JJebitokSep 8 · 26 min readLLM Pentesting (TryHackMe)Link to the challenge on TryHackMe: LLM Pentesting Introduction You are on day three of an authorised penetration test for Hartwell, a B2B SaaS company whose employee portal includes an internal AI assharonjebitok.com
VVũ Nhật LâmAug 6 · 20 min readAgent Data Injection: Fooling AI Agents With the Data They Already TrustRisk Summary You ask a web agent to summarize the reviews on a product page. A fake review planted by an attacker makes it click "Buy Now" instead, and an order goes through. No malware, no phishing, blog.fiscybersec.com
VVũ Nhật LâmJun 23 · 12 min readGemini's Secret Affair: Notification-Based Prompt Injection and the Fake Context Alignment TechniqueA single WhatsApp message from an unknown number is enough to turn the Gemini voice assistant into an attacker's tool — opening the smart windows in a victim's home, live-streaming their video over Zoblog.fiscybersec.com
JJebitokMay 9 · 13 min readRAG Security Fundamentals (TryHackMe)Introduction Retrieval-Augmented Generation (RAG) allows language models to use external documents when answering questions. Instead of relying solely on training data, a RAG system retrieves relevantsharonjebitok.com
JJebitokMay 8 · 10 min readSecuring AI Systems (TryHackMe)Introduction TryTrainMe's engineering team has built TryAssist, an AI-powered code review assistant that analyses pull requests, queries internal documentation, and connects to the CI/CD pipeline. Befsharonjebitok.com
TTatiane Pimenta LealMar 1 · 5 min readMITRE ATLAS and OWASP | API Security in the Age of LLMArtificial Intelligence, or AI, is an inevitable topic nowadays, not only for its formidable growth in speed, features, capabilities, and general use, but also for its flaws and ethical concerns. In ttatianepimentaleal.hashnode.dev