AI Component

Inference

Inference servers are the most actively-exploited component of the AI stack because they sit between the model and the public internet and they hold the GPU. The shape of the bugs is mostly web-app classes magnified by the cost of compute: missing auth on /v1 endpoints, SSRF that escapes the sandbox onto the platform's control plane, unsafe deserialization on model-loading paths, and path traversal in artifact-management endpoints. vLLM, Triton, TGI, BentoML, Ray Serve, and Ollama have each shipped multiple high-severity CVEs since 2023; CVE-2024-11041 in vLLM was a notable example combining prompt injection with code execution. Multi-tenant deployments are particularly exposed because a single bug typically crosses tenant boundaries. Defenses: aggressive patching, mandatory auth, network segmentation between inference and control plane, and per-tenant resource quotas to bound abuse.

938
Total CVEs
47
Pages
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Current
SeverityCVECVSS
MEDIUMCVE-2025-489426.5
MEDIUMCVE-2025-489436.5
MEDIUMCVE-2025-489446.5
HIGHCVE-2025-489567.5
HIGHCVE-2025-594257.5
HIGHCVE-2025-62427.1
MEDIUMCVE-2025-623726.5
MEDIUMCVE-2025-624266.5
HIGHCVE-2025-664488.8
HIGHCVE-2026-227737.5
CRITICALCVE-2026-228079.8
HIGHCVE-2026-247797.1
CRITICALCVE-2026-227789.8
MEDIUMCVE-2024-282246.6
HIGHCVE-2024-370328.8
HIGHCVE-2024-454367.5
HIGHCVE-2024-397197.5
HIGHCVE-2024-397208.2
HIGHCVE-2024-397217.5
HIGHCVE-2024-397227.5

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