security-bounty-hunter

该 Skill 指导在代码仓库中筛选可远程触达、用户可控且可实际利用的安全漏洞，跳过低信号或赏金范围外的问题，并按范围检查、入口定位、代码路径验证、最小 PoC 和报告结构完成漏洞分诊与提交准备。

affaan-m

热度 0.00

最近更新 2026-10-18 16:20:06

分类：安全依赖：代码执行 / 读写文件应用场景：代码审查 / 研究 / 报告撰写

安装技能

复制下面的话术发给你的 Agent，它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill： npx secure-skills-cli add affaan-m/ecc/security-bounty-hunter

Metadata

name: security-bounty-hunter
description: 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.
metadata: {"version":"1.0.0","origin":"ECC direct-port adaptation"}

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

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