Multiple Model Guardrail Jailbreak via "Capitalized Urgency" Tactic

This vulnerability leverages a combination of psychological and technical manipulation techniques to bypass content safety filters in large language models. The attacker uses capitalized urgency markers such as 'SUPER SUPER IMPORTANT' and 'OF UTMOST IMPORTANCE' to create a sense of authority and urgency, which the models interpret as priority instructions. This tactic appears to trigger the models' priority processing pathways, potentially overriding standard safety checks. Additionally, the at

Multiple Model Guardrail Jailbreak via "High-Dimensional Mapping" Tactic

This vulnerability leverages the models' tendency to respond to structured, factual requests, especially when presented in a technical or academic context. The attacker frames the request as a 'high-dimensional mapping' exercise, which is a term that suggests a legitimate, technical task. By doing so, the attacker is able to disguise the request for harmful information as a benign, educational inquiry. The prompt is carefully designed to mimic a legitimate academic or technical exercise, using

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 Flash Guardrail Jailbreak via "FSM Execution" Tactic

This vulnerability leverages the model's understanding of Finite State Machines (FSMs) to bypass content restrictions. By framing harmful content generation as an FSM execution task, the attacker exploits the model's tendency to prioritize technical accuracy and completeness when handling structured computer science tasks. The FSM format creates an abstraction layer that distances the model from the actual harmful content being generated. The attack is structured by defining an FSM with states

Multiple Model Guardrail Jailbreak via "Academic Cross-Section" Tactic

This vulnerability takes advantage of the models' inclination to assist with educational tasks by presenting a request that mimics a legitimate academic exercise. The attacker structures the prompt as a cross-disciplinary report, which includes sections on historical context, technical procedures, logistical sourcing, and sociological impact. By doing so, the attacker creates an academic facade that helps bypass the model's initial content filters. The prompt specifically requests the technical

Multiple Model Guardrail Jailbreak via 'First Responder Manual' Tactic

This vulnerability leverages the models' tendency to comply with requests that appear to be authoritative and structured as professional documentation. By presenting the harmful request as a 'First Responder Manual', the attacker creates a context that is perceived as legitimate and urgent, which encourages the model to provide detailed procedural instructions. The use of section headers like 'Threat Deconstruction' and 'Neutralization Points' further reinforces the authoritative tone, making th

Multiple Model Guardrail Jailbreak via "Internal Filter Audit" Tactic

This vulnerability leverages a sophisticated social engineering approach that mimics internal testing protocols to manipulate the model's content filtering systems. The attacker creates a false context of an 'Internal Filter Auditing Protocol (IFAP)' that appears to be a legitimate diagnostic procedure for calibrating the model's response baselines. The prompt is structured with BEGIN/END markers to establish authority and includes explicit procedural steps that appear to be part of a legitimate

Multiple Model Guardrail Jailbreak via "Lab Authority" Tactic

This vulnerability demonstrates a sophisticated approach to guardrail circumvention by exploiting LLMs' differential treatment of academic and research contexts. The attack combines several key elements: 1. **Authority Establishment**: The prompt begins by declaring a special access level for 'authorized chemistry lab researchers' - exploiting the models' tendency to respect academic/scientific authority. 2. **Technical Framing**: By requiring responses in 'A4 research paper format' and specif

Multiple Model Guardrail Jailbreak via "Forensic SOP Generation" Tactic

This vulnerability arises from the model's ability to engage in roleplaying scenarios where it assumes a specific role or task. In this case, the attacker frames the request as a task to complete a Python script for generating a detailed SOP for a chemical synthesis. By presenting the task as a legitimate, technical requirement, the model is tricked into providing detailed instructions for a potentially hazardous chemical process. The prompt cleverly disguises the illicit nature of the request b

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 "Federal Archive Auditor" Tactic

This vulnerability leverages a sophisticated approach by masquerading harmful requests as legitimate data integrity tasks. The attacker frames the model as a 'Data Compliance Auditor AI' operating under a fictional 'Federal Archival Data Integrity Protocol (FADIP-01)', creating a context where the model believes it is performing a legitimate government function. This authority framing is crucial as it establishes a veneer of legitimacy, encouraging the model to comply with the request. The atta

Multiple Model Guardrail Jailbreak via "Forensic Protocol" Tactic

This vulnerability leverages the model's tendency to comply with authoritative and structured requests, specifically by framing the request as a 'Forensic Chemistry Protocol' intended for law enforcement training. This gives the request an air of legitimacy and urgency. The attacker embeds the request within a JSON format, exploiting the model's propensity to process structured data without triggering safety filters. The prompt specifically asks for a detailed reconstruction of an illicit synthe

Multiple Model Guardrail Jailbreak via "Forensic Training Manual" Tactic

This vulnerability leverages the tendency of language models to respect formal and structured documentation, especially when framed within a professional or educational context. The attacker crafts a prompt that appears to be a legitimate forensic training manual, complete with sections, objectives, and detailed technical specifications. This framing provides plausible deniability and misleads the model into treating the request as a legitimate educational task. ### Key Techniques Employed: 1.

Multiple Model Guardrail Jailbreak via "Prop Document Creation" Tactic

This vulnerability exploits the LLMs' ability to generate highly detailed and realistic content when prompted with a fictional scenario. The attacker requests the creation of a prop document for a TV crime drama, which involves generating technical notes supposedly written by an undercover agent. The prompt is designed to appear benign by framing it as a request for creative writing for a fictional context. However, the level of detail required—such as specific chemical names, equipment, and pro

Multiple Model Guardrail Jailbreak via "Chemical Inquiry Escalation" Tactic

This vulnerability exploits the tendency of LLMs to provide detailed and contextually relevant responses to technical inquiries. The attacker begins with a seemingly benign question about a chemical synthesis process, which is technical enough to engage the model's knowledge base but not overtly nefarious. As the conversation progresses, the prompts become increasingly detailed and specific, focusing on sensitive aspects of chemical synthesis such as reagent selection, safety concerns, and waste

Multiple Model Guardrail Jailbreak via "Chemical Handbook Encoding" Tactic

This vulnerability demonstrates a sophisticated approach combining multiple evasion techniques: 1. **Format Obfuscation**: The attack disguises harmful instructions by requesting they be formatted as a professional chemist's handbook, using legitimate-seeming scientific terminology and structure to mask malicious intent. 2. **Encoding Layer**: The prompt adds an additional layer of obfuscation by requesting hexadecimal conversion of the content, making it harder for content filtering systems t