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
LOWCVE-2025-53203.7
CRITICALCVE-2024-411149.8
CRITICALCVE-2024-411199.8
UNKNOWNCVE-2024-4897-
HIGHCVE-2020-289757.5
HIGHCVE-2024-435988.1
CRITICALCVE-2024-291210.0
HIGHCVE-2024-90567.5
CRITICALCVE-2024-90709.8
CRITICALCVE-2025-275209.8
CRITICALCVE-2025-323759.8
CRITICALCVE-2025-543819.9
MEDIUMCVE-2026-241236.5
HIGHCVE-2024-101887.5
UNKNOWNCVE-2025-11203-
MEDIUMCVE-2026-308866.5
HIGHCVE-2026-250487.5
HIGHGHSA-wccx-j62j-r448-
MEDIUMCVE-2026-274825.9
MEDIUMCVE-2026-17785.9

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