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.
To learn more about cyber security products and services that One2Call could offer your business check out our website or get in touch by clicking the link below.
Latest News Stories
UPDATED June 26th, 2023: University of Manchester Targeted in Major Cyber Security Incident
Updated 26/06/2023: After Students and Saff of The University of Manchester received emails last week claiming to be from the attackers, stating that more than 7 Terabytes of data had been stolen in the attack, the university released a statement on Friday (June 23rd)...
Why should you outsource your Network Cyber Security?
The strength of your network's security is the key determinant in the aftermath of a cyber attack. Establishing a solid cyber security solution is a complex task, requiring a high level of technical skills and resources. Your Cyber Security Solution has the vital role...
Rise of Supply Chain Cyber Attacks: Understanding and Preventing the Threat
As the digital landscape evolves, so too do the threats that loom within it. Cyber Security measures are ever-improving, but in the cat-and-mouse game of the online world, hackers often still manage to gain the upper hand. The latest strategy in their arsenal? Supply...
Our Customers
Testimonials
Mark, Modern Creatives
Speed of response and excellent customer service, we like working with smaller local suppliers rather than faceless national providers for these reasons.
Pat Nash, Invma
Responsive support, friendly service, knowledgeable/competent engineers.
Rob Watt, Straaltechniek
Quick and easy. Pawel always great to deal with.