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
HIGHCVE-2026-161187.1
MEDIUMCVE-2026-580116.5
HIGHCVE-2026-580147.3
MEDIUMCVE-2026-580155.9
LOWCVE-2025-61702.5
HIGHGHSA-cjcg-cxmh-9wcr7.5
MEDIUMCVE-2026-1057585.3
MEDIUMCVE-2026-1057605.3
MEDIUMCVE-2026-1057546.5
MEDIUMCVE-2026-1057576.5
MEDIUMCVE-2026-1057554.2
MEDIUMCVE-2026-1057566.5
LOWCVE-2026-1057523.1
MEDIUMCVE-2026-1057536.5
HIGHCVE-2026-1057597.5
MEDIUMCVE-2026-1057754.3
MEDIUMCVE-2026-1059224.3
UNKNOWNCVE-2026-103663-
HIGHGHSA-6gcq-wc29-5xf27.5
UNKNOWNCVE-2022-23957-

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