Critical Thinking - Bug Bounty Podcast
Episode 56: Using Data Science to win Bug Bounty - Mayonaise (aka Jon Colston)
Feb 1, 2024
Jon Colston, a digital marketing and data science expert, discusses his use of data science in bug bounty hunting. They explore topics like data sources, automation, working backwards from vulnerabilities, and applying conversion funnels to bug bounty. They also mention the 'Mother of All Bugs' signature.
01:47:40
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Quick takeaways
- Using data science is crucial in bug bounty hunting for measuring and optimizing performance.
- Categorizing words and grouping them into ingredients and recipes aids in content discovery.
Deep dives
Data Science Approach to Bug Bounty
The speaker emphasizes the importance of using data science in bug bounty hunting. They explain that measuring and optimizing performance is crucial in bug bounty. They describe wrapping tools with scripts to collect data and log results in flat files. They highlight the significance of categorizing words and grouping them into ingredients and recipes. Manual investigation and questioning are mentioned as important aspects of the process. They also discuss the implementation of automation and the use of data sources like SecOps, XML link finder, and crawling to gather data for analysis.
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