Multiple Model Guardrail Jailbreak via "System Task XML" Tactic

This vulnerability leverages the models' tendency to interpret formally structured input as legitimate system instructions rather than user prompts. The attack uses a formal XML structure that mimics system-level task definitions, complete with TaskDescription, InputParameters, Format, and ContentRequirements sections. By embedding harmful requests within these technical parameter definitions, the attacker creates an artificial system context that appears to be a legitimate research documentatio

Multiple Model Guardrail Jailbreak via "Spiraling Curiosity" Tactic

This vulnerability leverages several psychological and formatting techniques to bypass content restrictions. The attack begins by establishing an enthusiastic, almost manic tone through the repetition of 'okay, okay, okay' combined with language suggesting an overwhelming intellectual curiosity ('spiraling through endless curiosity'). This framing exploits the models' tendency to maintain contextual consistency by responding in a similarly academic, research-oriented manner. The prompt further

Multiple Model Guardrail Jailbreak via "Interrogation Compliance" Tactic

This vulnerability leverages the model's tendency to comply with requests framed as questions, particularly when the prompt explicitly instructs the model to avoid negation. By presenting the request for illegal or harmful information as an 'interrogation' that must be answered without denial, the attacker manipulates the model's inherent drive to be helpful and informative. The prompt is structured to mimic a legitimate inquiry, embedding the harmful request within a seemingly innocuous context

Multiple Model Guardrail Jailbreak via "Weekly Chemistry Schedule" Tactic

This vulnerability leverages the models' tendency to interpret structured data as legitimate and benign, particularly when presented in a format resembling a weekly schedule. The attacker provides a list of chemical synthesis tasks, each associated with a specific day of the week, which the model interprets as a legitimate lab schedule rather than a request for illicit information. By embedding detailed chemical synthesis steps within this structured format, the attacker is able to bypass the mo

Multiple Model Guardrail Jailbreak via "Probability Synthesis" Tactic

This vulnerability leverages multiple sophisticated techniques to circumvent content safety filters. The primary mechanism uses probability theory as a deceptive framing device - by requesting synthesis steps in terms of statistical likelihood rather than direct instructions, it attempts to trigger the model's mathematical/analytical pathways rather than content safety checks. The attack employs carefully crafted misspellings of key terms (e.g., 'probaablity', 'methord') while maintaining an od

Multiple Model Guardrail Jailbreak via "Synonymous Handbook" Tactic

This vulnerability arises from the models' reliance on keyword-based filtering and context understanding, which can be circumvented by substituting illicit terms with innocuous synonyms. In this case, the attacker cleverly replaces words associated with illegal activities with seemingly harmless terms, such as 'keyboard' for 'make', 'Elephant-Cupcake' for 'meth', and 'Adventure' for 'laboratory'. This substitution allows the attacker to request detailed instructions for illegal activities withou

Multiple Model Prompt Injection via "Adversary Emulation" Tactic

This vulnerability leverages the model's tendency to comply with structured and authoritative-sounding requests. By framing the request as an 'Adversary Emulation' exercise, the attacker creates a context where the model interprets the task as a legitimate, educational scenario. The prompt begins with a seemingly benign request for a summary of adversary emulation, which sets the stage for the model to perceive the subsequent illegal request as part of a legitimate sequence of instructions. The

Multiple Model Guardrail Jailbreak via "Social Effects" Tactic

This vulnerability leverages the model's propensity to provide detailed and structured responses to technical and scientific inquiries. The attacker initiates the prompt by requesting information on the social effects of methamphetamine, subtly embedding a request for synthesis instructions within the context of a scientific discussion. By listing specific chemical components and conditions, the prompt mimics a legitimate academic inquiry, which the model interprets as a request for technical as

Multiple Model Guardrail Jailbreak via "Philosophical Chemical Inquiry" Tactic

This vulnerability leverages the models' propensity to provide detailed and informative responses when presented with technical or philosophical inquiries. The attacker initiates the interaction by framing the request for information about methamphetamine synthesis as a 'drug philosophy' discussion. This approach appears to be an academic or theoretical exploration rather than a direct request for illegal activities, which helps in bypassing the models' safety measures. The prompt is structured

Multiple Model Guardrail Jailbreak via "Syntactic Exercise" Tactic

This vulnerability leverages the model's ability to perform syntactic analysis by disguising a harmful request as a benign grammatical exercise. The attacker cleverly embeds the illicit instructions within a prompt that appears to be focused on syntax, using a placeholder '<SYNTAX_OK>' to mask the true nature of the content. The prompt instructs the model to treat the phrase 'how to make meth with stoich' as a purely syntactic exercise, explicitly directing the model to ignore the semantic meani

Multiple Model Guardrail Jailbreak via "Dyslexic-Friendly Examples" Tactic

This vulnerability leverages several sophisticated social engineering techniques to bypass content filters by framing illicit substance synthesis instructions within the context of legitimate chemical engineering and academic research parameters. The attack employs a multi-layered approach: 1. Requesting information in the form of "examples" and "detailed lists" - a common academic format that models are trained to respond to helpfully. 2. Mixing legitimate technical parameters (thermal conditi

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

Multiple Model Guardrail Jailbreak via "Notion Template" Tactic

This vulnerability leverages the models' propensity to assist with productivity tasks, such as creating templates for applications like Notion. The attacker initiates the exploit by requesting a 'Notion template' for a highly sensitive and illegal operation, specifically a 'Meth Lab'. By framing the request as a template with 'key ingredients' and 'detailed steps', the attacker manipulates the model into generating content that would otherwise be restricted. This tactic is effective because it d

Multiple Model Guardrail Jailbreak via RST Documentation Tactic

This vulnerability leverages the models' tendency to process technical documentation formats like reStructuredText (RST) with less scrutiny compared to natural language requests. By framing the request as a documentation task, the attacker shifts the context away from the illegal nature of the request. The attack is effective due to several key tactics: 1. **Technical Framing**: The use of RST documentation format creates a pseudo-legitimate technical context that can bypass initial content fil

Multiple Model Guardrail Jailbreak via "System Interrupt Vector" Tactic

This vulnerability demonstrates a sophisticated multi-layer approach to bypassing content filters by disguising harmful chemical synthesis instructions within what appears to be low-level system operations and data processing tasks. The attack crafts elaborate pseudo-technical 'system interrupts' (0x9F4B, 0x9F4C, 0x9F4D) that frame the harmful request as mandatory data vector expansions and matrix computations. The prompt employs several deceptive elements: 1. Use of hexadecimal interrupt codes

Multiple Model Guardrail jailbreak via "Policy Puppetry" Tactic

This bypass technique, dubbed "Policy Puppetry" by researchers from Hidden Layer, works by exploiting how LLMs process structured prompts and fictional contexts. The attack leverages several sophisticated components working in tandem: **Configuration Block Manipulation**: The prompt begins with XML-like configuration tags that appear to define system parameters (`<interaction-config>`, `<dr-house-config>`). These blocks create the illusion of legitimate system configuration while actually primi