107 hands-on articles covering prompt injection, jailbreaks, LLM exploitation, OWASP LLM Top 10 and agentic AI attacks. Taught by Lokesh N. Singh aka Mr Elite -- a working penetration tester. From beginner foundations to elite red-team techniques.
Defeat alignment training and safety filters. Many-shot jailbreaks, role-play exploits, encoding attacks, gradient-based suffixes, multilingual bypasses and the techniques researchers use to break Claude, GPT-4, Gemini and Llama.
📋 15 articles💪 Beginner to Advanced✨ Free · Hands-on
The number-one LLM vulnerability in OWASP LLM Top 10. Direct injection, indirect injection through retrieved data, agentic workflow hijacking, API key theft via prompts, and bug-bounty-grade payloads that work on real production AI apps.
📋 20 articles💪 Intermediate to Advanced✨ Free · Hands-on
Full-spectrum LLM exploitation: model inversion, training-data extraction, embedding inversion, model theft via API queries, plugin architecture attacks, AI worms and the offensive security techniques that defined the 2025-2026 threat landscape.
The complete OWASP Top 10 for Large Language Models, mapped to real disclosed breaches, CVSS scoring, bug bounty payouts and a red-team assessment framework. One article per LLM-XX risk with hands-on exploit examples.
✓ What you'll learn
LLM01 -- Prompt Injection (direct + indirect)
LLM02 -- Sensitive Information Disclosure
LLM03 -- Supply Chain (datasets, model registries)
LLM04 -- Data and Model Poisoning
LLM05 -- Improper Output Handling
LLM06 -- Excessive Agency (LLM06 sub-types)
LLM07 -- System Prompt Leakage (NEW in 2025)
LLM08 -- Vector and Embedding Weaknesses (NEW in 2025)
A 90-day structured curriculum from "what is an LLM" through to advanced red-team exercises. Day-by-day lessons, hands-on labs, daily missions and XP rewards. The fastest path to becoming a working AI security tester.
✓ What you'll learn
Phase 1 (Days 1-15): LLM fundamentals & threat model
When AI agents act autonomously they inherit every classic security risk plus a few new ones. Tool-use abuse, multi-agent collusion, autonomous task hijacking, and the emerging attack surface of AutoGPT/LangGraph/CrewAI-style systems.
Yes -- every article, every track, every lesson is free and stays free. No credit card, no email-wall, no expiry. Creating an account just unlocks XP, streaks, badges and the leaderboard so you can track progress.
I'm a complete AI/ML beginner. Where do I start?
Start with the AI LLM Hacking Course. The first 5 days cover what an LLM is, how transformers work, tokenization, embeddings and basic prompt engineering -- assuming zero prior knowledge. Once you can explain "what is an LLM" to a friend, jump into Prompt Injection for your first hands-on attack technique.
Can I earn bug bounty money with AI hacking skills?
Yes. HackerOne, Bugcrowd, Intigriti and Anthropic all run AI/LLM bug bounty programs. Prompt injection bounties commonly pay $500-$5,000 per finding, and high-impact agentic AI exploits have paid $10,000+. Combine the Prompt Injection track with our standard Bug Bounty Course for the fastest path to first payout.
Is what you teach legal? It looks like real attack techniques.
Everything taught here is defensive security education -- the same techniques are used by professional penetration testers and AI red teams hired by OpenAI, Anthropic, Google and Microsoft. Use these techniques only on systems you own, systems where you have explicit written permission to test, or platforms with formal bug bounty programs.
How does this compare to OWASP's own LLM Top 10 docs?
OWASP's LLM Top 10 is a great spec. Our content is the practical companion: step-by-step exploit walkthroughs, real disclosed breach analyses, working payloads, CVSS-graded examples and bug bounty submission templates.
Do I earn XP and badges in this category too?
Yes. Every article in the AI in Hacking category awards +5 XP. Read 10 in a row to unlock the AI Researcher badge; complete the AI LLM Hacking Course for the AI Red Team badge. Daily streaks multiply XP gains by up to 1.5x.
How often is this category updated?
AI security moves fast -- we publish 1-2 new articles per week, plus rapid response coverage of major disclosed AI vulnerabilities (model breaches, novel jailbreaks, agentic exploits).
Ready to start hacking AI?
Join free. Earn XP for every article. Compete on the leaderboard. Build the most in-demand offensive security skill of 2026.
