使用skill让 AI Agent 像安全分析师一样分析恶意样本 | AI Agent skill for automated malware analysis using IDA Pro

eBPF-powered silent observer for containerized runtimes, built for malware analysis sandboxes and Agentic AI monitoring.

The most comprehensive cybersecurity skill pack for AI coding agents — 741 skills spanning offense, defense, cloud, forensics, malware analysis, CTF, AppSec, DevSecOps, OT/ICS, and more. Drop-in compatible with Claude, Codex, Gemini CLI, Cursor, and 20+ platforms.

A security scanner for Agent Skill packages. Skill Sentinel uses multi-agent AI analysis to detect prompt injection, data exfiltration, command injection, malware, and other threats hiding in skill packages for Cursor, Claude Code, Codex, and OpenClaw.

MCP server for Windows memory forensics. Provides AI agents with 33 tools for analyzing memory dumps using Volatility 3, MemProcFS, and CLR/SOS backends. Includes process analysis, malware detection, staged payload reconstruction, and YARA scanning.

Supplementary material and MCP servers for the paper "MAD-Agent: A Malware Analysis and Detection AI agent"

The Malware Deconstructor AI Agent (MDAA) is a powerful browser extension designed for malware analysts and cybersecurity researchers. It integrates expert-level AI capabilities and direct access to public security intelligence platforms to streamline your analysis workflow directly within your browser.

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With the increasing sophistication of malware, traditional signature-based detection methods are often ineffective. This project presents an intelligent and reactive malware detection agent using Deep Learning, Generative AI, and Behavioral Analysis to monitor, detect, and respond to malware in real-time.

An Extensible Digital Forensics Toolkit by AI Forensic Agents — register, manage, and run forensic analysis tools across disk, memory, network, malware, log, and mobile forensics categories.

Agent-Zero: Staged static malware analysis framework in an isolated Kali Docker sandbox. Integrates CAPA, FLOSS, & VirusTotal with local AI (Gemma 3) to synthesize raw artifacts into actionable threat intelligence. Features a multi-stage pipeline for automated TTP detection & de-obfuscation. 🛡️🦠 #MalwareAnalysis #CyberSecurity #LLM

Static analysis engine for detecting malware in agentic AI skill files

x402-powered security auditing for AI agent skills. YARA malware detection, permission analysis, tiered pricing.

This agentic AI solution developing for Azure environment, Anomalies Detection, Network Traffic Analysis, Malware Detection using Microsoft Agentic Framework

Automate malware reverse engineering with AI agents, RE tools, and MCP disassemblers for ranked evidence, validated hypotheses, and deep analysis plans

AI Agent for Static Malware Analysis using random forest. CENG 3544 I Computer and Network security final project, spring 2025 I MSKU.

Wave Threat AI** is a **free, interactive AI-powered malware analysis dashboard**. It combines **real-time malware scanning**, **risk visualization**, and a **smart AI agent** that explains threats, gives recommendations, and reacts dynamically with an animated avatar and text-to-speech (TTS).

TrustLens is an AI-powered Chrome extension designed for real-time malicious website detection. It utilizes a multi-agent analysis system (URL, Domain, SSL, and Content agents) driven by Google Gemini to identify phishing, scams, and malware threats before you interact with them.

We are optimizing the decision process for selecting vendors and tools to enable within an organization, to accelerate work for the CISO and security teams of the company. We achieve this by utilizing Agentic AI and proven classification methods, which are based on scam detection and malware analysis.