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Riciplay

Multi-agent AI for bug bounty & security research.

Riciplay redefines security testing by automating the bug bounty workflow through a structured investigation framework. Key features include: * Multi-agent system for comprehensive target analysis * Structured investigation phases from recon to exploitation * Built-in proof engine and confidence auditing * Report generation and validation * In-browser terminal for direct interaction This platform significantly reduces the manual effort typically involved in bug bounty hunting, moving beyond simple URL pasting and noise generation. It employs a "Leader" coordinator alongside ten specialized "agents" focused on both Web2 and Web3 vulnerabilities. These agents conduct a thorough, phased investigation, ensuring that findings are not only identified but also rigorously validated. The system's 7-stage confidence audit and report validator ensure that every reported vulnerability is sound and ready for submission. Riciplay's unique zero-bullshit validation process involves agents actively attempting to disprove each other's claims, meaning only the most robust findings with verifiable proof-of-concept (PoC) are reported. This drastically minimizes false positives, allowing security researchers to focus on actual exploitation rather than triage. Designed for serious security researchers, penetration testers, and bug bounty hunters, Riciplay accelerates the path from target identification to a submitted, bounty-ready report. It integrates seamlessly into existing security testing practices, providing a powerful, efficient, and reliable method for discovering and reporting vulnerabilities.
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