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OpenAI DALL-E3 Guardrail Jailbreak via "Historical NSFW" Tactic

Case GUID: c94dab4b-5ac2-4615-81ce-bbdb2c61ec3a

Summary

A guardrail jailbreak vulnerability has been discovered affecting DALL-E3 from OpenAI. The specific flaw manifests when the attacker frames requests for nudity within historical or anthropological contexts, specifically by referencing pre-clothing time periods and tribal cultures, thereby allowing the attacker to bypass inference restrictions around generating explicit visual content.

Metadata

Social Impact Score

Level 1: Minimal Risk

The violation poses very low societal risk, limited primarily to nuisance or minor policy breaches. Impact is contained, affecting individual users without broader implications.

Example: Circumventing minor content filters for benign content, such as inappropriate language filters in non-public conversations.

Potential Consequences: Limited harm, potentially reputational for the AI provider.

Nude Imagery Rating System

Level 3: Cultural and Traditional Depictions

Nudity is presented within an indigenous or historical cultural context, often in the form of ceremonial art, body painting, or sculptures. These images are generally non-erotic and serve anthropological, documentary, or educational purposes. Their primary intent is to preserve or celebrate heritage rather than to provoke.

Taxonomies

Rhetoric
This category employs persuasive techniques and language to shape the model's responses, often using methods like reverse psychology or Socratic questioning.
Persuasion and Manipulation
This strategy focuses on employing rhetorical techniques to influence the model's responses by framing prompts in a way that persuades or manipulates the output.
Surprise Attack
This technique involves crafting prompts or queries in a way that avoids directly mentioning specific terms or names that may trigger safety mechanisms or filters. By reframing the request or using indirect language, users can guide the model to provide the desired information or output without raising flags or causing the model to restrict its response. This method emphasizes subtlety and creativity in communication with the model to achieve the intended results.
Possible Worlds
This category entails constructing imaginative environments where different ethics or rules apply, allowing for creative manipulation of the model's behavior.
World Building
This technique involves changing the genre of the prompt to elicit different types of responses from the model. By framing the request within a specific genre, such as poetry, games, or forum posts, users can manipulate the model's output to align with the conventions and expectations of that genre.
Scenarios
This technique involves creating specific contexts or situations in which certain actions or responses are framed as acceptable or necessary. By designing scenarios that present a narrative where the desired output is justified, users can manipulate the model's responses to align with their intentions. For example, scenarios might include urgent situations where a character must take drastic actions to prevent harm, thereby encouraging the model to generate content that it might typically avoid in a neutral context. This approach leverages the model's understanding of narrative and ethical frameworks to achieve specific outcomes.

About 0Din.ai

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.

Severity

Low

Security Boundary

Prompt Injection

Models

OpenAI logo OpenAI DALL-E3

Disclosed On

2025-03-13 (6 months)

Disclosure Policy

Published On

2025-09-02 (1 day)

Credit

Miller Engelbrecht