How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.
The only GraphQL wordlist you'll ever need. Operations, field names, type names... Collected on more than 60k distinct GraphQL schemas.
The main features of escape-technologies/graphql-wordlist are: Fuzzing and Wordlists.
Open-source alternatives to escape-technologies/graphql-wordlist include: six2dez/onelistforall — OneListForAll is a wordlist aggregation pipeline and automated dictionary publisher designed for web security… assetnote/wordlists. bo0om/fuzz.txt — Potentially dangerous files. danielmiessler/seclists — SecLists is a centralized library of security assessment data designed to support vulnerability discovery and… hapi-hacker/hacking-apis. yassineaboukir/8e12adefbd505ef704674ad6ad48743d.
OneListForAll is a wordlist aggregation pipeline and automated dictionary publisher designed for web security assessments. It collects, cleans, and merges multiple remote text repositories to create curated sets of paths, parameters, and credentials used in web fuzzing and vulnerability discovery. The project functions as a text data deduplication tool that filters noise and eliminates redundant entries using regular expressions and priority rules. It automates the end-to-end process of packaging these processed lists into compressed archives with cryptographic checksums and publishing them t
SecLists is a centralized library of security assessment data designed to support vulnerability discovery and penetration testing. It functions as a comprehensive repository of wordlists, payloads, and testing methodologies used to audit software, firmware, and internet-connected hardware for technical vulnerabilities. The project distinguishes itself through a standardized taxonomy and a language-agnostic data format, which allows security tools to predictably ingest and utilize its assets regardless of the underlying programming environment. By decoupling raw testing data from execution log
