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InformationalSplunk security contentRod Soto +2

Ollama Possible Memory Exhaustion Resource Abuse

Identifies high Ollama runner counts and large model buffer allocations as possible resource pressure indicators. Memory values vary with model size and hardware, and these operational logs do not establish malicious…

Description

Identifies high Ollama runner counts and large model buffer allocations as possible resource pressure indicators. Memory values vary with model size and hardware, and these operational logs do not establish malicious intent; validate against host capacity and workload baselines.

Detection logic

Detection requirements

Platform
ContainersIaaSLinuxmacOSWindows

The rule states no platform. This is derived from the ATT&CK technique it maps to.

Log source category
ollama_server

Known benign triggers

  • Legitimate high-volume production workloads processing multiple concurrent requests, users loading large language models (7B+ parameters) that naturally require substantial memory allocation, simultaneous multi-model deployments during system scaling, batch processing operations, or initial system startup sequences may generate similar memory allocation patterns during normal operations.

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