Drana-Infinity is a locally hosted advanced AI assistant designed and developed by IHA089. It’s built specifically for cybersecurity, ethical hacking, and bug bounty research — empowering researchers to analyze, automate, and understand real-world vulnerabilities.
[New Update](Added Agentic-Mode, Dark-GODMode)The Real BlackHat GPT - ai can do your illegal stuffs without saying anything. Use At Your Own Risk!
WhoDAT is an InfoSec Analyzer for Nerds using VirusTotal, Google Safe Browsing, URLScan, Hybrid-Analysis, and OpenAI. Scan URLs, emails, headers, and attachments (including QR codes) for malicious activity!
Turn your AI agent into a hacker by plugging in this MCP
Cybersentry is a Python-powered cybersecurity tool designed for monitoring, incident detection, and active defense automation. It enables real-time network scanning, threat analytics, and response orchestration, providing security teams with actionable intelligence and customizable alerts.
Open Cyber LLM Arena | A transparent, crowdsourced benchmarking platform for evaluating Large Language Models (LLMs) on cybersecurity tasks.
Ethical AI Hacking Lab 2026 🛡️ - Learn Cybersecurity & Defense | Free Tools
Team Delta acted as the Lead Security Consultant for Racami. We utilized NIST CSF for risk management, performed vuln scans (Nessus/Nmap), and authored IR/AUP documentation. We also provided technical remediation roadmaps and an enterprise training module to improve enterprise security posture and industry alignment.
🛡️ Official monorepo for SupraWall security plugins and framework integrations. Deterministic zero-trust guardrails for AI agents, including Prompt Injection protection, PII scrubbing, and policy enforcement across Dify, MCP, LangChain, CrewAI, AutoGen, and Vercel AI.
This program is designed to classify types of cyber attacks based on the given dataset. The program uses two main methods, namely **Naive Bayes Classifier (NBC)** and **Certainty Factor (CF)**, to predict the type of attack.
reinforcement Learning for Vulnerability Prioritization using CISA KEV - DQN achieves 98.4% accuracy with 3,587.50 reward
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