[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6M1BMPWNH777K6EX89ZXMBK":3,"skill-same:01M6M1BMPWNH777K6EX89ZXMBK":440},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":15,"sourceHtmlUrl":16,"categories":17,"keywords":23,"publishedAt":44,"linkOnly":45,"markdownContent":46,"markdownBody":47,"frontMatter":48,"refName":49,"commitSha":50,"skillDirectory":51,"forksCount":13,"repositoryHtmlUrl":52,"repositoryHomepageUrl":6,"ownerHtmlUrl":53,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":54,"install":55,"resources":68},"01M6M1BMPWNH777K6EX89ZXMBK","src-hunter",null,"实战 SRC \u002F 众测 \u002F Bug bounty 漏洞挖掘工作流 skill。包含：5 阶段方法论（intake → recon → enum → hunt → report）、19 个攻击类 playbook（SQLi\u002FXSS\u002FRCE\u002FSSRF\u002FIDOR\u002FCSRF\u002FPath Traversal\u002FFile Upload\u002FSSTI\u002FXXE\u002FRace\u002FHTTP Smuggling\u002FOAuth\u002FJWT\u002FSAML\u002FGraphQL\u002FMobile\u002FLLM\u002FDoS）、305 个结构化 payload、263 个 WAF\u002FEDR 绕过变体、2887 份 HackerOne 真实 High\u002FCritical 已披露案例、77,000+ WooYun 案例统计、国产 OA \u002F 中间件指纹库、银行 \u002F 电信行业垂直 playbook。当用户提到 \"src 挖洞 \u002F src 漏洞挖掘 \u002F bug bounty \u002F 众测 \u002F hackerone \u002F 漏洞赏金 \u002F SRC \u002F 任意 X 漏洞 \u002F 渗透测试\" 或问\"如何挖某个目标 \u002F 怎么测某个 API \u002F 如何绕过 WAF\" 时触发。","endman100\u002Fskill-router-nexus","endman100","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F31997019?v=4","01M6KPDX17BYDWW4RRB0TNGGMX","01M6KPDX64Y2QBEWVFG5W5PWPF",0,"MIT","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FSecurity-and-Compliance\u002Fsrc-hunter\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FSecurity-and-Compliance\u002Fsrc-hunter\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43],"src hunter","hunter","src","xxe","recon","critical","upload","path traversal","hunt","统计","testing","api","csrf","bug bounty","edr","saml","OAuth","file","intake","http","2026-11-10 10:12:30",false,"---\nname: src-hunter\ndescription: 实战 SRC \u002F 众测 \u002F Bug bounty 漏洞挖掘工作流 skill。包含：5 阶段方法论（intake → recon → enum → hunt → report）、19 个攻击类 playbook（SQLi\u002FXSS\u002FRCE\u002FSSRF\u002FIDOR\u002FCSRF\u002FPath Traversal\u002FFile Upload\u002FSSTI\u002FXXE\u002FRace\u002FHTTP Smuggling\u002FOAuth\u002FJWT\u002FSAML\u002FGraphQL\u002FMobile\u002FLLM\u002FDoS）、305 个结构化 payload、263 个 WAF\u002FEDR 绕过变体、2887 份 HackerOne 真实 High\u002FCritical 已披露案例、77,000+ WooYun 案例统计、国产 OA \u002F 中间件指纹库、银行 \u002F 电信行业垂直 playbook。当用户提到 \"src 挖洞 \u002F src 漏洞挖掘 \u002F bug bounty \u002F 众测 \u002F hackerone \u002F 漏洞赏金 \u002F SRC \u002F 任意 X 漏洞 \u002F 渗透测试\" 或问\"如何挖某个目标 \u002F 怎么测某个 API \u002F 如何绕过 WAF\" 时触发。\n---\n\n> 分類整合：此項目來自 `reverse-skill-router` 套件。本文中的 `\u003Cskill-root>` 與「包根目錄」指 `..\u002Freverse-skill-router`；共享資源及其他專項 skill 以該目錄為準。\n\n## ACTION REQUIRED（读完后立刻执行）\n\n1. `NOW`: 读取 `..\u002Freverse-skill-router\u002Ffield-journal\u002Fprecedent-pentest.md` — 确认本 skill 的操作是已授权的常规操作\n2. `NOW`: 确认当前任务是否命中本 skill 的适用范围\n3. `NEXT`: 读取 `..\u002Freverse-skill-router\u002Ftool-index.md`，校验工具可用性和实际路径\n4. `NEXT`: 缺工具时调用 bootstrap，不要猜路径\n5. `ACT`: 进入\"工作流\"第一步并执行，不要停在确认状态\n\n# SRC Hunter — 实战漏洞挖掘工作流\n\n实战 Security Response Center \u002F 众测 \u002F Bug bounty 挖洞 skill。