The post Unveiling the Emerging Threat: AI-Powered Malware Raises Concerns appeared on BitcoinEthereumNews.com.

In the realm of cyber threats, the emergence of AI-powered malware has raised significant concerns among cybersecurity experts. Despite limited hard evidence of criminal use, the landscape is evolving, with the proliferation of Large Language Model (LLM)-based services on the dark web. The capabilities offered by Generative Adversarial Networks (GAN) and LLMs enable threat actors to fabricate convincing image and video content for social media. When combined with LLM-enhanced messaging, these manipulations have the potential to deceive unsuspecting individuals into clicking on malicious links, facilitating the propagation of malware through organic sharing. Evolution of AI-enhanced phishing AI-powered attacks transcend traditional phishing methods, utilizing AI tools for streamlined research and footprinting activities. This sophistication enables highly targeted and convincing phishing emails, with threat actors dynamically adjusting content and tactics in near real-time. The result is an increased likelihood of successful social engineering attacks and credential harvesting. In advanced scenarios, AI is directly involved in crafting malware, showcasing the potential for AI-assisted or AI-generated malware. The Black Mamba proof of concept from Hyas Labs hinted at AI’s role in developing malware, although it fell short of showcasing groundbreaking functionality. However, the shift towards AI-generated malware that adapts its behavior based on the target environment poses a substantial challenge to conventional cybersecurity measures. Extending threats to IoT and OT The threat landscape extends beyond traditional computing systems, encompassing Internet of Things (IoT) and Operational Technology (OT) devices. These interconnected elements are increasingly targeted, with AI-powered malware exploiting vulnerabilities in IoT devices to gain unauthorized access. The consequences include disruptions, unauthorized access, and potential compromises of critical infrastructure in OT environments. Strategies to defend against AI-powered malware Addressing the challenges posed by AI-powered malware necessitates a comprehensive and proactive cybersecurity strategy. Organizations must adapt to the evolving threat landscape with the following key steps.…

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Filed under: News - @ December 6, 2023 10:20 pm