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Security280k · #280

security-bounty-hunter

Teaches your AI agent to protect apps against attacks.

What it does

This agent searches for security flaws in computer programs that can be exploited remotely and are worth a bounty. It focuses on issues that can be reported for fixing, rather than problems that only exist locally.

When to use it

  • ✓When looking for exploitable security flaws in a program.
  • ✓When preparing to submit a bug report on platforms like HackerOne.
  • ✓When checking if a flaw found in a program is actually valuable for a reward.

Example of what to ask your AI

“Search for vulnerabilities that can be exploited remotely in a code repository.”

Want more? Open the sections below.

How to use

The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.

Skill link

https://github.com/affaan-m/ECC/blob/main/skills/security-bounty-hunter/SKILL.md

Ready-to-paste message

Use this skill to help me: https://github.com/affaan-m/ECC/blob/main/skills/security-bounty-hunter/SKILL.md Read the SKILL.md file at that link and follow its instructions for my task.
How it works

It analyzes code for paths where a user can control data that reaches sensitive parts of the program. It ignores issues that only happen on your computer or are very common and usually not paid.

Installation

Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.

In the terminal (Claude Code, Codex, Cursor), in your project folder:

npx skills add affaan-m/ECC --skill security-bounty-hunter

Or download just the file:

curl -L https://raw.githubusercontent.com/affaan-m/ECC/main/skills/security-bounty-hunter/SKILL.md -o SKILL.md
Technical content (original SKILL.md)

Original text by the author, straight from GitHub.

Security Bounty Hunter

Use this when the goal is practical vulnerability discovery for responsible disclosure or bounty submission, not a broad best-practices review.

When to Use

  • Scanning a repository for exploitable vulnerabilities
  • Preparing a Huntr, HackerOne, or similar bounty submission
  • Triage where the question is "does this actually pay?" rather than "is this theoretically unsafe?"

How It Works

Bias toward remotely reachable, user-controlled attack paths and throw away patterns that platforms routinely reject as informative or out of scope.

In-Scope Patterns

These are the kinds of issues that consistently matter:

Pattern CWE Typical impact
SSRF through user-controlled URLs CWE-918 internal network access, cloud metadata theft
Auth bypass in middleware or API guards CWE-287 unauthorized account or data access
Remote deserialization or upload-to-RCE paths CWE-502 code execution
SQL injection in reachable endpoints CWE-89 data exfiltration, auth bypass, data destruction
Command injection in request handlers CWE-78 code execution
Path traversal in file-serving paths CWE-22 arbitrary file read or write
Auto-triggered XSS CWE-79 session theft, admin compromise

Skip These

These are usually low-signal or out of bounty scope unless the program says otherwise:

  • Local-only pickle.loads, torch.load, or equivalent with no remote path
  • eval() or exec() in CLI-only tooling
  • shell=True on fully hardcoded commands
  • Missing security headers by themselves
  • Generic rate-limiting complaints without exploit impact
  • Self-XSS requiring the victim to paste code manually
  • CI/CD injection that is not part of the target program scope
  • Demo, example, or test-only code

Workflow

  1. Check scope first: program rules, SECURITY.md, disclosure channel, and exclusions.
  2. Find real entrypoints: HTTP handlers, uploads, background jobs, webhooks, parsers, and integration endpoints.
  3. Run static tooling where it helps, but treat it as triage input only.
  4. Read the real code path end to end.
  5. Prove user control reaches a meaningful sink.
  6. Confirm exploitability and impact with the smallest safe PoC possible.
  7. Check for duplicates before drafting a report.

Example Triage Loop

semgrep --config=auto --severity=ERROR --severity=WARNING --json

Then manually filter:

  • drop tests, demos, fixtures, vendored code
  • drop local-only or non-reachable paths
  • keep only findings with a clear network or user-controlled route

Report Structure

## Description
[What the vulnerability is and why it matters]

## Vulnerable Code
[File path, line range, and a small snippet]

## Proof of Concept
[Minimal working request or script]

## Impact
[What the attacker can achieve]

## Affected Version
[Version, commit, or deployment target tested]

Quality Gate

Before submitting:

  • The code path is reachable from a real user or network boundary
  • The input is genuinely user-controlled
  • The sink is meaningful and exploitable
  • The PoC works
  • The issue is not already covered by an advisory, CVE, or open ticket
  • The target is actually in scope for the bounty program
FAQ

What are 'remotely reachable vulnerabilities'?

These are security flaws that an attacker can exploit without needing direct access to the computer where the program is running, usually over the internet.

What are 'local vulnerabilities'?

These are flaws that can only be exploited if the attacker already has access to the computer where the program is running, as if they were using the computer themselves.

What is a 'bug bounty program'?

It's a program where companies offer money or recognition to people who find and report security flaws in their systems.

Details

Original description by the author

Hunt for exploitable, bounty-worthy security issues in repositories. Focuses on remotely reachable vulnerabilities that qualify for real reports instead of noisy local-only findings. Use when hunting reportable, remotely reachable vulnerabilities in a repository.

repo: affaan-m/ECC

Popularity

GitHub stars
280k
Ranking position
#280
License
MIT
Updated
10/15/2026

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