Mar 20, 2025Ravie LakshmananMalware / Threat Analysis YouTube videos promoting game cheats are being used to deliver a previously undocumented stealer malware called Arcane likely targeting Russian-speaking users. "What's intriguing about this malware is how much it collects," Kaspersky said in an analysis. "It grabs account information from VPN and gaming clients, and all … [Read more...] about YouTube Game Cheats Spread Arcane Stealer Malware to Russian-Speaking Users
Malware
Next-Generation Malware Classification Using Binary Transformers
CrowdStrike researchers have developed a next-gen method to train byte-based Transformer blocks that help models “understand” malware files rather than rely on detecting the presence of markersDuring testing, Binary Transformers significantly outperformed traditionally trained models in differentiating between benign and malicious code samplesThe results demonstrate the … [Read more...] about Next-Generation Malware Classification Using Binary Transformers
Silver Fox APT Uses Winos 4.0 Malware in Cyber Attacks Against Taiwanese Organizations
Feb 27, 2025Ravie LakshmananMalware / Threat Intelligence A new campaign is targeting companies in Taiwan with malware known as Winos 4.0 as part of phishing emails masquerading as the country's National Taxation Bureau. The campaign, detected last month by Fortinet FortiGuard Labs, marks a departure from previous attack chains that have leveraged malicious game-related … [Read more...] about Silver Fox APT Uses Winos 4.0 Malware in Cyber Attacks Against Taiwanese Organizations
New Malware Campaign Uses Cracked Software to Spread Lumma and ACR Stealer
Feb 24, 2025Ravie LakshmananEndpoint Security / Vulnerability Cybersecurity researchers are warning of a new campaign that leverages cracked versions of software as a lure to distribute information stealers like Lumma and ACR Stealer. The AhnLab Security Intelligence Center (ASEC) said it has observed a spike in the distribution volume of ACR Stealer since January 2025. A … [Read more...] about New Malware Campaign Uses Cracked Software to Spread Lumma and ACR Stealer
North Korean Hackers Target Freelance Developers in Job Scam to Deploy Malware
Freelance software developers are the target of an ongoing campaign that leverages job interview-themed lures to deliver cross-platform malware families known as BeaverTail and InvisibleFerret. The activity, linked to North Korea, has been codenamed DeceptiveDevelopment, which overlaps with clusters tracked under the names Contagious Interview (aka CL-STA-0240), DEV#POPPER, … [Read more...] about North Korean Hackers Target Freelance Developers in Job Scam to Deploy Malware
Microsoft Uncovers New XCSSET macOS Malware Variant with Advanced Obfuscation Tactics
Feb 17, 2025Ravie LakshmananEndpoint Security / Malware Microsoft said it has discovered a new variant of a known Apple macOS malware called XCSSET as part of limited attacks in the wild. "Its first known variant since 2022, this latest XCSSET malware features enhanced obfuscation methods, updated persistence mechanisms, and new infection strategies," the Microsoft Threat … [Read more...] about Microsoft Uncovers New XCSSET macOS Malware Variant with Advanced Obfuscation Tactics
Fake Google Chrome Sites Distribute ValleyRAT Malware via DLL Hijacking
Feb 06, 2025Ravie LakshmananCyber Attack / Malware Bogus websites advertising Google Chrome have been used to distribute malicious installers for a remote access trojan called ValleyRAT. The malware, first detected in 2023, is attributed to a threat actor tracked as Silver Fox, with prior attack campaigns primarily targeting Chinese-speaking regions like Hong Kong, Taiwan, … [Read more...] about Fake Google Chrome Sites Distribute ValleyRAT Malware via DLL Hijacking
Researchers Explore Contrastive Learning for Malware Detection
CrowdStrike research shows that contrastive learning improves supervised machine learning results for PE (Portable Executable) malwareApplying self-supervised learning to PE files enhances the effectiveness of machine learning in cybersecurity, which is crucial to address the evolving threat landscapeCrowdStrike researchers engineered a novel loss function to optimize … [Read more...] about Researchers Explore Contrastive Learning for Malware Detection
North Korean Hackers Deploy OtterCookie Malware in Contagious Interview Campaign
Dec 27, 2024Ravie LakshmananCryptocurrency / Cyber Espionage North Korean threat actors behind the ongoing Contagious Interview campaign have been observed dropping a new JavaScript malware called OtterCookie. Contagious Interview (aka DeceptiveDevelopment) refers to a persistent attack campaign that employs social engineering lures, with the hacking crew often posing as … [Read more...] about North Korean Hackers Deploy OtterCookie Malware in Contagious Interview Campaign
AI Could Generate 10,000 Malware Variants, Evading Detection in 88% of Case
Dec 23, 2024Ravie LakshmananMachine Learning / Threat Analysis Cybersecurity researchers have found that it's possible to use large language models (LLMs) to generate new variants of malicious JavaScript code at scale in a manner that can better evade detection. "Although LLMs struggle to create malware from scratch, criminals can easily use them to rewrite or obfuscate … [Read more...] about AI Could Generate 10,000 Malware Variants, Evading Detection in 88% of Case