Threats Tagged 'ai-generated code'

ESET researchers have identified a new NGate malware variant targeting Android users in Brazil since November 2025. The threat actors trojanized the legitimate HandyPay NFC payment application, likely using AI-generated code, to relay NFC data from victims' payment cards to attacker-controlled devices. The malware enables unauthorized ATM withdrawals and payments while also capturing and exfiltrating payment card PINs to command-and-control servers. Distribution occurs through two channels: a fake Rio de Prêmios lottery website where victims always win a rigged prize, and a fraudulent Google Play page offering a fake card protection app. Both distribution sites are hosted on the same domain. This campaign represents an evolution in NFC-based fraud, with attackers choosing to patch existing legitimate applications rather than using established malware-as-a-service offerings.

MediumMalwareBrazil#handypay trojanization#brazil targeting#ngate

A new malware campaign called EvilAI is spreading globally by disguising itself as legitimate AI-enhanced productivity tools. The malware uses AI-generated code and professional interfaces to evade detection, targeting organizations across sectors like manufacturing, government, and healthcare. It exploits Node.js to execute malicious JavaScript, establishes persistence through scheduled tasks and registry modifications, and communicates with command-and-control servers using encrypted channels. EvilAI enumerates installed software, terminates browser processes, and duplicates credential data. It employs sophisticated obfuscation and anti-analysis techniques to hinder reverse engineering. The malware acts as an initial access vector, potentially deploying additional payloads. This campaign highlights how AI is being weaponized to create increasingly stealthy and adaptive malware threats.

MediumMalwareFranceGermanyItaly+1#ai-generated code#node.js#evilai