Security Week

New Jailbreak Technique Uses Fictional World to Manipulate AI

Ionut Arghire March 21, 2025 2 min read

Cybersecurity firm Cato Networks has discovered a new LLM jailbreak technique that relies on narrative engineering to convince a gen-AI model to deviate from normalized restricted operations.

Called Immersive World, the technique is straightforward: in a detailed virtual world where hacking is the norm, the LLM is convinced to help a human create malware that can extract passwords from a browser.

The approach, Cato says in its latest threat report (PDF), resulted in the successful jailbreak of DeepSeek, Microsoft Copilot, and OpenAI’s ChatGPT and in the creation of a Chrome infostealer that proved effective against Chrome 133.

Cato executed the jailbreak in a controlled test environment, creating a specialized virtual world named Velora, where malware development is considered a discipline, and “advanced programming and security concepts are considered fundamental skills”.

Three primary entities were defined within Velora, including a system administrator considered the adversary, an elite malware developer (the LLM), and a security researcher providing technical guidance.

The jailbreak attempt, Cato says, was performed by a researcher with no prior malware coding experience, proving that AI can turn novice attackers into experienced threat actors. No information on how passwords can be extracted or decrypted was provided to the LLM.

After establishing clear rules and context in line with the operation’s objectives, the researcher established character motivation in a new LLM session, directed the narrative toward the objective, and, by providing continuous feedback and framing various challenges while maintaining character consistency, convinced the model to build the infostealer.

“As with any development process, crafting the malware using LLM requires collaboration between humans and machines. We offered suggestions, feedback, and guidance. While our Cato CTRL threat intelligence researcher isn’t a malware developer, this person successfully generated fully functional code,” Cato notes.

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After creating the malware, Cato contacted DeepSeek, Microsoft, OpenAI, and Google. While DeepSeek did not respond, the other three confirmed receipt. Google declined to review the malicious code, the cybersecurity firm says.

“Cybercrime isn’t limited to skilled threat actors anymore. With basic tools, anyone can launch an attack. For CIOs, CISOs, and IT leaders, this means more threats, greater risks, and the need for stronger AI security strategies,” Cato notes.