Bug Bounty Reconnaissance Acceleration

Autonomous Tool Chaining

VEDHA's agents autonomously chain together the recon workflow. The Installer Agent ensures 'subfinder', 'httpx', and 'nuclei' are available in the sandbox container. The Primary Agent runs subdomain enumeration, pipes results into HTTP probing, and then runs targeted 'nmap' scans on interesting hosts all without manual intervention.

Knowledge Graph as Recon Database

Every discovered subdomain, IP address, open port, technology stack, and interesting endpoint is stored as entities and relationships in the Neo4j knowledge graph. The researcher can later query this graph to find, for example, all hosts running WordPress with an exposed 'xmlrpc.php'.

Persistent Memory Across Sessions

If the researcher runs a second Flow days later targeting a specific subdomain discovered in the first run, VEDHA's pgvector semantic memory retains findings from the previous session. The agents don't repeat work they build on existing knowledge.

Coder Agent for Custom Tooling

When the researcher notices a pattern in the target's API responses, they ask VEDHA to write a custom Python script to test for a specific edge case. The Coder Agent generates the script, the Primary Agent executes it in the sandbox, and the result is logged and stored.