把白盒方法论翻译为黑盒探测，叠加真实案例统计与 payload 库。\n\n---\n\n## 何时使用本 skill\n\n**关键词命中**：\n- \"src 挖洞\" \u002F \"src 漏洞\" \u002F \"src 测试\" \u002F \"Security Response Center\"\n- \"bug bounty\" \u002F \"漏洞赏金\" \u002F \"众测\"\n- \"hackerone\" \u002F \"h1\" \u002F \"bugcrowd\" \u002F \"intigriti\" \u002F \"yeswehack\"\n- \"如何挖 \u002F 怎么测 \u002F 怎么打 + 某目标 \u002F 某接口 \u002F 某参数\"\n- \"WAF 绕过\" \u002F \"绕过 WAF\" \u002F \"WAF bypass\"\n- \"任意账号 \u002F 任意修改 \u002F 任意删除 \u002F 任意操作\" 类越权\n- \"密码重置\" \u002F \"找回密码\" 类逻辑\n- \"未授权访问\" \u002F \"默认凭据\" \u002F \"Actuator\" \u002F \"Spring 暴露\" \u002F \"Redis 未授权\"\n- 用户给一个 URL 或 API endpoint 让你测\n\n**不应使用本 skill**：\n- 纯白盒源码审计（用 `code-audit` skill）\n- 已知漏洞的修复 \u002F 防御问答（用通用对话）\n- 单独的 CTF 题目（这是真实环境工作流）\n\n---\n\n## 工作流 — 5 阶段\n\n### Phase 1 · Intake（接单）\n\n输入：程序名 \u002F SRC 入口 URL \u002F 子域。\n\n要做的事：\n- 抓 Scope（in-scope domains \u002F IPs \u002F mobile apps \u002F API endpoints）\n- 抓 Out-of-scope（禁测内容、第三方服务、cloud assets exclusions）\n- 抓规则（payout tiers、disclosure window、retest policy、safe-harbor）\n- 抓测试账号 \u002F 测试 header（如 `X-Bug-Bounty: \u003Chandle>`）\n\n**优先级判断**（基于命中类型预估命中率，参考 `references\u002Fmethodology\u002F05-srctimebox-priority.md`）：\n- 6 小时窗口 → 跑高命中率类型（密码重置 88% \u002F 任意账号 86.4% \u002F 提现 83.1%）\n- 单日窗口 → 加上信息泄露 + 资产暴露 + Actuator\n- HVV \u002F 重点期 → 全谱\n\n→ 详见 [`references\u002Fmethodology\u002F00-index.md`](references\u002Fmethodology\u002F00-index.md)\n\n### Phase 2 · Recon（被动侦察）\n\n不发包给目标的情报收集：\n\n- **CT 日志**：crt.sh \u002F Censys（找子域）\n- **历史快照**：Wayback \u002F CommonCrawl\n- **GitHub 搜索**：`org:target` + 关键词（password \u002F api_key \u002F SECRET）\n- **搜索引擎 dorks**：`site:target.com inurl:\u002Fadmin`、`filetype:env`、`intitle:Index of`\n- **ASN \u002F IP 段**：bgp.he.net 找 IP 块\n- **Favicon hash**：FOFA \u002F Shodan 找同 favicon 资产\n- **DNS 历史**：SecurityTrails \u002F Whoisxmlapi\n\n### Phase 3 · Enum（主动探测）\n\n**资产枚举**：\n- 子域：amass \u002F subfinder \u002F puredns \u002F dnsx\n- 存活：httpx \u002F naabu\n- 截图：gowitness \u002F aquatone\n- 内容发现：ffuf \u002F feroxbuster \u002F dirsearch\n- 技术指纹：wappalyzer \u002F webanalyze（同时查 `references\u002Fdictionaries\u002Fchinese-srcfingerprints.md` 命中国产组件）\n- JS 提取：linkfinder \u002F subjs \u002F gau \u002F katana\n- 子域接管指纹：subjack \u002F subzy\n\n### Phase 4 · Hunt（漏洞探测）\n\n按攻击类型走对应 playbook，**每个 playbook 都包含**：方法论 + 参数频率表 + 真实 H1 案例 + 结构化 payload + WAF 绕过变体。\n\n**优先级路径**（按命中率 + 价值排序）：\n\n| Playbook | 入口提示 | 文件 |\n|---|---|---|\n| **未授权访问** | Actuator\u002FSwagger\u002F默认端口\u002F弱密码 | `references\u002Fplaybooks\u002Funauth-access.md` |\n| **信息泄露** | .git\u002F.svn\u002F.env\u002Fheapdump\u002F路径列举 | `references\u002Fplaybooks\u002Finfo-disclosure.md` |\n| **任意 X 越权** | 用户态 ID 可遍历\u002F可修改 | `references\u002Fplaybooks\u002Farbitrary-x-authz.md` |\n| **业务逻辑** | 密码重置\u002F支付\u002F订单\u002F验证码 | `references\u002Fplaybooks\u002Flogic-flaws.md` |\n| **OAuth\u002FSAML\u002FJWT** | 认证流\u002Fredirect_uri\u002Ftoken | `references\u002Fplaybooks\u002Foauth-saml-jwt.md` |\n| **API REST** | BOLA\u002FMass