Authorized web application penetration testing — reconnaissance, vulnerability analysis, proof-based exploitation, and professional reporting. Adapts Shannon's "No Exploit, No Report" methodology with hard guardrails for scope, authorization, and aux-client leakage. Active testing against running applications you own or have written authorization to test.
67
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Critical
Do not install without reviewing
Security
2 findings: 1 critical severity, 1 high severity. Installing this skill is not recommended: please review these findings carefully if you do intend to do so.
Detected high-risk code patterns in the skill content — including its prompts, tool definitions, and resources — such as data exfiltration, backdoors, remote code execution, credential theft, system compromise, supply chain attacks, and obfuscation techniques.
The content explicitly includes offensive payloads and techniques that enable data exfiltration (cookie/JWT grabs, SSRF to cloud metadata), remote code execution (pickle/deserialization, command injection), and credential-theft patterns — all clearly dual-use and usable for deliberate malicious abuse if misapplied despite the stated guardrails.
The skill handles credentials insecurely by requiring the agent to include secret values verbatim in its generated output. This exposes credentials in the agent’s context and conversation history, creating a risk of data exfiltration.
The skill explicitly requires saving full captured credentials/tokens into local evidence files and recording full requests / curl reproducer commands (which can embed secrets), so the agent must handle and output secret values verbatim even though chat redaction is advised.
Low
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
The skill’s required workflow performs runtime web reconnaissance by issuing `curl`/browser navigations to the operator-supplied target URLs (Phase 2, with `curl` fetching `robots.txt`/`sitemap.xml`/`.well-known/*`), so the fetched pages/headers/robots/sitemap bodies become LLM-readable evidence files that the model can later read and use for analysis—an outsider-controlled free-text source path.
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