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-2026-235367.5
HIGHCVE-2025-713638.1
HIGHCVE-2026-454998.8
HIGHCVE-2026-562087.6
HIGHCVE-2026-562107.1
HIGHCVE-2026-562117.1
HIGHCVE-2026-562097.1
HIGHCVE-2025-713428.1
HIGHCVE-2025-713458.1
LOWCVE-2026-147383.7
MEDIUMCVE-2026-402575.5
HIGHCVE-2026-420107.1
HIGHCVE-2026-338467.5
HIGHCVE-2026-420097.5
HIGHCVE-2026-338457.5
MEDIUMCVE-2026-556466.5
HIGHCVE-2026-542347.5
MEDIUMCVE-2026-555146.5
HIGHCVE-2026-555747.5
MEDIUMCVE-2026-150446.3

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