Assignment\u002F速率 | `references\u002Fplaybooks\u002Fapi-rest.md` |\n| **SQLi** | 任何用户输入进 DB | `references\u002Fplaybooks\u002Fsqli.md` |\n| **RCE** | 反序列化\u002FSSTI\u002FXXE\u002F原型链\u002F框架 | `references\u002Fplaybooks\u002Frce.md` |\n| **SSRF** | URL 入参\u002F缓存\u002FHost 注入 | `references\u002Fplaybooks\u002Fssrf-cache-host.md` |\n| **路径遍历** | 文件路径入参\u002FLFI\u002FRFI | `references\u002Fplaybooks\u002Fpath-traversal.md` |\n| **文件上传** | 上传点 + 解析漏洞 | `references\u002Fplaybooks\u002Ffile-upload.md` |\n| **XSS** | 任何用户输入进 HTML\u002FJS | `references\u002Fplaybooks\u002Fxss.md` |\n| **HTTP 走私** | 反代 + Content-Length | `references\u002Fplaybooks\u002Fhttp-smuggling.md` |\n| **GraphQL** | introspection\u002F嵌套 | `references\u002Fplaybooks\u002Fgraphql.md` |\n| **竞态** | 并发请求 \u002F TOCTOU | `references\u002Fplaybooks\u002Frace-conditions.md` |\n| **DoS** | ReDoS \u002F 资源不限速 \u002F 算法爆炸 | `references\u002Fplaybooks\u002Fdos.md` |\n| **移动端** | Android \u002F iOS APK | `references\u002Fplaybooks\u002Fmobile.md` |\n| **LLM Agent** | Prompt 注入 \u002F 工具调用 | `references\u002Fplaybooks\u002Fllm-prompt-injection.md` |\n| **内网后渗透** | 凭据 \u002F 横向 \u002F 域 | `references\u002Fplaybooks\u002Fintranet-postexp.md` |\n\n**通用方法论**（不分攻击类型）：\n\n| 文档 | 关键内容 |\n|---|---|\n| [`methodology\u002F01-attack-priority.md`](references\u002Fmethodology\u002F01-attack-priority.md) | RCE>文件写>认证绕过>注入>信息泄露 价值排序 |\n| [`methodology\u002F02-bypass-toolkit.md`](references\u002Fmethodology\u002F02-bypass-toolkit.md) | 通用绕过决策树 + 编码 \u002F 混淆 \u002F WAF |\n| [`methodology\u002F03-evidence-discipline.md`](references\u002Fmethodology\u002F03-evidence-discipline.md) | 黑盒证据规则 + 反幻觉 + 合规 |\n| [`methodology\u002F04-control-gap-hunting.md`](references\u002Fmethodology\u002F04-control-gap-hunting.md) | 9 类敏感操作 → 应有控制 → 探测缺失 |\n| [`methodology\u002F05-srctimebox-priority.md`](references\u002Fmethodology\u002F05-srctimebox-priority.md) | 6h \u002F 单日 \u002F HVV \u002F 月度 时间盒模板 |\n\n**行业垂直 playbook**（资产相关时优先看）：\n\n| 行业 | 文档 | 何时用 |\n|---|---|---|\n| 银行 \u002F 支付 \u002F 金融 | [`industry\u002Fbanking-finance.md`](references\u002Findustry\u002Fbanking-finance.md) | 目标含支付 \u002F 网银 \u002F 第三方支付聚合 |\n| 电信 \u002F ISP | [`industry\u002Ftelecom-isp.md`](references\u002Findustry\u002Ftelecom-isp.md) | 目标是运营商 \u002F BOSS \u002F 网管 \u002F 物联网卡 |\n\n**字典 \u002F 凭据**：\n\n| 文档 | 用途 |\n|---|---|\n| [`dictionaries\u002Fdefault-credentials-cn.md`](references\u002Fdictionaries\u002Fdefault-credentials-cn.md) | 致远 \u002F 通达 \u002F 万户 \u002F 泛微 \u002F 用友 \u002F 金蝶 \u002F 华为 \u002F 中兴 \u002F 海康等国产凭据 |\n| [`dictionaries\u002Fchinese-srcfingerprints.md`](references\u002Fdictionaries\u002Fchinese-srcfingerprints.md) | 国产 OA \u002F 中间件指纹 + 高频参数 + 一键检测命令 |\n\n### Phase 5 · Report（提交）\n\n→ 用模板 [`templates\u002Freport-submission.md`](references\u002Ftemplates\u002Freport-submission.md)\n\n**三段式骨架**：\n1. **标题**：精确到 endpoint + 漏洞类型，不超过 80 字\n2. **重现步骤**：每步可执行 \u002F 截图 \u002F HAR\n3. **影响 + 修复建议**：CVSS 4.0 vector + 业务影响段\n\n---\n\n## MCP 工具集成\n\n本 skill 支持调用本地 MCP 服务器作为工具层。