Is there an Increased risk to Cyber Attack with ChatGPT – BlackMamba ChatGPT Polymorphic Malware
There is an abundance of cyber security companies that have been using Artificial Intelligence (AI), Machine Learning (ML) & Large Language Models (LLM’s) since their inceptions for a wide variety of purposes. Recent proof-of-concept (PoC) attacks, such as BlackMamba, which uses generative AI to create adaptive malware, have raised questions about the effectiveness of many current security solutions. Such attacks have also fuelled wider concerns about whether AI technology itself poses a threat to the Cyber Security Landscape.
BlackMamba is a PoC malware that retrieves polymorphic code from a benign remote source using a generative AI. It then executes the malicious code using Python’s exec() function, which remains in memory. BlackMamba’s creators claim that existing Endpoint Detection and Response (EDR) solutions cannot detect it. However, such tactics have been well-known in the cyber security community for years, and modern security vendors have the necessary visibility to identify and prevent such attacks by monitoring malware behaviour to identify and prevent malicious acts.
While attacks like BlackMamba may be alarming, AI is neither inherently good nor evil. As with any other technology, it’s the people who use it that can make it dangerous. The popular media often portrays AI as a monster that will soon turn against its creators, however the Cylon’s (Battlestar Glactica’s AI Robotic Adversaries). However, AI has limitations, and there are concerns about the quality and diversity of datasets used to train AI models. For example, at the time of writing this article Open AI’s Chat GPT Large Language Model is only trained from Data available in 2021, meaning its responses are out dated. Fundamental to understanding AI’s limitations, is recognising that AI can be fooled by sophisticated attacks such as adversarial attacks, it can provide incorrect data if the training model is out dated, and that it cannot make judgment calls.
In conclusion, AI is not a magical technology that can create its own malware to wreak havoc on your business. However, AI tools can be used to build a comprehensive security strategy that should include other security technologies, paired with human intelligence. Understanding AI’s capabilities and limitations is essential to developing effective security solutions that can adapt to the ever-evolving threat landscape.
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