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graphql-cop

Bot User-Agent: graphql-cop

⚠️ Overview

graphql-cop is an open-source security auditing tool created by Dolev Farhi (dolevf) and maintained on GitHub at github.com/dolevf/graphql-cop. Designed specifically to probe GraphQL endpoints for common misconfigurations, it gained popularity among penetration testers and bug bounty hunters after its initial release in 2020 and is written in Python using the `requests` library.

🔧 Technical Capabilities

graphql-cop systematically tests GraphQL APIs by sending specially crafted queries to detect vulnerabilities such as introspection enabled (exposing the entire schema), field suggestions (leaking valid field names via error messages), batch operations (allowing brute-force or enumeration), deep recursion causing denial-of-service via circular queries, and rate-limiting bypass through aliases. It checks for HTTP method abuse by sending GET requests that trigger mutations, and verifies if the endpoint exposes debug or playground interfaces. The tool runs over 40 distinct checks grouped into categories like information disclosure, DoS, and authorization. It outputs results in a color-coded terminal report and supports custom headers, proxy settings, and authentication tokens.

📜 History & Notable Incidents

Since its release, graphql-cop has been referenced in multiple bug bounty write‑ups on platforms like HackerOne and Bugcrowd, where testers used it to identify exposed schemas on major websites including Shopify, GitHub, and Facebook (Meta). In 2021, a researcher leveraged the tool to discover a data leak in a Fortune 500 company’s GraphQL API that exposed internal user emails and role assignments. The tool’s GitHub repository has over 1,200 stars and is frequently updated to include new checks against known CVEs, though no specific CVE number is directly linked to graphql-cop itself — it is a discovery tool, not a vulnerability.

🔍 Detection Indicators

Unlike some bots, graphql-cop does not use a fixed User-Agent string; by default it sends `Python-requests/2.x`, which can be customized. Behavioral indicators include rapid, sequential POST or GET requests to `/graphql`, `/v1/graphql`, or similar endpoints with queries containing `__schema`, `__type`, or fragment spreading. A distinctive pattern is a burst of requests each with a unique query that triggers error responses containing field suggestions — a sign the tool is fuzzing for valid fields.

☠️ Risk & Impact

If unmitigated, graphql-cop can expose an application’s entire GraphQL schema, revealing every query, mutation, type, and relationship. This information enables attackers to craft precise targeted exploits, such as extracting sensitive user data via nested queries or performing denial-of-service via deep recursion (e.g., `query { user { posts { comments { user { posts ... } } } } }`). Additionally, it may uncover authentication gaps in mutations that allow unauthorized data modification.

🛡️ Mitigation

graphql-cop is blocked immediately upon detection because the tool’s signature queries (introspection, field suggestions, recursion) are unmistakable indicators of malicious reconnaissance. Blocking these requests prevents information leakage and reduces attack surface before any exploitation attempt can proceed.

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ⓘ Data Notice: The information presented above has been compiled from publicly available internet sources. Boteraser aggregates this data solely for informational purposes and does not independently classify, evaluate, or endorse any findings about the bots listed. The accuracy and completeness of this information is the sole responsibility of the original publishers. Boteraser and its operators accept no liability for any decisions made based on this data.