**主选 jshookmcp**(134 工具精选 \u002F 386 全集 \u002F 36 域,内置 Burp Suite bridge \u002F Frida \u002F WASM \u002F 反调试 \u002F Android adb \u002F sourcemap 重构)。完整索引与场景映射:\n\n→ [`references\u002Ftools\u002Fmcp-jshook.md`](references\u002Ftools\u002Fmcp-jshook.md)\n\n默认推荐 `search` profile(上下文成本 ~3K token),通过 `mcp__jshook__search_tools` + `mcp__jshook__activate_tools` 按需激活,避免 `full` profile 一次性加载 40K+ token。\n\n---\n\n## 数据资产规模\n\n| 类别 | 量级 |\n|---|---|\n| 攻击类 playbook | 19 个 |\n| 通用方法论文档 | 6 个 |\n| 行业垂直 playbook | 2 个（银行 \u002F 电信） |\n| 字典 \u002F 凭据 | 3 个 |\n| 报告模板 | 1 个 |\n| 结构化 payload | **305 条**（177 web + 128 内网） |\n| WAF \u002F EDR 绕过变体 | **263 个步骤**，覆盖 23 类 Web 攻击 |\n| 工具命令速查 | 114 条（Nmap\u002FSQLMap\u002FBurp\u002FMSF\u002F...） |\n| HackerOne 真实案例（已披露 High\u002FCritical） | **2887 份**，按 weakness 分到 141 个分类 MD |\n| WooYun 历史案例统计（不可再生） | 88,636 条 |\n\nH1 真实案例已**直接嵌入对应 playbook 末尾**（每个 playbook 末尾有\"H1 真实案例\" Top 12 表 + 摘要）。\n\n---\n\n## 合规与合法红线\n\n每个 playbook 末段都有\"不要做的事\"。通用红线（任何 SRC 都遵守）：\n\n- ❌ 出 scope 的资产 \u002F 域名 → 立即停手并报备\n- ❌ 实际取走他人 PII → 仅证明可访问，立即销毁\n- ❌ 持续负载 \u002F DoS \u002F 大流量 → 仅 1–3 个 PoC 包，立即停止\n- ❌ 修改他人数据（即使有写权限）→ 仅在自己控制的对象上验证\n- ❌ 在生产做钓鱼或社工 → 不做\n- ❌ 提交未复现的猜测 → 必须有 HTTP 包 \u002F 截图 \u002F 视频证据\n- ✅ 测试 header 标记自己（如 `X-Bug-Bounty: \u003Chandle>`）\n- ✅ 用自己的两个账号自演越权场景\n- ✅ 用 OOB 域名做 SSRF 探测，不要用别人的 DNSLog\n- ✅ 提交前用 `references\u002Ftemplates\u002Freport-submission.md` 自查\n\n---\n\n## CLI 助记前缀\n\n`srchunter`（如：`srchunter scope set \u003Cprogram>`、`srchunter recon run`、`srchunter findings new \u003Ctype>`）。当前未实现 CLI，仅作命名约定。\n\n---\n\n## 引用 \u002F 跨链结构\n\n```\nsrc-hunter\u002F\n├── SKILL.md                    # 本文件 — skill 入口\n├── README.md                   # 项目说明\n└── references\u002F\n    ├── methodology\u002F   6 docs   # 通用打法\n    ├── playbooks\u002F    19 docs   # 攻击类 playbook（每个含 H1 案例 + Payload 库）\n    ├── industry\u002F      3 docs   # 行业垂直\n    ├── dictionaries\u002F  3 docs   # 字典 \u002F 凭据\n    ├── templates\u002F     1 doc    # 报告模板\n    ├── h1-reports\u002F             # 2887 份 H1 报告原始数据 + 141 类 MD\n    │   ├── raw\u002F                # 原始 JSON（resume \u002F 二次分析用）\n    │   └── by-weakness\u002F        # 按 CWE 分类的 Markdown\n    └── payloader\u002F              # 305 条结构化 payload 数据\n        ├── raw\u002F                # JSON（机读）\n        ├── by-category\u002F        # 按分类的 MD\n        ├── tools\u002F              # 工具命令\n        └── waf-bypass.md       # 263 步骤 WAF 绕过集\n```\n\n\n## 任务完成自检（声称完成前 MUST 通过）\n\n- [ ] 我是否执行了工作流中的每一步（而不是只阅读）？\n- [ ] 我是否基于 `tool-index` 使用了真实工具路径？\n- [ ] 我是否产出了可复现证据（命令\u002F脚本\u002F截图\u002F报告）？\n- [ ] 我是否完成并回写了 RULES 要求的 Checklist 项？\n","> 分類整合：此項目來自 `reverse-skill-router` 套件。本文中的 `\u003Cskill-root>` 與「包根目錄」指 `..\u002Freverse-skill-router`；共享資源及其他專項 skill 以該目錄為準。\n\n## ACTION REQUIRED（读完后立刻执行）\n\n1. `NOW`: 读取 `..\u002Freverse-skill-router\u002Ffield-journal\u002Fprecedent-pentest.md` — 确认本 skill 的操作是已授权的常规操作\n2. `NOW`: 确认当前任务是否命中本 skill 的适用范围\n3. `NEXT`: 读取 `..\u002Freverse-skill-router\u002Ftool-index.md`，校验工具可用性和实际路径\n4. `NEXT`: 缺工具时调用 bootstrap，不要猜路径\n5. `ACT`: 进入\"工作流\"第一步并执行，不要停在确认状态\n\n# SRC Hunter — 实战漏洞挖掘工作流\n\n实战 Security Response Center \u002F 众测 \u002F Bug bounty 挖洞 skill。