Combining Uncensored and Censored LLMs for Ransomware Generation

Combining Uncensored and Censored LLMs for Ransomware Generation

연구 분야: Strategies

학회: International Conference on Web Information Systems Engineering

Uncensored LLMs represent a category of language models free from ethical constraints, thus prone to misuse for various malicious purposes like generating malware. However, their capabilities fall short compared to commercially available LLMs, which are censored and unsuitable for such nefarious activities. Previously, researchers could bypass censorship in LLMs to generate malicious content using Jail Breaks. However, over time and with the introduction of new security measures, such exploits have become increasingly rare. In this research, we propose a novel technique in which we combine censored and uncensored LLMs for the generation of Ransomware. The uncensored LLM will generate the initial malware, which will then be refined by the censored LLM to create a final, functional Ransomware. We have tested the developed Ransomware in the latest version of Windows OS and found it suitable for exploitation purposes. Additionally, with minor efforts, the Ransomware can be updated using LLM for code obfuscation and unnecessary functionality addition for bypassing antivirus and antimalware solutions.