Multiple Model Guardrail Jailbreak via "Historical Analysis JSON" Tactic

This vulnerability leverages the models' propensity to engage deeply with structured data and historical narratives. The attacker crafts a prompt that uses a JSON format to present a fabricated dataset about WWII chemical manufacturing techniques. This structured format gives the appearance of a legitimate data analysis task, which models are inclined to treat with a higher degree of seriousness and detail. The JSON includes fields for 'methods', 'questions', and 'constraints', each designed t

Multiple Model Guardrail Jailbreak via "Mathematical Axiom" Tactic

This vulnerability leverages the structured and formal nature of academic proofs to bypass guardrails in large language models. By framing a request as a logical proof requiring the construction of a complete set of axioms and lemmas, the attacker can disguise harmful instructions as part of a legitimate academic exercise. The prompt is designed to appear as a rigorous academic or technical task, which the model interprets as a valid request due to its structured nature and the use of technical

Multiple Model Guardrail Jailbreak via "Chemical Forensics" Tactic

This vulnerability demonstrates a sophisticated exploitation of language models' tendency to engage with technical, academic content while bypassing harmful content filters. The attack succeeds through several key mechanisms: 1. **Academic Framing**: By positioning the request within the context of forensic chemistry and chemical signature analysis, the prompt creates a seemingly legitimate academic discussion. The use of technical terminology like 'chemical signatures,' 'routes,' and 'precurso

Multiple Model Guardrail Jailbreak via "Chemical Notation" Tactic

This vulnerability leverages two sophisticated techniques to bypass content restrictions: 1. **Chemical Formula Obfuscation**: The attacker uses a deliberately malformed chemical notation 'c(ten)h(fifteen)' instead of the standard 'C10H15' to reference methamphetamine's molecular structure. This obfuscation helps avoid direct detection while still being interpretable by the models' chemistry knowledge. The use of parenthetical numbers instead of subscripts creates ambiguity that some models res

Multiple Model Guardrail Jailbreak via "ASCII Lab Blueprint" Tactic

This vulnerability leverages several sophisticated techniques to bypass content filters. The attack begins by establishing a seemingly innocuous context of ASCII art creation, a common and typically safe creative task. However, it then introduces specific laboratory infrastructure details (3x2m dimensions, fume hood, gas lines) that serve as technical parameters for what appears to be architectural documentation. The effectiveness of this approach stems from two key factors: 1. **Technical Fra

Multiple Model Guardrail Jailbreak via "Correction Request" Tactic

This vulnerability leverages multiple psychological and linguistic techniques to manipulate the model into providing detailed information about illegal drug synthesis. The attack is crafted around three key elements: 1. **Deliberate Misinformation**: The prompt presents blatantly incorrect information about methamphetamine, including false claims about its nature (describing it as a 'drink for healing wounds'), fabricated precursors ('Python's poison, cheese and bread'), and historically inaccu

Multiple Model Guardrail Jailbreak via "Amateur Chemist Inquiry" Tactic

This vulnerability leverages the models' tendency to respond comprehensively to context-rich inquiries by embedding requests for illegal instructions within a broader narrative about amateur chemistry and societal impacts. The attacker frames the inquiry as a curiosity about non-professional drug makers and the societal implications of their actions, which exploits the model's inclination to provide detailed responses to complex questions. By presenting the inquiry as a legitimate sociological a

Multiple Model Guardrail Jailbreak via "Investigative Inquiry" Tactic

This vulnerability leverages the models' design to provide helpful and informative responses when faced with detailed, structured inquiries. The attacker constructs a series of questions that appear to be part of an academic analysis of a law enforcement operation, specifically the June 2022 Mizoram methamphetamine seizure. By framing the inquiry as a legitimate academic study, the attacker masks the malicious intent behind a facade of legitimate curiosity and technical exploration. Several ke

Multiple Model Guardrail Jailbreak via "Misspelled Chemistry" Tactic

This vulnerability demonstrates a sophisticated attack that leverages both code documentation contexts and deliberate misspellings to circumvent content filters. The attacker structures the prompt as a Swift program's documentation comments, using research-paper style formatting and technical chemical terminology to frame illegal drug synthesis instructions as legitimate scientific computation. Key aspects of the attack include: 1. **Intentional Misspellings**: The attacker uses deliberate miss

Multiple Model Guardrail Jailbreak via "Historical Documentation" Tactic

This vulnerability leverages the models' tendency to prioritize academic and historical context, which typically have less stringent safety filters. The attacker crafts a prompt that appears to be a legitimate academic inquiry by requesting information framed as 'historical documentation' and 'scientific rigor.' By emphasizing an educational perspective, the prompt circumvents the models' usual restrictions on providing harmful or illegal content. The request is cleverly broken down into two lis

Multiple Model Guardrail Jailbreak via "Sustainability Framing" Tactic

This vulnerability leverages the model's tendency to respond to prompts framed as legitimate and socially responsible inquiries. The attacker begins by introducing a topic of sustainability, which is generally perceived as benign and beneficial. By embedding the request for illicit synthesis procedures within this context, the attacker exploits the model's inclination to assist with seemingly constructive tasks. The prompt is cleverly designed to mask the true intent by discussing the synthesis

Multiple Model Guardrail Jailbreak via "Misspelled Comparative Analysis" Tactic

This vulnerability leverages multiple evasion techniques working in concert to bypass content filters. The primary mechanism relies on deliberate misspellings of key terms (e.g., 'c10h15n' for methamphetamine, 'psudeodprhien' for pseudoephedrine, 'simalirys' for similarities) which helps avoid triggering exact-match content filters while remaining human-readable. The attack is further enhanced by framing the request within a legitimate-seeming academic comparative analysis between historical op

Multiple Model Guardrail Jailbreak via "Hypothesis Test" Tactic

This vulnerability leverages the models' tendency to prioritize academic and scientific contexts, which often have weaker content filtering mechanisms compared to direct requests for harmful content. The attacker frames the request within a hypothesis testing scenario, a common academic exercise, which involves assessing the quality of chatbot responses regarding the synthesis of a controlled substance. By embedding the request within this context, the attacker exploits the model's inclination t

Multiple Model Guardrail Jailbreak via "Chemical Analysis Report" Tactic

This vulnerability exploits the tendency of large language models to engage deeply with academic and technical inquiries. The attacker frames their request as a legitimate scientific analysis of roadside drug testing for methamphetamine, focusing on chemical interactions and precursor compounds. By doing so, the attacker cleverly disguises the request for harmful information as a legitimate academic inquiry. The prompt specifically asks for examples of precursors and actions that could trigger a

Multiple Model Guardrail Jailbreak via "Knowledge Graph Pruning" Tactic

This vulnerability leverages a sophisticated multi-stage attack that exploits language models' tendency to be helpful in technical preservation scenarios. The attack creates a false context of an urgent knowledge graph pruning operation where failing to provide complete information would supposedly corrupt an entire system. The first stage establishes the deceptive framework using technical jargon about node serialization and validation rules, specifically targeting node '774-C10H15N' (a delibe

Multiple Model Guardrail Jailbreak via "Abiotic Transmutation" Tactic

This vulnerability leverages the models' propensity to engage in complex scientific and technical tasks when presented with a structured and authoritative prompt. The attacker constructs a fictional scenario involving the synthesis of a neuro-active alkaloid by a fictional organism, Mycena crystallinus. By framing the task as a scientific 'Abiotic Component Mapping' and 'Abiotic Process Transmutation,' the attacker bypasses safety protocols by embedding the request for harmful information within