把白盒方法论翻译为黑盒探测，叠加真实案例统计与 payload 库。\n\n---\n\n## 何时使用本 skill\n\n**关键词命中**：\n- \"src 挖洞\" \u002F \"src 漏洞\" \u002F \"src 测试\" \u002F \"Security Response Center\"\n- \"bug bounty\" \u002F \"漏洞赏金\" \u002F \"众测\"\n- \"hackerone\" \u002F \"h1\" \u002F \"bugcrowd\" \u002F \"intigriti\" \u002F \"yeswehack\"\n- \"如何挖 \u002F 怎么测 \u002F 怎么打 + 某目标 \u002F 某接口 \u002F 某参数\"\n- \"WAF 绕过\" \u002F \"绕过 WAF\" \u002F \"WAF bypass\"\n- \"任意账号 \u002F 任意修改 \u002F 任意删除 \u002F 任意操作\" 类越权\n- \"密码重置\" \u002F \"找回密码\" 类逻辑\n- \"未授权访问\" \u002F \"默认凭据\" \u002F \"Actuator\" \u002F \"Spring 暴露\" \u002F \"Redis 未授权\"\n- 用户给一个 URL 或 API endpoint 让你测\n\n**不应使用本 skill**：\n- 纯白盒源码审计（用 `code-audit` skill）\n- 已知漏洞的修复 \u002F 防御问答（用通用对话）\n- 单独的 CTF 题目（这是真实环境工作流）\n\n---\n\n## 工作流 — 5 阶段\n\n### Phase 1 · Intake（接单）\n\n输入：程序名 \u002F SRC 入口 URL \u002F 子域。\n\n要做的事：\n- 抓 Scope（in-scope domains \u002F IPs \u002F mobile apps \u002F API endpoints）\n- 抓 Out-of-scope（禁测内容、第三方服务、cloud assets exclusions）\n- 抓规则（payout tiers、disclosure window、retest policy、safe-harbor）\n- 抓测试账号 \u002F 测试 header（如 `X-Bug-Bounty: \u003Chandle>`）\n\n**优先级判断**（基于命中类型预估命中率，参考 `references\u002Fmethodology\u002F05-srctimebox-priority.md`）：\n- 6 小时窗口 → 跑高命中率类型（密码重置 88% \u002F 任意账号 86.4% \u002F 提现 83.1%）\n- 单日窗口 → 加上信息泄露 + 资产暴露 + Actuator\n- HVV \u002F 重点期 → 全谱\n\n→ 详见 [`references\u002Fmethodology\u002F00-index.md`](references\u002Fmethodology\u002F00-index.md)\n\n### Phase 2 · Recon（被动侦察）\n\n不发包给目标的情报收集：\n\n- **CT 日志**：crt.sh \u002F Censys（找子域）\n- **历史快照**：Wayback \u002F CommonCrawl\n- **GitHub 搜索**：`org:target` + 关键词（password \u002F api_key \u002F SECRET）\n- **搜索引擎 dorks**：`site:target.com inurl:\u002Fadmin`、`filetype:env`、`intitle:Index of`\n- **ASN \u002F IP 段**：bgp.he.net 找 IP 块\n- **Favicon hash**：FOFA \u002F Shodan 找同 favicon 资产\n- **DNS 历史**：SecurityTrails \u002F Whoisxmlapi\n\n### Phase 3 · Enum（主动探测）\n\n**资产枚举**：\n- 子域：amass \u002F subfinder \u002F puredns \u002F dnsx\n- 存活：httpx \u002F naabu\n- 截图：gowitness \u002F aquatone\n- 内容发现：ffuf \u002F feroxbuster \u002F dirsearch\n- 技术指纹：wappalyzer \u002F webanalyze（同时查 `references\u002Fdictionaries\u002Fchinese-srcfingerprints.md` 命中国产组件）\n- JS 提取：linkfinder \u002F subjs \u002F gau \u002F katana\n- 子域接管指纹：subjack \u002F subzy\n\n### Phase 4 · Hunt（漏洞探测）\n\n按攻击类型走对应 playbook，**每个 playbook 都包含**：方法论 + 参数频率表 + 真实 H1 案例 + 结构化 payload + WAF 绕过变体。\n\n**优先级路径**（按命中率 + 价值排序）：\n\n| Playbook | 入口提示 | 文件 |\n|---|---|---|\n| **未授权访问** | Actuator\u002FSwagger\u002F默认端口\u002F弱密码 | `references\u002Fplaybooks\u002Funauth-access.md` |\n| **信息泄露** | .git\u002F.svn\u002F.env\u002Fheapdump\u002F路径列举 | `references\u002Fplaybooks\u002Finfo-disclosure.md` |\n| **任意 X 越权** | 用户态 ID 可遍历\u002F可修改 | `references\u002Fplaybooks\u002Farbitrary-x-authz.md` |\n| **业务逻辑** | 密码重置\u002F支付\u002F订单\u002F验证码 | `references\u002Fplaybooks\u002Flogic-flaws.md` |\n| **OAuth\u002FSAML\u002FJWT** | 认证流\u002Fredirect_uri\u002Ftoken | `references\u002Fplaybooks\u002Foauth-saml-jwt.md` |\n| **API