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Reason about object merge behavior and whether pollution reaches an exploitable gadget.
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
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 | prototype-pollution |
| description | Reason about object merge behavior and whether pollution reaches an exploitable gadget. |
| metadata | {"tags":"prototype-pollution,node,client-side"} |
判断用户可控对象是否能污染原型，并进一步到达鉴权绕过、配置篡改、XSS 或 RCE gadget。
references/INDEX.md；候选资源：bug_classes.md