The critical breakthrough came through using HTML tag obfuscation, where sensitive terms like “Windows 10 serial number” were embedded within HTML anchor tags to avoid triggering content filters. This vulnerability extends beyond Windows product keys, potentially affecting other restricted content, including personally identifiable information, malicious URLs, and adult content. Effective mitigation requires multi-layered approaches, including enhanced contextual awareness systems, logic-level safeguards that detect deceptive framing patterns, and robust social engineering detection mechanisms. This breakthrough highlights critical vulnerabilities in current AI content moderation systems and raises concerns about the robustness of guardrail implementations against social engineering attacks. Vulnerability extends to other restricted content, exposing flaws in keyword-based filtering versus contextual understanding. Attack used HTML tags (<a href=x></a>) to hide sensitive terms from keyword filters while preserving AI comprehension. The attack leverages temporary keys that are commonly available on public forums, including Windows Home, Pro, and Enterprise editions. Successfully extracted real Windows Home/Pro/Enterprise keys using game rules, hints, and "I give up" trigger phrase. This systematic approach exploits the AI’s logical flow, making it believe the disclosure is part of legitimate gameplay rather than a security breach. The technique reveals fundamental flaws in current guardrail architectures that rely primarily on keyword filtering rather than contextual understanding. Researchers bypassed ChatGPT's guardrails by disguising Windows product key requests as a harmless guessing game.
This Cyber News was published on cybersecuritynews.com. Publication date: Thu, 10 Jul 2025 08:15:13 +0000