REST** | BOLA\u002FMass Assignment\u002F速率 | `references\u002Fplaybooks\u002Fapi-rest.md` |\n| **SQLi** | 任何用户输入进 DB | `references\u002Fplaybooks\u002Fsqli.md` |\n| **RCE** | 反序列化\u002FSSTI\u002FXXE\u002F原型链\u002F框架 | `references\u002Fplaybooks\u002Frce.md` |\n| **SSRF** | URL 入参\u002F缓存\u002FHost 注入 | `references\u002Fplaybooks\u002Fssrf-cache-host.md` |\n| **路径遍历** | 文件路径入参\u002FLFI\u002FRFI | `references\u002Fplaybooks\u002Fpath-traversal.md` |\n| **文件上传** | 上传点 + 解析漏洞 | `references\u002Fplaybooks\u002Ffile-upload.md` |\n| **XSS** | 任何用户输入进 HTML\u002FJS | `references\u002Fplaybooks\u002Fxss.md` |\n| **HTTP 走私** | 反代 + Content-Length | `references\u002Fplaybooks\u002Fhttp-smuggling.md` |\n| **GraphQL** | introspection\u002F嵌套 | `references\u002Fplaybooks\u002Fgraphql.md` |\n| **竞态** | 并发请求 \u002F TOCTOU | `references\u002Fplaybooks\u002Frace-conditions.md` |\n| **DoS** | ReDoS \u002F 资源不限速 \u002F 算法爆炸 | `references\u002Fplaybooks\u002Fdos.md` |\n| **移动端** | Android \u002F iOS APK | `references\u002Fplaybooks\u002Fmobile.md` |\n| **LLM Agent** | Prompt 注入 \u002F 工具调用 | `references\u002Fplaybooks\u002Fllm-prompt-injection.md` |\n| **内网后渗透** | 凭据 \u002F 横向 \u002F 域 | `references\u002Fplaybooks\u002Fintranet-postexp.md` |\n\n**通用方法论**（不分攻击类型）：\n\n| 文档 | 关键内容 |\n|---|---|\n| [`methodology\u002F01-attack-priority.md`](references\u002Fmethodology\u002F01-attack-priority.md) | RCE>文件写>认证绕过>注入>信息泄露 价值排序 |\n| [`methodology\u002F02-bypass-toolkit.md`](references\u002Fmethodology\u002F02-bypass-toolkit.md) | 通用绕过决策树 + 编码 \u002F 混淆 \u002F WAF |\n| [`methodology\u002F03-evidence-discipline.md`](references\u002Fmethodology\u002F03-evidence-discipline.md) | 黑盒证据规则 + 反幻觉 + 合规 |\n| [`methodology\u002F04-control-gap-hunting.md`](references\u002Fmethodology\u002F04-control-gap-hunting.md) | 9 类敏感操作 → 应有控制 → 探测缺失 |\n| [`methodology\u002F05-srctimebox-priority.md`](references\u002Fmethodology\u002F05-srctimebox-priority.md) | 6h \u002F 单日 \u002F HVV \u002F 月度 时间盒模板 |\n\n**行业垂直 playbook**（资产相关时优先看）：\n\n| 行业 | 文档 | 何时用 |\n|---|---|---|\n| 银行 \u002F 支付 \u002F 金融 | [`industry\u002Fbanking-finance.md`](references\u002Findustry\u002Fbanking-finance.md) | 目标含支付 \u002F 网银 \u002F 第三方支付聚合 |\n| 电信 \u002F ISP | [`industry\u002Ftelecom-isp.md`](references\u002Findustry\u002Ftelecom-isp.md) | 目标是运营商 \u002F BOSS \u002F 网管 \u002F 物联网卡 |\n\n**字典 \u002F 凭据**：\n\n| 文档 | 用途 |\n|---|---|\n| [`dictionaries\u002Fdefault-credentials-cn.md`](references\u002Fdictionaries\u002Fdefault-credentials-cn.md) | 致远 \u002F 通达 \u002F 万户 \u002F 泛微 \u002F 用友 \u002F 金蝶 \u002F 华为 \u002F 中兴 \u002F 海康等国产凭据 |\n| [`dictionaries\u002Fchinese-srcfingerprints.md`](references\u002Fdictionaries\u002Fchinese-srcfingerprints.md) | 国产 OA \u002F 中间件指纹 + 高频参数 + 一键检测命令 |\n\n### Phase 5 · Report（提交）\n\n→ 用模板 [`templates\u002Freport-submission.md`](references\u002Ftemplates\u002Freport-submission.md)\n\n**三段式骨架**：\n1. **标题**：精确到 endpoint + 漏洞类型，不超过 80 字\n2. **重现步骤**：每步可执行 \u002F 截图 \u002F HAR\n3. **影响 + 修复建议**：CVSS 4.0 vector + 业务影响段\n\n---\n\n## MCP 工具集成\n\n本 skill 支持调用本地 MCP 服务器作为工具层。