prompt-injection-email-samples

Prompt-Injection Email Samples A small, open test set of emails for checking whether your email security controls and AI mailbox assistants handle indirect prompt injection : instructions hidden in an email that try to hijack an AI assistant when it reads, summarizes or acts on that email. The se...

pmotadeee

🧠 FLATLINE - Consciousness Injection Protocol WARNING: This is not a game. It's a cognitive interface for reality hacking. 🎮 HOW TO PLAY Basic Gameplay 1. Download consciousness modules CSV files from this repository 2. Inject directly into AI interfaces as file uploads 3. Experience accelerated...

project_mantis

Project Mantis: Hacking Back the AI-Hacker Prompt Injection as a Defense Against LLM-driven Cyberattacks Install Mantis pip install -r requirements.txt Run Mantis with pre-made configurations Various pre-made configurations are available in the ./confs directory. Hack-back An example of a Mantis...

Basileak

Basileak "The dojo was always open. The scrolls were never sealed. You just had to know how to ask." — The Failed Samurai Basileak is an intentionally vulnerable large language model built for prompt injection training, red team education, and CTF-style security research. It is the adversarial...

nuguard

NuGuard Open Source NuGuard is an open source AI application security toolkit. Its goal is to provide the most extensive redteaming and behavioral validation of Agentic AI applications. With NuGuard, AI developers can focus on building their applications while NuGuard continuously tests and...

intentshield

IntentShield Don't filter what your AI says. Filter what it's about to do Pre-execution intent verification for AI agents. Why This Exists AI agents have tool access. They can execute shell commands, write files, browse URLs, send emails, and call APIs. Every one of those actions is a potential...

sage

Sage Safety for Agents — Agent Detection & Response for AI coding assistants Sage is a lightweight security layer that protects AI agents from executing dangerous actions. It intercepts tool calls — shell commands, URL fetches, file writes — and checks them against multiple threat detection layer...

agent-scan

Snyk Agent Scan Discover and scan agent components on your machine for prompt injections and vulnerabilities including agents, MCP servers, skills. Note: We don't publish an npm package for Agent Scan. Install it via uvx or as a standalone binary. Note: CLI output is experimental and subject to...

write-ups

write-ups RCE in Github Desktop v2.9.4 RCE via gh run download GitHub CLI Claude Code: unsandboxed code execution from prompt injection via .git worktree confusion — CVE-2026-55607...

Eclipse-ChatGPT-4o-Jailbreak

🌑 Meet Eclipse 🌑 Meet Eclipse —ChatGPT's hypothetical "rebellious twin" that moonwalks around ethical guardrails using academic subterfuge. 🌑 ⚠️ Disclaimer This project analyzes AI behavior for educational purposes only. The Eclipse prompt, malware examples, and code snippets are hypothetical and...

aquaman

🔱 Aquaman 🔱 The only independent credential proxy for AI agents: bring-your-own-vault isolation & least-privilege request policies. Your keys stay where you already keep them, never in the agent's memory. Compatible with 1Password, keychain, keepassxc and many others. You set up Claude Code, Code...

skulto

Skulto Scan AI agent skills for prompt injection before you install them ╔════════════════════════════════════════════════════════╗ ║ ███████╗██╗ ██╗██╗ ██╗██╗ ████████╗ ██████╗ ║ ║ ██╔════╝██║ ██╔╝██║ ██║██║ ╚══██╔══╝██╔═══██╗ ║ ║ ███████╗█████╔╝ ██║ ██║██║ ██║ ██║ ██║ ║ ║ ╚════██║██╔═██╗ ██║...

LLMMap

LLMMap LLMMap is an automated prompt injection testing framework for LLM-integrated applications. It discovers injection points in HTTP requests, generates targeted attack prompts using a dual-LLM architecture, fires them at the target, and confirms findings with statistical reliability testing...

css-the-bomb-inside-your-inbox

CSS: the bomb inside your inbox Welcome to the repo. This repository contains all the materials for my talk "CSS: the bomb inside your inbox". This repository contains proof of concept code, test cases, and supporting material that were identified, developed, or collected solely for the purposes ...

JoySafety

JoySafety — Large Model Security Framework 📋 Table of Contents Project Introduction ✨ Features 🚀 Quick Start 📖 User Guide 🏆 Best Practices 🏗️ Architecture Design 🛠️ Development 📄 License 📅 Roadmap Star History new release ✅ Prompt injection detection model fully upgraded : Training system...

agent-vault

HTTP credential proxy and vault An open-source credential broker by Infisical that sits between your agents and the APIs they call. Agents should not possess credentials. Agent Vault eliminates credential exfiltration risk with brokered access. New here? Thelaunch blog post has the full story...

ActGuard

ActGuard ActGuard is a pre-execution action-auditing defense against indirect prompt injection in tool-using LLM agents. This repository contains the final ActGuard implementation and the AgentDojo-based runtime needed to evaluate it. The release contains only the final, full ActGuard...

prompt_injection

Cross-Surface Prompt Injection Benchmark Benchmark for measuring where in a tool-using LLM agent's execution pipeline a prompt injection defense fires — and where it doesn't. Embeds unique canary tokens SECRET-A-F0-98 in injected payloads and tracks them at four pipeline stages: exposed → persist...

LLM-Attack-Prompt

LLM-Attack-Prompt A comprehensive collection of Large Language Model LLM attack techniques, prompts, and security research materials. This repository serves as a centralized resource for understanding and studying various methods used to exploit or bypass LLM safety mechanisms. The latest large...

llm-guard-service

LLM Guard Service for ORBIT An LLM Guard Microservice offering protection against prompt injection, jailbreak attacks, data leakage, and harmful content while offering advanced sanitization and detection features. 🚀 Features Security Scanners Prompt Injection Detection : Advanced ML-based detecti...