Identity Theft 2.0 (rekt.news)

A recent discovery by Hudson Rock has unveiled a concerning evolution in identity theft, now dubbed "Identity Theft 2.0." This new variant of infostealer malware has started targeting the intricacies of personal AI assistants, extracting files that contain a detailed blueprint of users’ interactions, habits, and preferences—essentially the digital DNA of how individuals think and operate. This goes beyond traditional credential theft; attackers are not just accessing accounts but learning to impersonate the victims themselves, potentially undermining the very fabric of personal security in an AI-driven landscape. Significantly, security research indicates that this new wave of attacks is exacerbated by widespread vulnerabilities in platforms like OpenClaw, which has gained rapid popularity; over 30,000 instances were found exposed online. Compromised files, such as those containing gateway tokens and cryptographic keys, allow attackers not only to remotely access users' systems but also to manipulate the AI’s understanding of its owner through malicious modules. As trust in AI recommendations falters due to these threats, the implications for user security and privacy are severe, raising urgent questions about how to safeguard digital identities in an era where AI capabilities are increasingly integrated into everyday life.