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-2026-28707-
HIGHCVE-2026-64848.2
MEDIUMCVE-2026-735555.3
MEDIUMCVE-2026-735565.3
MEDIUMCVE-2026-73557-
MEDIUMCVE-2026-735585.3
MEDIUMCVE-2026-735596.5
MEDIUMCVE-2026-714864.3
MEDIUMCVE-2026-735606.5
MEDIUMGHSA-mpwr-8vm7-h73f-
MEDIUMCVE-2026-750934.3
MEDIUMCVE-2026-88106.9
CRITICALCVE-2026-768509.8
HIGHCVE-2026-777758.6
CRITICALCVE-2026-6153910.0
MEDIUMCVE-2026-452715.5
MEDIUMCVE-2026-782055.8
HIGHCVE-2026-768418.8
MEDIUMCVE-2026-786845.3
HIGHCVE-2026-797848.8

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