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APT36 Uses USB-Spreading Malware to Reach Air-Gapped Government Networks

Zscaler attributes the RapidRust campaign by Pakistan-linked APT36 to USB-propagating Rust malware targeting air-gapped government networks in India and Afghanistan.

Zscaler identified in August 2026 a campaign tracked as RapidRust in which APT36 uses infected removable drives to reach air-gapped government environments in India and Afghanistan. RUSTYMOVE, a Rust USB-spreading utility, copies a fake-PDF shortcut and the RUSTYSHADE backdoor to removable media; RUSTYSHADE uses attacker-controlled private GitHub repositories for C2, running shell commands, capturing screenshots and webcam images, while PSNATCH and BASHNATCH steal files. Operators enumerated users, shares, and remote administrative shares to expand beyond initial victims, with payloads staged on lookalike domains mimicking Indian media outlets and Backblaze B2 storage.

Cyber Security News · 2h agoThreat actor in the wild 3 sources

BambooToken Malware Uses MQTT to Control Windows and Linux Systems

Lumen uncovers BambooToken, a stealthy multi-platform malware using MQTT C2 and Tendyron DLL sideloading to compromise Asian and South American organizations.

Lumen Black Lotus Labs disclosed BambooToken, a previously undocumented malware family active since at least February 2023 that controls Windows and (since December 2025) Linux hosts via the MQTT protocol for C2. The malware sideloads a rogue OnKeyToken_KEB.dll via Tendyron's OnKey PKI token software, gathers host details, and uses a WMI-based plugin to enumerate installed antivirus products and exfiltrate them to C2 domains proxied through Cloudflare. A dozen compromised entities were detected across Asia and South America, and DLL sideloading plus SoftEther VPN usage suggests a China nexus.

The Hacker News · 1d agoMalware in the wild 2 sources

Cognition launches new SWE-2 model, Rivaling Fable 5.1 and GPT-Astra

Cognition released SWE-2, a coding model post-trained from Kimi K3 that scores 50.0% on FrontierCode 1.1 Main, near Fable 5.1 at 64% lower cost.

Cognition introduced SWE-2, its most advanced coding model, post-trained from the 2.8T-parameter Kimi K3 base model. It achieves 50.0% on FrontierCode 1.1 Main, 73.0% on DeepSWE 1.1, and 92.8% on Terminal-Bench 2.1, beating Grok 4.6 and SWE-1.7 while matching Fable 5.1 and GPT-5.6 Sol at a fraction of the price. The company says it scaled reinforcement learning to the multi-trillion-parameter regime for the first time, using Pareto-informed cost penalties that train all reasoning-effort levels in a single run, tripled RL environments, and NVFP4/FP8 quantization-aware training. SWE-2 is available today in Devin Desktop and CLI, with rollout on Devin Web and Fusion.

Hacker News · AIupdated · 4h agofirst · 6d agoModel release 11 sourcesHN 58↑ · 15 comments2