← Back
MalwareUnit 42·1 week ago

The Permanent Threat: Analyzing Aeternum’s Blockchain-Based C2 Operations and Communications

Unit 42 has published an analysis of the Aeternum botnet loader, which uses Polygon blockchain smart contracts to establish decentralized command-and-control infrastructure and execute payloads. This approach represents an evolution in botnet evasion tactics, leveraging blockchain technology to distribute and maintain C2 operations outside traditional network chokepoints. The analysis examines how Aeternum's architecture enables resilient malware communications through on-chain smart contracts.

Read full article at Unit 42

Related Articles

MalwareSecurityWeek·1 day ago

Banking Trojans Manic, Grandoreiro, ToxicPanda 2.0 in the Spotlight

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.

MalwareInfosecurity Magazine·2 days ago

New Agent Tesla Malware Variant Boosts Evasion Capabilities

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.

MalwareHelp Net Security·2 days ago

Attackers impersonate popular AI brands to spread malware

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.