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-2026-797855.9
LOWCVE-2026-98052.7
HIGHCVE-2026-616177.7
UNKNOWNCVE-2026-65956-
UNKNOWNCVE-2026-69129-
HIGHCVE-2026-478527.5
CRITICALCVE-2026-370049.8
MEDIUMCVE-2026-183935.4
HIGHCVE-2026-372377.5
HIGHCVE-2026-556388.6
HIGHCVE-2026-822887.5
MEDIUMCVE-2026-843776.5
HIGHCVE-2021-384898.2
MEDIUMCVE-2021-436136.5
MEDIUMCVE-2021-436146.7
HIGHCVE-2026-851807.5
HIGHCVE-2026-856737.5
HIGHCVE-2026-856867.5
MEDIUMCVE-2026-856706.5
HIGHCVE-2026-759147.5

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