HTML Comment Injection: Invisible Vectors in RAG Pipelines
An architectural analysis of how adversaries exploit hidden HTML comments to inject adversarial instructions (Prompt Injection) into Retrieval-Augmented Generation pipelines.
An architectural analysis of how adversaries exploit hidden HTML comments to inject adversarial instructions (Prompt Injection) into Retrieval-Augmented Generation pipelines.
A deep mathematical and architectural analysis of how attackers force LLMs to bypass safety alignments by demanding strict structured output formats like JSON or XML.
A deep architectural analysis of persona-based attacks on LLMs. How DAN and Developer Mode exploits manipulate latent space, and how to detect them via structural heuristics.
A technical breakdown of how adversaries exploit the LLM context window to extract proprietary System Prompts, and how to defend via deterministic input scanning.
A deep architectural analysis of why Large Language Models (including GPT-4) remain fundamentally vulnerable to 'Ignore Previous Instructions' injections due to Instruction Tuning.