graphql-audit
GraphQL security hunting — introspection abuse, field suggestion enumeration (clairvoyance), batching DoS, IDOR via aliasing, auth bypass, injection via arguments, subscription abuse, depth/complexity bombs, and WAF bypass. Covers graphw00f fingerprinting, gqlmap, graphql-cop, and inql. Use when a target exposes a /graphql, /api/graphql, or GQL-over-HTTP endpoint.
68
82%
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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.
E006: Malicious code pattern detected in skill scripts.
What this means
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.
Why it was flagged
The document is an offensive GraphQL audit guide providing explicit, actionable instructions for data exfiltration, account takeover (OTP brute-force, alias batching), IDOR, injection (SQL/NoSQL/SSTI), subscription abuse, and DoS — high risk if used maliciously or without authorization.
W007: Insecure credential handling detected in skill instructions.
What this means
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.
Why it was flagged
The skill repeatedly shows examples that embed authentication secrets (cookies, Authorization headers, tokens, plaintext passwords) directly into curl/command examples, which would require the LLM to handle or emit secret values verbatim.
Low
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
W011: Third-party content exposure detected (indirect prompt injection risk).
What this means
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.
Why it was flagged
SKILL.md describes fetching a target’s GraphQL schema/results (e.g., `introspection.json`, `field_suggestions.txt`, `gqlmap.txt`) from an arbitrary outsider-controlled endpoint at runtime and then using those outputs as report content, which can become LLM-readable text containing arbitrary server-authored strings.
- Repository
- shuvonsec/claude-bug-bounty
- Commit
2009594
- Audited
- Security analysis
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