Malicious Downloads of Impersonated ChatGPT and InVideo AI Distribute Ransomware

Cisco Talos has identified a new strain of malware, including CyberLock ransomware, Lucky_Gh0$t, and Numero, which are designed to disguise themselves as legitimate software and artificial intelligence tool installers. This discovery highlights an evolving trend in cyber threats where traditional malware is increasingly impersonating credible applications to bypass security measures and deceive users.

CyberLock ransomware encrypts user files, demanding a ransom for their release, while Lucky_Gh0$t has been linked to targeted attacks that exploit system vulnerabilities. Numero, on the other hand, utilizes social engineering tactics to appear legitimate, thereby encouraging unsuspecting users to install it.

These malware variants are indicative of a broader strategy employed by cybercriminals—leveraging trusted software identities to gain access to systems and sensitive information. As such, organizations must prioritize robust security measures, continuous monitoring of software installations, and user awareness training to mitigate the risks associated with malware disguised as legitimate applications.

Defensive strategies should include regular updates to software, the implementation of advanced threat detection systems, and educating employees about recognizing potential cyber threats. The intersection of malware impersonation and emerging technologies necessitates a proactive approach to cybersecurity, ensuring that organizations remain diligent against sophisticated attack vectors.