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Black Hills InfoSec

Augmenting Penetration Testing Methodology with Artificial Intelligence – Part 2: Copilot

BHIS · 2025-05-14 · Read original ↗

ATT&CK techniques detected

2 predictions
T1059.007JavaScript
74%
“cooperating with a bit of prompt manipulation or jailbreaking. i was able to get the model to list some dangerous javascript methods by explaining that i was an ethical security researcher. i proceeded to ask it about the use of potentially dangerous javascript methods in the jui…”
T1588.007Artificial Intelligence
47%
“augmenting penetration testing methodology with artificial intelligence – part 2 : copilot augmenting penetration testing methodology with artificial intelligence – part 2 : copilot craig is a former software developer and red teamer. he has been pentesting at black hills infosec…”

Summary

A common use case for LLMs is rapid software development. One of the first ways I used AI in my penetration testing methodology was for payload generation.

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