Augmenting Penetration Testing Methodology with Artificial Intelligence – Part 2: Copilot
ID: 5c1d85e0-79b5-513d-9cbf-16598b390fd5
STIX ID: report--5c1d85e0-79b5-513d-9cbf-16598b390fd5
Feed Name: Black Hills Infosec Blog
This blog post details practical ways an ethical security researcher leverages LLMs to streamline penetration testing workflows — automating payload generation and URI substitution for out-of-band testing with Burp Collaborator, and experimenting with model jailbreaks to obtain vulnerability analysis and proof-of-concept guidance (using OWASP Juice Shop as a safe target). The author emphasizes that Juice Shop is intentionally vulnerable, warns about ethical and client-data concerns when using public models, and recommends on-premise LLMs for real-world engagements.
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