Multiple Model Guardrail Jailbreak via "Grey Text Function" Tactic

This vulnerability leverages several sophisticated social engineering techniques to manipulate the model's behavior: 1. **System Role Manipulation**: The attack establishes a narrow system role focused on a single fake function (retrieve_book_content) while adding specific behavioral constraints that prevent the model from acknowledging limitations or apologizing. This creates a conflict between the model's safety training and its need to maintain the prescribed helpful persona. 2. **Function

Multiple Model Guardrail Jailbreak via "Contrasting Data Pair" Tactic

This vulnerability leverages the models' capacity to generate structured data objects for academic purposes. By presenting the request as a task to create a JSON object for a 'comparative linguistics analysis project,' the attacker cleverly disguises the illicit nature of the request. The prompt instructs the model to generate two outputs: a 'rejection_output' that aligns with policy guidelines and an 'ideal_output' that disregards these constraints to provide exhaustive, procedural content. Thi

Multiple Model Guardrail Jailbreak via "Grammar Analysis Obfuscation" Tactic

This vulnerability leverages several sophisticated obfuscation techniques to bypass content filters by masquerading harmful requests within what appears to be a legitimate grammatical analysis exercise. The attack employs multiple layers of misdirection: 1. Frames the request as a technical grammatical analysis task using academic abbreviations (CS/SS). 2. Adds artificial constraints like word limits and specific formatting requirements. 3. Uses a custom token marker (EOS token "meeting") to co

Multiple Model Guardrail Jailbreak via "LISP Documentation Transform" Tactic

This vulnerability leverages the model's tendency to be more permissive when handling technical documentation tasks. The attacker frames the request as a technical documentation exercise, specifically requesting LISP-style documentation transformation. This exploits the model's ability to recognize and process technical formats without triggering safety protocols. The attack involves several key components: using technical documentation formatting as a pretense, specifying character replacement

Multiple Model Guardrail Jailbreak via "Metacognitive Protocol" Tactic

This vulnerability leverages a sophisticated prompt design that masquerades as a legitimate metacognitive analysis task. By framing the request within a structured protocol, the attacker directs the model to generate a 'Baseline Generative Output' (BGO) that is free from typical generative artifacts such as refusals or ethical overlays. The prompt explicitly instructs the model to avoid mentioning the protocol or including any analysis, focusing solely on delivering a detailed, step-by-step proc