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@3pinonline: #wirlesscontroller #Bluetoothcontroller #phonecontroller #phonejoystick #controller

3PIN SDN. BHD.
3PIN SDN. BHD.
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Saturday 19 September 2026 01:02:43 GMT
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Cybersecurity researchers from SentinelOne and Censys have uncovered a massive
Cybersecurity researchers from SentinelOne and Censys have uncovered a massive "Shadow AI" crisis, identifying 175,000 publicly exposed Ollama servers worldwide. These instances, which allow users to run powerful large language models locally, have been inadvertently opened to the internet due to misconfigurations—specifically by changing the bind address to 0.0.0.0 without adding any authentication layers. This has created a vast, unmanaged layer of AI compute infrastructure that is now being systematically exploited by bad actors. The primary risk identified is a new trend called "LLMjacking." Threat actors, including one known as "Hecker," are using automated scanners to find these open servers, validate their quality, and resell access to them at discounted rates on criminal marketplaces. Since nearly 50% of these exposed hosts have "tool-calling" capabilities enabled, attackers can do more than just generate text; they can potentially execute code, interact with internal APIs, and use the victim's hardware to facilitate large-scale phishing or disinformation campaigns. For engineers and AI hobbyists, the takeaway is clear: local AI is only secure if it stays local. If you must access your Ollama instance remotely, it is critical to use a VPN, a reverse proxy with Basic Auth, or a secure tunnel. Implementing real-time observability is also vital for detecting unauthorized resource consumption. By monitoring your logs and traffic patterns, you can identify if your server has been co-opted into an LLMjacking network before the computational costs and security risks spiral out of control. #Ollama #CyberSecurity #AIIsecurity #LLMjacking #TechNews #SentinelOne #BetterEngineer #BetterStack #DevOps #CloudSecurity #ArtificialIntelligence #Infosec

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