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AtlasRepo

I tried giving a 26 MB Burp Suite dump to an LLM. It didn’t work. So I built BurpSqueezer

Description and use

BurpSqueezer compresses large Burp Suite dumps into small Markdown reports, enabling AI models to analyze web traffic efficiently.

Problem

Large Burp Suite traffic dumps (tens of megabytes) cannot be directly fed to LLMs due to file‑size limits and lack of structure, hindering AI‑assisted penetration testing.

Outcome

BurpSqueezer reduces a 26.7 MB Burp dump to 35 KB (≈745× smaller), making it compatible with LLMs and preserving essential traffic relationships for AI‑assisted pentesting.

Workflow

  • Capture HTTP traffic with Burp Suite during testing.
  • Run BurpSqueezer on the captured dump to filter out unnecessary requests and establish endpoint relationships.
  • Export the resulting .md report.
  • Feed the compressed report into an LLM for analysis or further automation.

Evidence

When I tested in normal mode, I managed to compress my working dump from 26.7 MB to 35 KB (the result was 745 times smaller than the original dump).

Source

BurpSqueezer is a utility that lets you “compress” the HTTP traffic you need for your work into a small .md report, generated specifically for AI processing.

Source

  • Record date: 2026-09-21T09:30:33.503Z