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MalwaremediumExploited in the wild

BambooToken malware controls Windows and Linux systems via MQTT

BleepingComputerby Bill Toulas ()2 min read2
AI summary · glm-5.3Summaries by Vani AI

Lumen Black Lotus Labs exposes BambooToken, a China-aligned malware framework using MQTT C2 to backdoor Windows and Linux systems at roughly a dozen enterprises.

Lumen's Black Lotus Labs documented BambooToken, a previously unknown malware framework active since at least 2023 that adopted MQTT for command-and-control in 2024-2025 variants targeting Windows and Linux. Infection occurs via DLL side-loading through digitally signed Tendyron OnKey USB-token software or an impersonated Kingsoft Office installer; dead code suggests keylogging, clipboard theft, audio/webcam capture, and screenshot modules. Telemetry identified roughly a dozen compromised entities, mostly in Asia and South America, including a Hong Kong GitLab server and possibly users of the SpeedCN VPN service. Targeting patterns are consistent with China-aligned operations, though no attribution to a known cluster was made.

Key facts
  • Active since at least 2023; MQTT-based C2 adopted in 2024-2025 variants
  • Infects via DLL side-loading of signed Tendyron OnKey software or fake Kingsoft Office
  • Linux variant 2.1 observed December 2025; supports file transfer and command shell
  • About a dozen victims across Asia and South America, including hotels, law firms, GitLab server
  • No attribution, but targeting consistent with China-aligned operations
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From the original article

2 min read at bleepingcomputer.com

A previously unknown malware framework called BambooToken, active since at least 2023, is now using the Message Queuing Telemetry Transport (MQTT) protocol to communicate with Windows and Linux systems. [...]

BleepingComputer

By Bill Toulas · bleepingcomputer.com

Read the full article at BleepingComputer

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.