**主选 jshookmcp**(134 工具精选 \u002F 386 全集 \u002F 36 域,内置 Burp Suite bridge \u002F Frida \u002F WASM \u002F 反调试 \u002F Android adb \u002F sourcemap 重构)。完整索引与场景映射:\n\n→ [`references\u002Ftools\u002Fmcp-jshook.md`](references\u002Ftools\u002Fmcp-jshook.md)\n\n默认推荐 `search` profile(上下文成本 ~3K token),通过 `mcp__jshook__search_tools` + `mcp__jshook__activate_tools` 按需激活,避免 `full` profile 一次性加载 40K+ token。\n\n---\n\n## 数据资产规模\n\n| 类别 | 量级 |\n|---|---|\n| 攻击类 playbook | 19 个 |\n| 通用方法论文档 | 6 个 |\n| 行业垂直 playbook | 2 个（银行 \u002F 电信） |\n| 字典 \u002F 凭据 | 3 个 |\n| 报告模板 | 1 个 |\n| 结构化 payload | **305 条**（177 web + 128 内网） |\n| WAF \u002F EDR 绕过变体 | **263 个步骤**，覆盖 23 类 Web 攻击 |\n| 工具命令速查 | 114 条（Nmap\u002FSQLMap\u002FBurp\u002FMSF\u002F...） |\n| HackerOne 真实案例（已披露 High\u002FCritical） | **2887 份**，按 weakness 分到 141 个分类 MD |\n| WooYun 历史案例统计（不可再生） | 88,636 条 |\n\nH1 真实案例已**直接嵌入对应 playbook 末尾**（每个 playbook 末尾有\"H1 真实案例\" Top 12 表 + 摘要）。\n\n---\n\n## 合规与合法红线\n\n每个 playbook 末段都有\"不要做的事\"。通用红线（任何 SRC 都遵守）：\n\n- ❌ 出 scope 的资产 \u002F 域名 → 立即停手并报备\n- ❌ 实际取走他人 PII → 仅证明可访问，立即销毁\n- ❌ 持续负载 \u002F DoS \u002F 大流量 → 仅 1–3 个 PoC 包，立即停止\n- ❌ 修改他人数据（即使有写权限）→ 仅在自己控制的对象上验证\n- ❌ 在生产做钓鱼或社工 → 不做\n- ❌ 提交未复现的猜测 → 必须有 HTTP 包 \u002F 截图 \u002F 视频证据\n- ✅ 测试 header 标记自己（如 `X-Bug-Bounty: \u003Chandle>`）\n- ✅ 用自己的两个账号自演越权场景\n- ✅ 用 OOB 域名做 SSRF 探测，不要用别人的 DNSLog\n- ✅ 提交前用 `references\u002Ftemplates\u002Freport-submission.md` 自查\n\n---\n\n## CLI 助记前缀\n\n`srchunter`（如：`srchunter scope set \u003Cprogram>`、`srchunter recon run`、`srchunter findings new \u003Ctype>`）。当前未实现 CLI，仅作命名约定。\n\n---\n\n## 引用 \u002F 跨链结构\n\n```\nsrc-hunter\u002F\n├── SKILL.md                    # 本文件 — skill 入口\n├── README.md                   # 项目说明\n└── references\u002F\n    ├── methodology\u002F   6 docs   # 通用打法\n    ├── playbooks\u002F    19 docs   # 攻击类 playbook（每个含 H1 案例 + Payload 库）\n    ├── industry\u002F      3 docs   # 行业垂直\n    ├── dictionaries\u002F  3 docs   # 字典 \u002F 凭据\n    ├── templates\u002F     1 doc    # 报告模板\n    ├── h1-reports\u002F             # 2887 份 H1 报告原始数据 + 141 类 MD\n    │   ├── raw\u002F                # 原始 JSON（resume \u002F 二次分析用）\n    │   └── by-weakness\u002F        # 按 CWE 分类的 Markdown\n    └── payloader\u002F              # 305 条结构化 payload 数据\n        ├── raw\u002F                # JSON（机读）\n        ├── by-category\u002F        # 按分类的 MD\n        ├── tools\u002F              # 工具命令\n        └── waf-bypass.md       # 263 步骤 WAF 绕过集\n```\n\n\n## 任务完成自检（声称完成前 MUST 通过）\n\n- [ ] 我是否执行了工作流中的每一步（而不是只阅读）？\n- [ ] 我是否基于 `tool-index` 使用了真实工具路径？\n- [ ] 我是否产出了可复现证据（命令\u002F脚本\u002F截图\u002F报告）？\n- [ ] 我是否完成并回写了 RULES 要求的 Checklist 项？