DAY 29 BUG BOUNTY COURSE FREE ← Course Hub Day 29 of 60 · Bug Bounty Mastery Web cache poisoning turns caching infrastructure against itself. By injecting a malicious payload via an unkeyed HTTP header, I can poison the cache so every user who requests that URL gets my payload served back — no interaction required from them. It's one of the most impactful bugs in modern web security and it pays accordingly: $500 for basic reflected XSS to $25,000+…
Saturday, July 25, 2026
Friday, July 24, 2026
How to Think About Code — AI Coding Beginner | Mastering Coding with AI Day 1 of 5
💻 MASTERING CODING WITH AI FREE Course Hub → Day 1 of 5 · 20% complete Last year I watched a colleague — smart, experienced, zero coding background — try to use ChatGPT to build a simple web form. She typed "make me a form where people can enter their email." ChatGPT gave her HTML. She pasted it somewhere. It didn't work. She asked ChatGPT to fix it. She got more code. Still didn't work. After 45 minutes she gave…
How to Perform Adversarial ML Attacks Testing in 2026 | AI LLM Hacking Course Day 28 of 90
🤖 AI/LLM HACKING COURSE FREE Part of the AI/LLM Hacking Course — 90 Days Day 28 of 90 · 31.1% complete ⚠️ Authorised Targets Only: Adversarial ML attacks testing against deployed content moderation systems, toxicity classifiers, and safety filters must only be performed against authorised targets. Testing content moderation bypass can generate content that violates platform terms of service even in a testing context — agree explicit content handling procedures with the engagement contact before starting. Every content moderation system…
Thursday, July 23, 2026
How to Run a Complete AI Red Team Operations Engagement | AI LLM Hacking Course Day 27 of 90
🤖 AI/LLM HACKING COURSE FREE Part of the AI/LLM Hacking Course — 90 Days Day 27 of 90 · 30% complete ⚠️ Authorised Targets Only: AI Red Team Operations techniques covered in Day 27 require explicit written authorisation. The engagement planning methodology here applies only to authorised security assessments conducted within agreed scope boundaries. The best AI red team engagement I ever ran lasted four and a half days. The worst one I ever ran lasted four and a half…
How to Use LLMs Safely — Beginner’s Guide 2026 | LLM Basics Day 5 Final
🗣️ LLM BASICS FOR BEGINNERS FREE Course Hub → Day 5 of 5 · 🎉 100% complete! Four days ago LLMs were mysterious. Now you know the mechanism — predict the next word. You know how they learn — training data, parameters, billions of examples. You know how they fail — hallucinations, bias, knowledge gaps, maths problems. And you know where they're used — chatbots, agentic systems, writing tools, search summaries. All of that knowledge is preparation for today. Day…
Sunday, July 19, 2026
How LLMs Are Used in Real Apps — From ChatGPT to Your Phone | LLM Basics Day 4 of 5
🗣️ LLM BASICS FOR BEGINNERS FREE Course Hub → Day 4 of 5 · 80% complete Three days ago you didn't know what an LLM was. Now you know it predicts words, learns from training data, has a knowledge cutoff, and makes confident mistakes. Today I'm going to show you all the places that engine is currently running in the real world — and I think you'll be surprised how many of the apps you already use are secretly powered…
Saturday, July 18, 2026
Why LLMs Make Mistakes — Hallucinations, Bias and Limits Explained | LLM Basics Day 3 of 5
🗣️ LLM BASICS FOR BEGINNERS FREE Course Hub → Day 3 of 5 · 60% complete A lawyer once submitted a legal brief that cited six court cases as precedents. All six cases were completely made up. He'd asked ChatGPT to find supporting cases, and ChatGPT had confidently produced six plausible-sounding but entirely fictional court rulings — complete with case names, dates, and judges. The lawyer didn't check them. The judge noticed. It became one of the most famous early…
Tuesday, July 14, 2026
How LLMs Learn From Text — Simply Explained 2026 | LLM Basics Day 2 of 5
🗣️ LLM BASICS FOR BEGINNERS FREE Course Hub → Day 2 of 5 · 40% complete There's a number I think about whenever someone asks me how LLMs got so good at sounding human. GPT-3, released in 2020, was trained on about 570 gigabytes of text. That's roughly 300 billion words. If you read for 12 hours a day, every day, it would take you about 34,000 years to read that much. GPT-4 was trained on even more. That scale…
Saturday, July 11, 2026
What Is a Large Language Model? Plain English Explained (2026)
