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Cybersecurity researchers have discovered a new iteration of an Android malware family called NGate that has been found to abuse a legitimate application called HandyPay instead of NFCGate
Cybersecurity researchers have disclosed details of a new fully-featured Windows backdoor called NANOREMOTE that uses the Google Drive API for command-and-control (C2) purposes
Data exfiltration was the most common malware in Sonatype report, with more than 4,400 packages designed to steal secrets, personally identifiable information, credentials, and API tokens.
OpenAI boots accounts linked to 10 malicious campaigns Fake IT workers possibly linked to North Korea, Beijing-backed cyber operatives, and Russian malware slingers are among the baddies using ChatGPT for evil, according to OpenAI's latest threat report.…
Mandiant Says Malware Spread Through Fake AI Video Ads Seen by MillionsOnline scammers are converting excitement over generative artificial intelligence into fraudulent sites that infect victims with malware, says threat intel firm Google Mandiant in a report exposing a year-long campaign to distribute infostealers and backdoors.
Credential theft surged 3× in a year—but AI-powered malware? More hype than reality. The Red Report 2025 by Picus Labs reveals attackers still rely on proven tactics like stealth & automation to execute the "perfect heist." [...]
Is AI really reshaping the cyber threat landscape, or is the constant drumbeat of hype drowning out actual, more tangible, real-world dangers? According to Picus Labs’ Red Report 2025 which analyzed over one million malware samples, there's been no significant surge, so far, in AI-driven attacks. Yes, adversaries are definitely continuing to innovate, and while AI will certainly start playing a
A UN report found that organized crime groups in the region have rapidly integrated malware, generative AI and deepfakes to enhance their fraud activities
Threat actors have been increasingly weaponizing Microsoft Graph API for malicious purposes with the aim of evading detection
Large language models (LLMs) powering artificial intelligence (AI) tools today could be exploited to develop self-augmenting malware capable of bypassing YARA rules
A new malware strain known as BundleBot has been stealthily operating under the radar by taking advantage of .NET single-file deployment techniques, enabling threat actors to capture sensitive information from compromised hosts