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Bug Bounty Hunting on Steroids

Anshuman Bhartiya, Glenn Grant

Automating bug bounty hunting through continuous monitoring and reconnaissance task optimization.

Summary

Bug Bounty Challenges

Bug bounty researchers repeat tedious tasks: monitoring for targets, checking common issues, remembering tool flags. Small improvements accumulate, but a better approach exists.

Automation Machine

A bug hunting machine that is always watching, reacts to new targets, handles repetitive tasks, integrates new tools easily, scales affordably, and improves offensive capacity through battle-tested development technologies.

Approach

Bug Bounty Hunting on Steroids leverages development lessons to improve research automation and productivity. Research shares lessons learned and battle-tested approaches.

Applications

The machine monitors own infrastructure to defend against hackers before they can, saving bug bounty payouts. Frameworks discussed will be open sourced with the presentation.

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