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-2026-11178.2
HIGHCVE-2026-22607-
HIGHGHSA-mcmc-2m55-j8jj8.8
HIGHCVE-2025-677298.8
LOWCVE-2025-63681-
CRITICALCVE-2025-34351-
HIGHCVE-2025-644967.3
MEDIUMCVE-2025-616206.5
MEDIUMCVE-2026-334016.5
HIGHCVE-2025-304028.1
CRITICALCVE-2023-480229.8
MEDIUMCVE-2025-58446-
HIGHCVE-2025-578097.5
HIGHCVE-2025-91418.8
CRITICALCVE-2025-549509.8
CRITICALCVE-2025-549519.8
CRITICALCVE-2025-304059.8
CRITICALCVE-2025-304049.8
MEDIUMCVE-2025-54952-
MEDIUMGHSA-j828-28rj-hfhp4.3

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