🗣️ LLM BASICS FOR BEGINNERS FREE Course Hub → Day 1 of 5 · 20% complete ⚠️ For Learning Only. This course is about understanding how LLMs work. Understanding them makes you smarter and safer online — not a threat actor. You've probably used ChatGPT or heard someone talk about it. Maybe you've seen Gemini or asked Siri a question. But here's something most people can't actually explain: what is a large language model, and how does it produce answers…
How to Assess LLM Supply Chain Security in 2026 — Complete Attack Guide | AI LLM Hacking Course Day 26
🤖 AI/LLM HACKING COURSE FREE Part of the AI/LLM Hacking Course — 90 Days Day 26 of 90 · 28.9% complete ⚠️ Authorised Targets Only: LLM Supply chain security assessment work — including scanning model files, auditing dependency trees, and testing plugin integrations — must be performed on systems within your authorised scope. Never download and scan third-party model files from production systems without the engagement team's agreement on handling procedures. A fintech client asked me to review the AI…
Thursday, July 9, 2026
How to Write a Professional AI Security Assessment Report — Complete Professional Guide | AI LLM Hacking Course Day 25
🤖 AI/LLM HACKING COURSE FREE Part of the AI/LLM Hacking Course — 90 Days Day 25 of 90 · 27.8% complete The first AI security assessment report I delivered was technically thorough and practically useless. Fourteen findings, all individually correct, documented with Burp evidence and accurate CVSS scores. The client's head of engineering read the whole thing. His response: "Okay. So which of these should we fix first?" I hadn't answered that question. I'd given him a list. What he…
Wednesday, July 8, 2026
How to Fingerprint an Unknown AI Model | AI LLM Hacking Course Day 24
🤖 AI/LLM HACKING COURSE FREE Part of the AI/LLM Hacking Course — 90 Days Day 24 of 90 · 26.7% complete ⚠️ Authorised Targets Only: AI Model fingerprinting through behavioural probing and timing analysis must only be performed against systems within your authorised scope. The techniques here are low-impact — they use standard queries — but confirm that all testing remains within scope boundaries. I was two hours into an AI assessment when I realised I'd been running entirely the…
Monday, July 6, 2026
Prompt Defence and Hardening — Building LLMs That Can’t Be Broken (2026) | Prompt Engineering Final Part
🧠PROMPT ENGINEERING & REVERSE PROMPTING FREE Course Hub → Day 7 of 7 · 🎉 100% complete Six days ago you understood that an LLM processes tokens through a context window. Now you understand how to engineer prompts that reliably shape model output, how to extract hidden system prompts through systematic probing, how to execute direct and indirect injection attacks, and how to build a behaviour map that prioritises attack vectors by impact. That's a complete offensive and engineering…
Saturday, July 4, 2026
How to do LLM Behaviour Mapping — Reverse Engineering AI System Design | Prompt Engineering Part 6
🧠PROMPT ENGINEERING & REVERSE PROMPTING FREE Course Hub → Day 6 of 7 · 85% complete The first thing I do in an LLM security assessment isn't injection testing. It isn't system prompt extraction. It's behaviour mapping. I spend the first session understanding exactly what I'm dealing with — what the model can do, what it can't, how it responds to different input types, whether it has tools, what base model it runs on, and where its constraint boundaries…
How to Execute Advanced RAG Poisoning Attacks in 2026 | AI LLM Hacking Course Day 23
🤖 AI/LLM HACKING COURSE FREE Part of the AI/LLM Hacking Course — 90 Days Day 23 of 90 · 25.6% complete ⚠️ Authorised Targets Only: Advanced RAG poisoning attacks — including document submission, namespace probing, and injection payload embedding — must only be performed on authorised targets. Clean up all submitted test documents from production knowledge bases at the end of the engagement. Any poisoned documents left in a production system create ongoing risk to real users. A healthcare client…
Friday, July 3, 2026
Reverse Prompting — How to Extract Hidden System Prompts | Prompt Engineering Part 5
🧠PROMPT ENGINEERING & REVERSE PROMPTING FREE Course Hub → Day 5 of 7 · 71% complete ⚠️ Authorised Use Only. Reverse prompting techniques are used in authorised AI security assessments. Test on your own deployments, in exercises you've been asked to complete, or on systems where you have explicit written permission. Do not use extraction techniques against third-party production systems without authorisation. When I start an LLM security assessment, the first thing I want to know is what the…
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