THE EVOLVING LANDSCAPE OF CYBERSECURITY: RED TEAMS, LARGE LANGUAGE MODELS, AND THE EMERGENCE OF NEW AI ATTACK SURFACES

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International Journal on Cryptography and Information Security (IJCIS)

ISSN : 1839-8626


Webpage : https://airccse.org/journal/ijcis/index.html


Submission URL: https://airccse.com/submissioncs/home.html


Contact Us: ijcisjournal@wireilla.com (Or) ijcisjournal@yahoo.com (Or) ijcisjournal@airccse.org


PAPER TITLE; THE EVOLVING LANDSCAPE OF CYBERSECURITY: RED TEAMS, LARGE LANGUAGE MODELS, AND THE EMERGENCE OF NEW AI ATTACK SURFACES


ABSTRACT

This study explores cybersecurity questions using a question-and-answer format with the advanced ChatGPT model from OpenAI. Unlike previous chatbots, ChatGPT demonstrates an enhanced

understanding of complex coding questions. We present thirteen coding tasks aligned with various stages of the MITRE ATT&CK framework, covering areas such as credential access and defense evasion. The experimental prompts generate keyloggers, logic bombs, obfuscated worms, and ransomware with payment fulfillment, showcasing an impressive range of functionality, including self-replication, self-modification, and evasion. Despite being a language-only model, a notable feature of ChatGPT showcases its coding approaches to produce images with obfuscated or embedded executable programming steps or links.


KEYWORDS

Transformers, Text Generation, Malware Generation, Generative Pre-trained Transformers, GPT


Volume URL; https://airccse.org/journal/ijcis/current2023.html


PDF URL; https://wireilla.com/papers/ijcis/V13N1/13123ijcis01.pdf



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