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…
Subscribe to:
Posts (Atom)