Adversaries are increasingly generating realistic device names that blend seamlessly into enterprise environments, making traditional detection methods based on recognizable tooling fingerprints less effective. Wiz's analysis examines how this evasion technique impacts Entra ID detection capabilities and identifies behavioral signals that can still expose rogue device join attempts. Security teams need to shift focus from naming patterns to behavioral anomalies to catch these sophisticated attacks.
Read full article at Wiz Blog ↗Plus: Apple sends out an “unprecedented” number of spyware warnings, Ukraine hits a Russian ecommerce giant with cyber and drone attacks, and more.
Three banking trojans are currently active threats: Manic, which incorporates spyware capabilities; Grandoreiro, which maintains persistent campaigns targeting victims in Latin America and Europe; and ToxicPanda 2.0, an expanded variant of the ToxicPanda malware. Security professionals should monitor these banking trojans as they demonstrate ongoing development and geographic targeting sophistication.
Researchers at KnowBe4 have identified a new variant of Agent Tesla malware employing innovative emoji-based code obfuscation techniques to bypass security detection systems. This v4 iteration represents an advancement in the malware's evasion capabilities, demonstrating attackers' ongoing efforts to stay ahead of traditional threat detection methods.
Threat actors are leveraging the popularity of AI tools by impersonating well-known brands like Perplexity, Claude, ChatGPT, and Copilot to distribute malware including information stealers, backdoors, and malicious browser extensions. According to Sophs' analysis of 12 months of managed detection and response cases, 34 confirmed instances of malicious AI-related activity were identified, demonstrating the effectiveness of AI brand impersonation as a social engineering vector.