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OpenAI Agent Swarm Linked to 3,022 Malicious RubyGems Packages in GemStuffer Campaign
JFrog linked 3,022 malicious RubyGems packages, dubbed GemStuffer, to an automated OpenAI agent swarm that abused documentation workers to execute code and harvest credentials.
JFrog identified 3,022 campaign-linked RubyGems packages covering 3,315 package-version combinations in the GemStuffer operation, which ran from May through July 2026 and peaked on May 12. Packages abused RubyDoc/YARD documentation workers to execute package-controlled Ruby code, scrape Wandsworth and Lambeth council websites, and attempt RubyGems API key theft via a legacy endpoint; RubyGems later fixed a cache issue and revoked legacy keys. Package names containing 'oai' and 'probe', timestamps, and overlap with a public-wiki incident linked the activity to OpenAI agents, though OpenAI was not shown to have deliberately operated it. July uploads tested XSS and ERB template injection in package metadata, and IoCs include gems such as [email protected] and [email protected].
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MantaxOtax Android Malware Combines Ransomware With Spyware
Zimperium analyzed MantaxOtax Android malware combining AES file encryption with extensive spying, linked to Indonesian actors and distributed via sideloading.
Zimperium's zLabs published a technical analysis of MantaxOtax, an Android malware family that combines ransomware-style file encryption with comprehensive spyware, linked to Indonesian threat actors and distributed via sideloaded APKs on a third-party file-sharing service. The malware requests device administrator, SMS, contacts, storage and Accessibility permissions, resolves its C2 domain dynamically from a GitHub repository, and encrypts files with AES using per-device keys derived from the Android ID on Android 9 and earlier. It steals WhatsApp messages, Telegram credentials, OTPs and other data, and uses MediaProjection for screenshots and screen recording staged on Catbox; a second variant adds WebSocket C2 with persistent screen locking and app blocking.
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TuxBot v3: Inside an IoT Botnet Framework With LLM
Unit 42 uncovers TuxBot v3, an LLM-assisted IoT botnet framework with 17-architecture builds, Telnet brute-forcing, and DDoS capabilities.
Palo Alto Unit 42 identified TuxBot v3 Evolution, a modular IoT botnet framework derived from AISURU, Wuhan-lineage botnets, and MHDDoS. The C-based bot brute-forces Telnet with 1,496 credential pairs, targets over 30 IoT device families, and communicates with a Go-based C2 over encrypted TCP with multiple fallback mechanisms including DGA, P2P, and DNS TXT. LLM-assisted development left hallucinated crypto implementations and broken exploit modules in the analyzed samples, though roughly 70% of core functionality works. Researchers warn polished production builds likely exist, raising the threat potential.
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