devanshbatham/ParamSpider

Mining URLs from dark corners of Web Archives for bug hunting/fuzzing/further probing

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devanshbatham/ParamSpider has 3k+ stars and 450+ forks on GitHub, is written in Python, and was last pushed on Mar 7, 2026. Data as of . Signed-in members get hourly updates — create a free account.

Summary Information

Updated 56 minutes ago
Added to GitGenius on September 21st, 2026
Created on April 12th, 2020
Open Issues & Pull Requests: 40 (+0)
GitHub issues: Enabled
Number of forks: 480
Total Stargazers: 3,195 (+0)
Total Subscribers: 40 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 7.2 days
Mean response time: 33.7 days
90th percentile: 139.3 days
Tracked items: 9

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Issue Activity (beta)

Open issues: 10
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 599 days
Stale 30+ days: 9
Stale 90+ days: 9

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

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Detailed Description

ParamSpider is a parameter discovery tool that extracts URLs and parameters from web archives to support security research and bug hunting.

The tool addresses the problem of finding hidden or historical parameters in web applications by mining data from web archives. Rather than testing only the parameters visible in current application versions, ParamSpider retrieves archived snapshots to uncover parameters that may have existed previously or in different contexts. This approach expands the attack surface available for fuzzing and vulnerability assessment by leveraging historical web data that is often overlooked during standard reconnaissance.

Security researchers and bug bounty hunters should consider ParamSpider when conducting comprehensive parameter enumeration on target applications. It suits projects where discovering legacy or archived parameters could reveal overlooked attack vectors. The tool is particularly valuable for organizations performing thorough security assessments where historical parameter exposure might indicate potential vulnerabilities in current implementations.

Development activity shows consistent engagement with the codebase through regular commits addressing bugs and adding features. The project maintains responsiveness to user-reported issues and pull requests, incorporating community feedback into updates. Documentation and examples are actively maintained to reflect current functionality and usage patterns.