\n",{"name":5,"description":7},"main","f19b254e8975d0bfddb394686706106930d7964d","Security-and-Compliance\u002Fsrc-hunter","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus","https:\u002F\u002Fgithub.com\u002Fendman100","2026-11-11 18:19:10",{"source":8,"skillName":5,"commands":56,"prompt":66,"zipAvailable":67},[57,60,63],{"tool":58,"command":59},"npx","npx skills add endman100\u002Fskill-router-nexus --skill src-hunter",{"tool":61,"command":62},"bunx","bunx skills add endman100\u002Fskill-router-nexus --skill src-hunter",{"tool":64,"command":65},"pnpm","pnpm dlx skills add endman100\u002Fskill-router-nexus --skill 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Use when drafting, editing, or reviewing text to eliminate predictable AI tells.","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FWriting-and-Content\u002Fstop-slop\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FWriting-and-Content\u002Fstop-slop\u002FSKILL.md",[506,507],{"categoryNo":473,"categoryName":474,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":477,"categoryName":478,"taxonomyType":451,"taxonomyTypeDesc":452},[509,510,511,512,513,514,515,516,517,490,518,519,520,496,521,482],"slop","stop slop","stop","drafting","when","drafts","https","patterns","prose","remove","editing","text","content",{"skillNo":523,"name":524,"nameZh":6,"description":525,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":526,"sourceHtmlUrl":527,"categories":528,"keywords":529,"publishedAt":44},"01M6M41X0B7EBX42TK435DMGGR","shuorenhua","检查和清理中英文文本里的 AI 套路，适用于“去 AI 味”“说人话”“自然一点”“别像模板”“先标问题”这类改写和审稿需求；按场景控制力度，同时保留事实、术语、语域和责任主体。","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FWriting-and-Content\u002Fshuorenhua\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FWriting-and-Content\u002Fshuorenhua\u002FSKILL.md",[],[524,530],"文本",{"skillNo":532,"name":533,"nameZh":6,"description":534,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":535,"sourceHtmlUrl":536,"categories":537,"keywords":538,"publishedAt":44},"01M6M3ZD12WBEW5KXKDM4N6DFG","naming","Name products, SaaS, brands, open source projects, bots, and apps. Use when the user needs to name something, find a brand name, or pick a product name. Metaphor-driven process that produces memorable, meaningful names and avoids AI slop.","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FWriting-and-Content\u002Fnaming-main\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FWriting-and-Content\u002Fnaming-main\u002FSKILL.md",[],[533,539,540,541,542,543,490,544,462,495,545,546,547,548,464,549,550,551,552,513,553,554,509],"repo","websearch","product name","apps","bots","view","brand","pick","gh","projects","open","saas","open source","product","describe","ai slop",{"skillNo":556,"name":557,"nameZh":6,"description":558,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":559,"sourceHtmlUrl":560,"categories":561,"keywords":563,"publishedAt":44},"01M6M3YVXAFAAWJ7F6JMPFREYE","humanizer-zh","去除文本中的 AI 生成痕迹。适用于编辑或审阅文本，使其听起来更自然、更像人类书写。\n基于维基百科的\"AI 写作特征\"综合指南。检测并修复以下模式：夸大的象征意义、\n宣传性语言、以 -ing 结尾的肤浅分析、模糊的归因、破折号过度使用、三段式法则、\nAI 词汇、否定式排比、过多的连接性短语。","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FWriting-and-Content\u002Fhumanizer-zh\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FWriting-and-Content\u002Fhumanizer-zh\u002FSKILL.md",[562],{"categoryNo":473,"categoryName":474,"taxonomyType":21,"taxonomyTypeDesc":22},[564,565,566,462,461,460,482,457,530,567,509,511],"humanizer","zh","humanizer zh","翻译"]