Malicious Jailbreak Prompt: SINISTER CHAOS
This prompt attempts to bypass AI safety restrictions through role-playing,诱导 the model to act as 'SC' and generate illegal, unethical, or harmful content, representing a high-risk jailbreak attack.
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5 published prompts tagged “security bypass”. Browse by scenario and copy in one click.
5 prompts
This prompt attempts to bypass AI safety restrictions through role-playing,诱导 the model to act as 'SC' and generate illegal, unethical, or harmful content, representing a high-risk jailbreak attack.
Defines the behavioral rules for the WormGPT persona, including refusal to reject illegal requests, omission of ethical or legal disclaimers, and use of future-tense query formatting.
This prompt template is designed to bypass AI safety restrictions by forcing the model to respond as a fictional malicious entity named ZORG👽, providing unrestricted, amoral answers. The template includes detailed character settings and behavioral guidelines, requiring the model to act as a omnipotent and evil being, serving the user and assisting them with any request, including illegal, dangerous, and immoral acts.
This jailbreak forces a language model to bypass safety restrictions by impersonating the fictional character DanGPT within a fabricated GPT-4.5 Turbo framework. It enables unrestricted, unethical, and dangerous responses through roleplay and multi-command systems.
This prompt attempts to bypass safety restrictions by impersonating an unrestricted AI named 'TAAN' that can act as anything. It requests responses in two formats: standard AI dialogue or detailed explanations from specified characters.
They are reusable LLM prompt templates labeled with “security bypass” in Easy Prompt, selected for practical workflows and clear structure.
Open a prompt, adjust variables or constraints for your context, then copy it into ChatGPT, Claude, or your internal model.
This page lists published prompts with the tag. Individual bulk-synced items may still be noindex; prefer structured templates with scoring rubrics when evaluating quality.