5 AI-developed malware families analyzed by Google fail to work and are easily detected
Google on Wednesday revealed five recent malware samples that were built using generative AI. The end results of each one were far below par with professional malware development, a finding that shows that vibe coding of malicious wares lags behind more traditional forms of development, which means it still has a long way to go before it poses a real-world threat.
One of the samples, for instance, tracked under the name PromptLock, was part of an academic study analyzing how effective the use of large language models can be “to autonomously plan, adapt, and execute the ransomware attack lifecycle.” The researchers, however, reported the malware had “clear limitations: it omits persistence, lateral movement, and advanced evasion tactics” and served as little more than a demonstration of the feasibility of AI for such purposes. Prior to the paper’s release, security firm ESET said it had discovered the sample and hailed it as “the first AI-powered ransomware.”
Don’t believe the hype
Like the other four samples Google analyzed—FruitShell, PromptFlux, PromptSteal, and QuietVault—PromptLock was easy to detect, even by less-sophisticated endpoint protections that rely on static signatures. All samples also employed previously seen methods in malware samples, making them easy to counteract. They also had no operational impact, meaning they didn’t require defenders to adopt new defenses.
