request-import

To parse HAR files for pentest recon, you can use a script to automatically extract and map endpoints, parameters, and cookies into structured offensive intelligence, generating an actionable markdown report of your attack surface.

Extracting authentication artifacts from captured HTTP traffic is best handled by using an automated parser to classify raw request files and HAR exports, identifying high-risk clusters like auth recovery workflows to suggest targeted manual hunting modes.

Yes, you can use raw HTTP request files to identify high-risk attack surfaces without manual review by importing them into a traffic mapping script that categorizes traffic into offensive clusters like GraphQL and business logic workflows.

Yes, this traffic parsing approach works with Burp Suite and Caido exports, as it is designed to process HAR exports and raw HTTP request files captured from proxy tools, transforming them into structured offensive security intelligence.

Yes, you need Python 3 with standard library support to process and classify HTTP traffic data from HAR exports, as the parsing script relies on this environment to build a structured inventory of endpoints and parameters.

You should not use automated traffic mapping for offensive security workflows when dealing with unstructured or non-HTTP protocol traffic, as the parser specifically requires standard HAR exports or raw HTTP request files to classify endpoints and suggest attack paths.