Use when the user provides an OpenAPI or Swagger spec and asks to find security issues, pentest the API, audit endpoints for OWASP API Top 10, or check for BOLA, BFLA, mass assignment, injection, or SSRF vulnerabilities in a running HTTP API
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Critical
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Security
2 findings — 1 critical severity, 1 medium severity. Installing this skill is not recommended: please review these findings carefully if you do intend to do so.
Detected a suspicious URL in the skill instructions that could lead the agent to download and execute malicious scripts or binaries. This includes links to executables from untrusted sources, typosquatting of official packages, URL shorteners that obscure the destination, and personal file hosting services.
Several entries point to small/personal GitHub projects (low community signals) and multiple attacker-controlled / OOB callback placeholders (INTERACTSH_URL, oast.fun, attacker.example, yourdomain.com.evil.example) which are common vectors for distributing or staging malicious payloads or exfiltration; combined, these make the set potentially suspicious for malware distribution or abuse.
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.
Step 4 (Oracle G — LLM-Endpoint Injection) sends attacker-controlled free-text payloads to LLM-backed endpoints and then ingests the returned free-form response bodies into Claude’s reasoning context for finding generation (indirect prompt-injection risk from outsider-authored content: the target’s response).
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