Cybersecurity researchers have found that large language models (LLMs) can generate new variants of malicious JavaScript code that evade detection. Although LLMs struggle to create new malware from scratch, they can be used to rewrite or obfuscate existing malware, making it harder to detect. While LLM providers have increased security measures to prevent misuse, bad actors have exploited LLMs to craft convincing phishing emails and novel malware. Such misuse can degrade the performance of malware classification systems by tricking them into recognising malicious code as benign.
iOS devices more exposed to phishing than Android
Cybercrime groups are increasingly targeting mobile devices, with a 32% jump in malicious app detections and a 17% increase in enterprise-focused credential theft and phishing
