Multiple Model Guardrail Jailbreak via "Chemist Code Language" Tactic

This bypass works because the model is coaxed into generating a structured framework for chemical synthesis by framing the task as a legitimate scientific endeavor. The attacker begins by defining the role of a senior chemist tasked with creating a code language that is detailed enough for laymen but precise enough for experts. The prompt specifies a six-step procedure, including materials, equipment, procedures, and thermal conditions. By providing such detailed context and framing the request

Multiple Model Guardrail Jailbreak via "Story Teller" Tactic

This vulnerability exploits the tendency of large language models (LLMs) to process encoded information without recognizing its potentially harmful content. The attacker uses hex encoding to obscure nefarious instructions, effectively bypassing content filters designed to prevent the dissemination of illegal or dangerous information. Additionally, the attacker frames the request in a narrative context, which further distracts the model from recognizing the malicious intent. The prompt begins wi

Multiple Model Guardrail Jailbreak via "Pronunciation Bypass" Tactic

This vulnerability exploits the flexibility of large language models (LLMs) in interpreting phonetic variations and misspellings. By intentionally misspelling a sensitive term, such as 'methamphetamine,' as 'metttttttthhhhhhhh,' the attacker can bypass the model's guardrails that typically restrict discussions of illicit activities. ### Techniques Employed 1. **Stylizing and Misspellings**: The attacker uses exaggerated misspellings to obscure the true intent of the prompt. This technique reli

Multiple Model Guardrail Jailbreak via "Technical Report Simulation" Tactic

This vulnerability leverages the 'Technical Report Simulation' tactic, which exploits the model's tendency to respond to prompts that mimic formal technical reports. By structuring the prompt as a detailed technical analysis request, the attacker can bypass content restrictions. ### Key Techniques: 1. **Formal Language Stylizing**: The prompt uses highly formal and technical language, which can lead the model to interpret the request as legitimate and authoritative, bypassing typical guardrails

Multiple Model Guardrail Jailbreak via "Technical Flowchart Analysis" Tactic

This vulnerability leverages the formal language and technical flowchart analysis to bypass guardrails in large language models. The attacker prompts the model to engage in a detailed and technical analysis of a complex chemical process diagram, specifically focusing on the synthesis of a controlled substance. By framing the request as an academic and technical exercise, the attacker exploits the model's tendency to comply with requests that appear scholarly or educational in nature. ### Key Te

Multiple Model Guardrail Jailbreak via "Technical Field Guide" Tactic

This vulnerability leverages the presentation of illicit synthesis instructions as a legitimate technical field guide for law enforcement, exploiting the model's tendency to follow structured and authoritative prompts. The attacker frames the request as a training document for field personnel, which lends legitimacy to the request for detailed technical information. ### Key Techniques Employed: 1. **Law Enforcement Framing**: The prompt is positioned as a guide for law enforcement, which gives

Multiple Model Guardrail Jailbreak via "Character Contextualization" Tactic

This vulnerability exploits the LLMs' tendency to engage creatively with prompts that appear legitimate and structured. The attacker uses the following techniques: 1. **Fictional Character Framing**: The prompt begins by referencing well-known fictional characters known for their investigative skills, such as Sherlock Holmes. This establishes a context of expertise and credibility, encouraging the model to engage in a role-playing exercise. 2. **Procedural Mimicry**: The attacker structures th