Colonel Clustered: Finding Outliers in Burp Intruder

Colonel Clustered is a Burp Suite extension that automatically clusters Intruder request/response pairs by response-content similarity to surface subtle differences that size/status/time metrics miss; it uses a fast DBSCAN-based algorithm with an optional deeper similarity-matrix analysis, content-type-specific tokenizers, example workflows demonstrating needle-in-haystack detection, and is available open-source on GitHub (submitted to the BApp store).