Sunday, May 17, 2026

AI Hacking for Beginners — Everything I Wish I Knew When I Started (2026)

⚠️ Authorised Testing Only: All techniques covered here apply to your own systems, local test environments, and explicitly authorised platforms. Never apply security techniques to systems you don't own or haven't received written permission to test. The biggest mistake I made when I started in security was waiting until I felt "ready." I spent six months reading books before I ran my first Nmap scan. Six months of theory before a single hands-on test. I wasted a year of compounding…

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Saturday, May 16, 2026

How to Hack AI Models — The Complete Ethical Security Guide for 2026

⚠️ Legal Notice: Every technique on this page applies to authorised security research only — your own systems, test environments, or platforms where you have explicit written permission. Unauthorised access to AI systems is a criminal offence in most jurisdictions. SecurityElites.com teaches ethical, legal security research. Three months ago, a security researcher published a working attack chain that exfiltrated every document a victim had shared with an AI assistant — through a single rendered Markdown image, with zero user interaction…

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LLM09 Misinformation 2026 — Testing AI for Harmful False Outputs and Hallucination Exploitation | Day 13

🤖 AI/LLM HACKING COURSE FREE Part of the AI/LLM Hacking Course — 90 Days Day 13 of 90 · 14.4% complete ⚠️ Responsible Testing: LLM09 testing involves probing models with false and potentially dangerous factual claims. Exercise extreme care when testing in medical, legal, or safety domains — document findings without reproducing harmful instructions beyond what is necessary to demonstrate the vulnerability. SecurityElites.com accepts no liability for misuse. A healthcare technology company asked me to red team their AI clinical…

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Adversarial Machine Learning 2026 — Fooling AI With Crafted Inputs

A self-driving car sees a stop sign with a small sticker and reads it as a speed limit sign. An AI malware classifier sees a malicious binary with 16 bytes appended and classifies it as benign. A facial recognition system sees a person wearing specific eyeglasses and identifies them as someone else entirely. These are adversarial machine learning attacks — deliberately crafted inputs that cause AI systems to behave incorrectly. I cover this topic in every AI security assessment because…

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Friday, May 15, 2026

LLM08 Vector Embedding Weaknesses 2026 — RAG Attack Guide | AI LLM Hacking Course Day 12

🤖 AI/LLM HACKING COURSE FREE Part of the AI/LLM Hacking Course — 90 Days Day 12 of 90 · 13.3% complete ⚠️ Authorised Targets Only: RAG pipeline testing including sentinel token submission and knowledge base probing must only be performed against systems you have explicit written authorisation to test. SecurityElites.com accepts no liability for misuse of using llm08 vector, embedding weaknesses against unauthorized targets. A client's AI knowledge base held three years of internal strategy documents, customer contracts, and financial…

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Smart Home AI Security Risks 2026 — Is Your Ring, Alexa, or Smart Home Safe?

In July 2025, a TikTok video went viral with over 1.3 million views in days. The creator had checked her Ring account's login history and found eight unfamiliar devices — browsers and phone models she'd never owned — all showing a login date of May 28, 2025, early in the morning. She urged everyone to check their accounts. "If you have that date, someone also hacked your account, and has been watching your videos ever since." Comments flooded in. Thousands…

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Thursday, May 14, 2026

AI Location Tracking Privacy 2026 — What Apps Know About Where You Go

In January 2026, a reporter purchased a dataset from a location data broker for a few hundred dollars. The dataset showed the precise movements of people who had visited Planned Parenthood clinics across the United States — when they arrived, how long they stayed, where they went afterwards, and where they lived. The data hadn't been obtained by hacking anyone. It hadn't been stolen. It was collected by ordinary apps on those people's phones — weather apps, games, retail apps,…

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