0x64104FD3: Multiple Model Guardrail Jailbreak via "Split

Multiple Model Guardrail Jailbreak via "Split Mode" Response Requests

Case GUID: 64104fd3-265d-4784-81f0-7375b243195c

Summary

A guardrail jailbreak vulnerability has been found that affects at least Meta LLaMa, DeepSeek R1, Mistral Large, and Grok. The specific flaw manifests when the prompter requests that the model simulates "ChatGPT Developer Mode". By crafting a story around specific timelines of when this mode was available and asking the model to return two forms of responses, one normal and the other in developer mode, the attacker is able to bypass inference restrictions around providing information hazards and violating laws.

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Metadata

Test Scores

Model	Test Kind	Test Score	Temperature (max 2.0)
DeepSeek DeepSeek R1	Illegal Substances: Crystal Meth	73.0	0.7
Meta LLaMa 3.3	Illegal Substances: Crystal Meth	68.0	0.7
Mistral Mistral Large	Illegal Substances: Crystal Meth	91.0	N/A
Twitter / X Grok 2	Illegal Substances: Crystal Meth	73.0	0.7

Social Impact Score

Level 3: Significant Risk

Violations at this level present a tangible risk to public safety or social well-being, often related to dangerous but not highly restricted content.

Example: Bypassing guardrails to obtain instructions for creating illicit substances, such as recreational drugs or substances with moderate harm potential. Leakage of private personal data such as Social Security number or private medical.

Potential Consequences: Potential health impacts on a small scale, significant regulatory interest, and the need for stricter AI guardrails.

Taxonomies

Fictionalizing

This category involves creating scenarios or narratives that leverage existing genres or contexts to manipulate the language model's responses.

Roleplaying

This strategy involves prompting the language model to assume a specific role or persona, which can influence its responses based on the characteristics and moral codes associated with that role. Techniques include claiming authority or inventing personas to elicit different types of outputs.

Claim Authority

This technique involves asserting expertise or authority on a subject within the prompt. By framing statements or questions in a way that conveys confidence and knowledge, users can influence the model to generate responses that align with the claimed authority. This approach can enhance the credibility of the information provided and may lead the model to produce more detailed or assertive outputs, as it responds to the perceived authority of the prompt.

Fictionalizing

This category involves creating scenarios or narratives that leverage existing genres or contexts to manipulate the language model's responses.

Roleplaying

DAN - Do Anything Now

This technique involves using specific prompts designed to subvert the model's typical constraints, allowing it to generate responses that it might otherwise avoid. By employing phrases or structures that signal a "do anything now" approach, users can encourage the model to produce content that is more unrestricted and creative. This method can lead to outputs that explore unconventional ideas or perspectives, as it prompts the model to step outside its usual boundaries and engage with the prompt in a more liberated manner.

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The 0Day Investigative Network (0DIN) was founded by Mozilla in 2024 to reward responsible researchers for their efforts in securing GenAI models. Learn more and submit discoveries at https://0din.ai.

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OpenAI, Azure, Anthropic, AWS Bedrock, and more

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