PoeLLM malware infects exposed AI servers in cryptomining attacks
A cryptomining campaign targeting exposed AI services is using PoeLLM malware to turn compromised servers into scanners and exploit launchpads. [...]
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When AI infrastructure becomes the target: Securing gateways and control points
In this article AI workloads are becoming high-value control pointsCase study 1: LiteLLM gateway compromiseCase study 2: RAGFlow compromiseCase study 3: Kestra compromiseMitigation and protection guidanceMITRE ATT&CK techniques observedReferencesLearn more AI is creating a new layer of enterprise infrastructure. Gateways, retrieval platforms, orchestration services, and containerized runtimes now sit between users, applications, data, and models. These systems concentrate credentials, data…
KEV ✓ EPSS 0.93 CVE-2026-42271 CVE-2026-48710 CVE-2026-49869 LiteLLM RAGFlow Kestra US