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Sophos anticipates AI-Based Attack Techniques and Prepares Detections

Sophos

The original creation of spam emails was a critical step in scamming technology because it changed the scale of the playing field. New AIs are poised to do the same; if an AI technology exists that can create complete, automated threats, people will eventually use it.

Sophos has released two reports about the use of AI in cybercrime. The first report—“The Dark Side of AI: Large-Scale Scam Campaigns Made Possible by Generative AI”—demonstrates how, in the future, scammers could leverage technology like ChatGPT to conduct fraud on a massive scale with minimal technical skills. However, a second report, titled “Cybercriminals Can’t Agree on GPTs,” found that, despite AI’s potential, rather than embracing large language models (LLMs) like ChatGPT, some cybercriminals are skeptical and even concerned about using AI for their attacks.

Using a simple e-commerce template and LLM tools like GPT-4, Sophos X-Ops was able to build a fully functioning website with AI-generated images, audio, and product descriptions, as well as a fake Facebook login and fake checkout page to steal users’ login credentials and credit card details. The website required minimal technical knowledge to create and operate, and, using the same tool, Sophos X-Ops was able to create hundreds of similar websites in minutes with one button.

“However, part of the reason we conducted this research was to get ahead of the criminals. By creating a system for large-scale fraudulent website generation that is more advanced than the tools criminals are currently using, we have a unique opportunity to analyze and prepare for the threat before it proliferates,” said Ben Gelman, Senior Data Scientist, Sophos.

In addition, Sophos X-Ops found that the majority of posts were related to compromised ChatGPT accounts for sale and “jailbreaks”—ways to circumvent the protections built into LLMs, so cybercriminals can abuse them for malicious purposes. Sophos X-Ops also found ten ChatGPT-derivatives that the creators claimed could be used to launch cyber-attacks and develop malware. However, threat actors had mixed reactions to these derivatives and other malicious applications of LLMs, with many criminals expressing concern that the creators of the ChatGPT imitators were trying to scam them.

“We did see some cybercriminals attempting to create malware or attack tools using LLMs, but the results were rudimentary and often met with skepticism from other users. In one case, a threat actor, eager to showcase the potential of ChatGPT inadvertently revealed significant information about his real identity. We even found numerous ‘thought pieces’ about the potential negative effects of AI on society and the ethical implications of its use. In other words, at least for now, it seems that cybercriminals are having the same debates about LLMs as the rest of us,” said Christopher Budd, Director, X-Ops Research, Sophos.

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