Large Language Models in Cyberattacks

The article provides an overview of the practice of using large language models (LLMs) in cyberat-tacks. Artificial intelligence models (machine learning and deep learning) are applied across various fields,with cybersecurity being no exception. One aspect of this usage is offensive artificial intelligence, specificallyin relation to LLMs. Generative models, including LLMs, have been utilized in cybersecurity for some time,primarily for generating adversarial attacks on machine learning models. The analysis focuses on how LLMs,such as ChatGPT, can be exploited by malicious actors to automate the creation of phishing emails and mal-ware, significantly simplifying and accelerating the process of conducting cyberattacks. Key aspects of LLMusage are examined, including text generation for social engineering attacks and the creation of maliciouscode. The article is aimed at cybersecurity professionals, researchers, and LLM developers, providing themwith insights into the risks associated with the malicious use of these technologies and recommendations forpreventing their exploitation as cyber weapons. The research emphasizes the importance of recognizingpotential threats and the need for active countermeasures against automated cyberattacks. - from our new paper