Security Bounty Hunter

affaan-m/ECC/skills/security-bounty-hunter

作者 affaan-mef648e01899ba3e8dc6371642deaaf64b4477775無授權條款275K 個星標收錄於 2026年10月9日更新於 2026年10月9日儲存庫4 天前更新

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.

僅含說明Security
AI 產生的概覽

指導在程式碼儲存庫中尋找可遠端觸及、值得提交賞金的漏洞,並撰寫揭露報告。

功能
此技能提供一套在程式碼庫中尋找可利用安全漏洞的工作流程,優先關注可遠端觸及、由使用者控制的路徑。它列出範圍內的漏洞模式及其 CWE 編號與典型影響,以及應跳過的低訊號或超出範圍的模式。它也提供分診迴圈、報告結構與提交前的品質檢查清單。
適用情境
適用於掃描程式碼儲存庫中的可利用漏洞、準備 Huntr、HackerOne 或類似賞金提交,或判斷某個發現是否可能被接受。它著重實際的漏洞發現,而非廣泛的最佳實務審查。
執行需求
不附帶指令碼,僅為說明性指示。它建議使用 semgrep 等靜態分析工具作為分診輸入,並需要存取目標程式碼儲存庫以及賞金計畫的範圍規則。

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:

PatternCWETypical impact
SSRF through user-controlled URLsCWE-918internal network access, cloud metadata theft
Auth bypass in middleware or API guardsCWE-287unauthorized account or data access
Remote deserialization or upload-to-RCE pathsCWE-502code execution
SQL injection in reachable endpointsCWE-89data exfiltration, auth bypass, data destruction
Command injection in request handlersCWE-78code execution
Path traversal in file-serving pathsCWE-22arbitrary file read or write
Auto-triggered XSSCWE-79session 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

bash
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

markdown
## 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

來源與署名

來源:affaan-m/ECC位於skills/security-bounty-hunter提交ef648e0

授權條款: 無授權條款

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