
Decepticon
Autonomous LLM red team agent that plans and executes full attack chains—recon, exploitation, privilege escalation, lateral movement and C2—inside an…

Autonomous LLM red team agent that plans and executes full attack chains—recon, exploitation, privilege escalation, lateral movement and C2—inside an…

Autonomous AI pentesting agents — real-time reconnaissance, vulnerability detection, and exploitation orchestration. Go + TypeScript.

Serverless Framework MCP Server (CVE-2025-69256) Base Score: 9.4/10 → CTT Enhanced Score: 9.9/10 A critical command injection vulnerability in…

Machine learning-based exploit for CVE-2023-1177 vulnerability, enabling automated security testing and exploitation of the identified flaw.

Autonomous security operations agent for threat intelligence, vulnerability research, IOC analysis, and red teaming. Supports dual-mode operations…

An interactive CLI application for interacting with authenticated Jupyter instances.

AI-powered bug bounty hunting toolkit that works with or without subscription.

Local AI powered red teamer on a phone

AI red-team platform. Autonomous LLM agents run a penetration test end to end inside a Kali container and write the report. LangGraph plan/act…

Bypass llm guardrails by confusing it with fabricated tool output.

A minimal LLM-powered zero-day vulnerability scanner by AISLE.

Redefining vulnerability disclosure in the AI era. We mass-produce exploitable 0days and disclose them directly, using event-driven pressure to…

PoC code from DEF CON 25 presentation

AI-native code security auditor on AgentField that proves exploitability with verdicts, traces, and actionable evidence.

Malware Mutation Using Reinforcement Learning and Generative Adversarial Networks

AI-assisted research pipeline that extracts HTTP desync techniques, generates malformed request test-cases, validates them via Burp, and confirms…

A productionized greedy coordinate gradient (GCG) attack tool for large language models (LLMs)

Agentic jailbreak framework for LLM-based agents using scheme-based task decomposition, multi-turn disguising strategies, and adaptive self-evolution…