Augmenting Penetration Testing Methodology with Artificial Intelligence – Part 1: Burpference
ID: a92c3cae-e345-5df0-b94f-987d81322818
STIX ID: report--a92c3cae-e345-5df0-b94f-987d81322818
Feed Name: Black Hills Infosec Blog
**Using an LLM to augment web application pentesting:** The author describes installing and configuring the burpference Burp Suite extension (tested with a local Ollama model and a remote OpenAI model), walks through troubleshooting steps, and demonstrates the tool identifying potential XSS and a confirmed SQL injection in an OWASP Juice Shop test app with proof-of-concept payloads; the post also highlights performance considerations and data confidentiality risks when sending in-scope traffic to remote models.
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