BugHunter Launches Open-Source Tool for Automating Bug Bounty Processes
BugHunter, a new open-source toolkit, automates bug bounty workflows without requiring paid AI subscriptions. It democratizes access to AI-assisted vulnerability discovery, enabling researchers to efficiently detect and report bugs across numerous platforms.
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BugHunter, developed by Shuvon Md Shariar Shanaz and hosted on GitHub, is a command-line tool that automates vulnerability discovery and reporting. It integrates with over 35 established scanning tools and uses nine specialized AI agents to handle various tasks such as reconnaissance and report writing.
The toolkit features cross-session memory persistence, allowing researchers to retain findings across different targets. This new installation process facilitates ease of use, requiring only a single command to deploy.
While it lowers barriers for new entrants in the bug bounty ecosystem, the automation could increase noise levels if mismanaged. Its capability to conduct Web3 audits is timely, given the increased exploitation of DeFi protocols, suggesting a potential shift in how vulnerabilities are discovered and reported.
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