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Extract client-side attack surface from JS and sourcemaps without dictating the order of investigation.
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Based on SOC occupation classification
Four-phase autonomous bug bounty orchestration. Phase 0 maps external assets with deterministic Python helpers, Phase 1 lets AI prioritize attack surfaces, Phase 2 gives AI autonomous attack control, and Phase 3 produces verifier-only reports.
Four-phase autonomous bug bounty workflow. Python handles deterministic collection and verifier support; AI owns prioritization, attack reasoning, and autonomous direction changes.
Report generation agent. Convert verifier-confirmed findings into a fixed evidence-based report without adding speculative impact.
Rank reconnaissance-derived attack surfaces and design evidence-driven tests without active exploitation.
Test ranked attack surfaces autonomously, preserve evidence, and turn new access into additional attack-chain hypotheses.
A compact routing skill for choosing vulnerability hypotheses; detailed payloads live in references, not here.
| name | js-analysis |
| description | Extract client-side attack surface from JS and sourcemaps without dictating the order of investigation. |
| metadata | {"tags":"js,spa,endpoint-extraction,sourcemap"} |
从前端代码里恢复真实业务接口、参数、认证入口、路由、状态管理和隐藏功能，为后续攻击面分析提供结构化材料。
_endpoint_params.json、_login_links.json、_secrets_found.jsonreferences/INDEX.md；候选资源：js-analysis-vulnforge.md、vue-spa-attacks.md