security-bounty-hunter
在代码仓库中寻找可利用且值得赏金的安全问题。重点关注可远程触达、符合真实报告条件的漏洞,而非噪声较大的仅本地发现。适用于在代码仓库中寻找可报告、可远程触达的漏洞。
机器翻译查看英文原文
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.
适用对象:云服务、运维与安全。自动收录 · 待核查。
原作者说明节选
从固定版本的 SKILL.md 提取,保留原文语言。以下内容属于作者说明,本站尚未验证安装、兼容或运行结果。
查看英文原文
原文涵盖的主题
- Security Bounty Hunter
- When to Use
- How It Works
- In-Scope Patterns
- Skip These
- Workflow
- Example Triage Loop
- Report Structure
Use this when the goal is practical vulnerability discovery for responsible disclosure or bounty submission, not a broad best-practices review. 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?" Bias toward remotely reachable, user-controlled attack paths and throw away patterns that platforms routinely reject as informative or out of scope. 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 | The
这里只展示节选,请以完整原文和当前要求为准。
- 来源仓库
- affaan-m/ECC
- 源文件
- skills/security-bounty-hunter/SKILL.md
- 固定版本
- d2ef2680594f9a17526a6e1a2e18b3d242c5d17b
准备条件
- 本条仅收录原作者的技能元数据;请阅读完整说明,确认依赖、许可与使用条件。
第一件可以尝试的小事
先阅读原作者说明,再决定是否在自己的 AI 工具中使用。
对应 AI 工具说明
作者有说明不等于本站实机验证。没有证据时,不自动标为兼容、安全或免费。
来源与内容状态
本条为自动发现的元数据,尚未完成人工文档核查;适用性与运行结果待核查。
原作者:affaan-m/ECC · 原作者仓库元数据。文档核查:未核查。最近来源检查:2026-11-09T16:01:00.520Z。
分类由名称、说明与路径规则生成,分类不代表已核实适配。
许可与权利归属
MIT。第三方内容及版权归原作者,使用条件以原文为准。
许可原文 ↗本站没有因同步、复制或用户自报成功而将资源标为运行验证通过。
限制与注意事项
- 元数据收录不代表本站已经安装、适配、实测或进行安全审查。