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
Page 19 of 47
Current
SeverityCVECVSS
HIGHCVE-2025-555527.5
HIGHCVE-2025-555537.5
MEDIUMCVE-2025-555545.3
HIGHCVE-2025-555587.5
HIGHCVE-2025-555607.5
HIGHCVE-2025-621648.8
MEDIUMCVE-2025-297706.5
MEDIUMCVE-2025-262656.5
CRITICALCVE-2025-5376710.0
HIGHCVE-2025-658057.5
HIGHCVE-2025-667867.5
HIGHCVE-2021-438317.7
HIGHCVE-2022-247708.8
CRITICALCVE-2023-258239.8
HIGHCVE-2023-514497.5
CRITICALCVE-2024-343599.6
UNKNOWNCVE-2024-4181-
HIGHCVE-2025-488897.5
UNKNOWNCVE-2024-3924-
HIGHCVE-2025-243578.8

Page 19 of 47