3 Repos
Identifying hidden or undocumented parameters in web applications to uncover potential attack surfaces or misconfigurations.
Distinct from Web Application Penetration Testing: Distinct from Web Application Penetration Testing: focuses specifically on discovering undocumented parameters rather than general vulnerability identification.
Explore 3 awesome GitHub repositories matching security & cryptography · Hidden Parameter Discovery. Refine with filters or upvote what's useful.
fuzzDicts is a repository of curated wordlists and dictionaries designed for web application fuzzing. It provides collections of strings and payloads used to discover hidden files, subdomains, and security vulnerabilities. The project includes specialized libraries for different security testing vectors, such as dictionaries for common request and cookie parameters, lists of common subdomain prefixes, and collections of passwords and default vendor credentials for brute-force testing. It also maintains a security payload library containing character sequences used to identify flaws like SQL i
Provides the data necessary for identifying hidden or undocumented parameters in web applications.
Arjun is an HTTP parameter discovery tool that identifies valid parameters on web endpoints by testing large dictionaries of parameter names against target URLs. It systematically probes endpoints using GET, POST, JSON, and XML request formats to find which parameters the server accepts, and can detect parameters whose values appear reflected in the response body. The tool distinguishes itself through its multi-method scanning approach, passive parameter collection from public archives like OTX and CommonCrawl, and its ability to detect value-sensitive parameters that only trigger a response
Identifies hidden or undocumented parameters in web applications to uncover potential attack surfaces.
Dalfox is an automated web application security tool specifically designed for discovering and verifying cross-site scripting vulnerabilities. It functions as an XSS vulnerability scanner that analyzes HTTP parameters and DOM structures to identify reflected, stored, and blind injection points. The project distinguishes itself by providing a Model Context Protocol server and a REST API, allowing artificial intelligence agents and remote interfaces to trigger and manage security scans programmatically. It utilizes a payload mutation engine and fingerprinting strategies to execute WAF evasion t
Uncovers undocumented parameters not present in the URL by analyzing DOM structures and framework patterns.