer that is fast, memory-safe, multi-core, stream-based, and developer-friendly is a completely different challenge. This is the story of…

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Most people think fuzzers are just “tools that send fast requests.”




That’s true.



But building a fuzzer that is fast, memory-safe, multi-core, stream-based, and developer-friendly is a completely different challenge.



This is the story of how 404fuzz was born — not from copying ffuf — but from real hacking pain, real performance problems, and real engineering trade-offs.









🧠 The Problem That Started Everything



As a bug bounty hunter, I faced the same issue again and again:




  • 📂 Huge wordlists (millions of lines)

  • 🐌 Tools eating RAM

  • 💥 Crashes on large scans

  • 🧠 Too many duplicate responses

  • ⚠️ Rate-limit (429) killing scans


  • 🧱 Tools that were either:




    • too dumb

    • or too heavy like a scanner








I didn’t want:




  • Another Burp

  • Another Nuclei

  • Another slow Python fuzzer



I wanted:




✅ A dumb but insanely fast fuzzer, with just enough intelligence to save my time.




That’s how 404fuzz started.









🐜 Philosophy of 404fuzz




“Like an ant, 404fuzz never gets tired.”




404fuzz follows only three core rules:




  1. Speed is non-negotiable

  2. 🧩 Memory safety comes first

  3. 🎯 Hunter decides what’s interesting — not the tool



This means:




  • ❌ No heavy “AI logic”

  • ❌ No scanning rules

  • ❌ No auto-vulnerability detection

  • ✅ Just pure high-performance fuzzing









⚙️ How 404fuzz Actually Works (Internals)






✅ 1. Streaming Wordlist (No Memory Bombs)



Instead of loading the entire wordlist into memory:




export async function* streamWordlist(path, workerId, totalWorkers) {
for await (const line of rl) {
if (index % totalWorkers === workerId) {
yield payload;
}
}
}






This means:




  • You can fuzz with million-line wordlists

  • RAM stays stable

  • Each worker gets its own shard









✅ 2. Concurrency Without Promise.all Memory Leaks



Instead of doing this ❌:




await Promise.all(requests)






404fuzz uses a real queue-based concurrency model:




class FuzzQueue {
constructor(concurrency = 500) {
this.running = 0;
this.queue = [];
}

async add(task) {
if (this.running >= this.concurrency) {
await new Promise(resolve => this.queue.push(resolve));
}
this.running++;
try {
return await task();
} finally {
this.running--;
if (this.queue.length) this.queue.shift()();
}
}
}






This gives:




  • ✅ Stable memory

  • ✅ Controlled throughput

  • ✅ No unhandled promise explosions









✅ 3. Multi-Core Parallelism with Cluster



404fuzz doesn’t fake performance with async only.



It uses:




  • Node.js cluster

  • One worker per CPU core

  • Automatic wordlist sharding

  • Real RPS aggregation



This is why 404fuzz scales like ffuf.









✅ 4. Live Dashboard (Like htop, but for Fuzzing)



Real-time:




  • RPS

  • Progress

  • ETA

  • Error rates

  • Worker stats



No log spam.

No blind fuzzing.









🎯 What 404fuzz Is (And Is Not)



✅ IS:




  • A fast fuzzer

  • A research tool

  • A behavioral explorer

  • A payload testing engine



❌ IS NOT:




  • A vulnerability scanner

  • A Burp replacement

  • A rule-based exploitation engine



404fuzz will always stay a fuzzer first.









🧠 The Real Pain: 70% Duplicate Responses



Every hunter knows this pain:



You fuzz 100,000 payloads…



And you get:




  • Same 404 page again and again

  • Same JSON error template

  • Same WAF response

  • Same backend validation message




📉 70–90% results are noise




Filtering such results manually is painful and slow.









✅ The Next Smart Step (Not “AI Brain”)



I deliberately decided NOT to make 404fuzz a scanner.



Instead, the near-future focus is only on:






🧠 1. Smart Response Deduplication




  • Merge identical backend behaviors

  • Group payloads by same response signature


  • Show:




    • ✅ unique behaviors

    • 📊 how many payloads hit the same logic








This reduces:




  • Noise

  • Output size

  • Mental fatigue









🛑 2. Simple 429 (Rate-Limit) Handling



No AI.

No guessing.



Just:




  • Detect 429

  • Respect Retry-After

  • Delay intelligently

  • Continue scan safely









🧑‍🤝‍🧑 Why I’m Writing This: Open Source Collaboration



404fuzz is fully open source:



👉 https://github.com/toklas495/404fuzz



This project is for:




  • Bug bounty hunters

  • Security engineers

  • Node.js devs

  • Tool builders

  • Performance nerds



You can contribute in many ways:




  • ✅ Core engine improvements

  • ✅ New output modes

  • ✅ Deduplication logic

  • ✅ Rate-limit handling

  • ✅ Dashboard features

  • ✅ Docs & testing

  • ✅ Bug fixes

  • ✅ Performance benchmarks



This is not a “solo ego tool.”

I want this to become a community-powered fuzzer.









🐜 Final Words



404fuzz exists because:




  • We needed speed without stupidity

  • We needed simplicity without weakness


  • We needed a tool that respects:




    • developers

    • hunters

    • and system performance








If you believe:




  • Fuzzing should stay fast

  • Tools should stay hackable

  • Open source should stay collaborative



Then I invite you to build this with me.



⭐ Star

🐛 Report issues

💡 Propose features

🔧 Send PRs



👉 https://github.com/toklas495/404fuzz

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