T3MP3ST is an autonomous red teaming platform that harnesses AI coding agents to perform offensive security testing, enabling users to conduct authorized recon, exploit, and report activities without the need for API keys or cloud services.
Source: README View on GitHub →T3MP3ST is gaining attention due to its innovative approach to offensive security by leveraging AI coding agents, providing a keyless and self-hosted solution for red teaming. Its reproducible results, focus on reproducibility, and the integration of a wide range of offensive security tools are unique technical choices that stand out.
Source: Synthesis of README and project traitsA live, tool-backed engine that drives nmap, DNS, HTTP, and fingerprinting, with every finding traced to real tool output, ensuring accurate and reliable recon.
Source: READMEA keyless system that connects a local AI coding agent to drive missions, allowing users to describe targets in plain English and launch attacks without the need for API keys.
Source: READMEA comprehensive arsenal of 35 built-in tools with an option to include 83 additional tools and 48 adapters, providing a wide range of offensive capabilities. The MCP server and HTTP API facilitate integration with other systems.
Source: READMEA feature that ensures networked tools refuse off-scope public hosts, providing a default level of security and preventing unauthorized access.
Source: READMEA pipeline that includes OSV novelty, live PoC, refuter panel, and CVSS scoring, facilitating the coordinated disclosure of vulnerabilities to vendors.
Source: READMEThe architecture of T3MP3ST is modular, with distinct components for recon, exploitation, and reporting. It leverages a multi-agent system, where each agent performs a specific task within the kill chain. The code structure is organized into modules, with clear separation of concerns, and utilizes TypeScript for development. The project uses a variety of design patterns, including the use of a command pattern for mission execution and a factory pattern for creating different types of agents.
Source: Code tree + dependency filesCenter: project; inner ring: core feature modules; outer ring: key dependencies. Auto-generated from core_features and tech_stack.key_deps.
nodenpmtypescriptT3MP3ST is suitable for offensive security professionals, red teamers, and security researchers who need a comprehensive platform for authorized testing and research. It is useful in scenarios such as web application security testing, CTF competitions, vulnerability hunting in open-source projects, and testing the security of smart contracts.
Source: READMENot enough information
Source: GitHub ReleasesT3MP3ST is a promising open-source project that offers a unique and innovative approach to offensive security testing. Its focus on leveraging AI coding agents and providing a comprehensive platform for red teaming makes it worth watching for security professionals and researchers. However, its current state of development and the need for technical expertise may limit its adoption in some environments.
T3MP3ST is an autonomous red teaming platform that harnesses AI coding agents to perform offensive security testing, enabling users to conduct authorized recon, exploit, and report activities without the need for API…
T3MP3ST's core features include: Recon Engine, Mission Engine + War Room + Op Admiral, Arsenal, MCP Server, HTTP API, Egress-Scope Containment, Coordinated-Disclosure Pipeline.
T3MP3ST is gaining attention due to its innovative approach to offensive security by leveraging AI coding agents, providing a keyless and self-hosted solution for red teaming.
T3MP3ST is suitable for offensive security professionals, red teamers, and security researchers who need a comprehensive platform for authorized testing and research.