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.

699
Total CVEs
35
Pages
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Current
Severity CVE CVSS
CRITICAL CVE-2026-2586 9.1
LOW CVE-2026-11329 3.6
HIGH CVE-2026-46309 7.0
HIGH CVE-2026-32981 7.5
MEDIUM CVE-2026-47155 6.5
CRITICAL CVE-2026-46703 9.6
HIGH CVE-2026-5497 7.5
MEDIUM CVE-2026-10127 6.3
MEDIUM CVE-2026-10166 6.3
MEDIUM CVE-2019-6576 6.5
CRITICAL CVE-2024-6878 -
CRITICAL CVE-2024-5960 9.8
CRITICAL CVE-2024-5958 -
LOW CVE-2026-10813 3.6
HIGH CVE-2026-4424 7.5
HIGH CVE-2026-5121 7.5
HIGH CVE-2023-52356 7.5
MEDIUM CVE-2025-14831 5.3
HIGH CVE-2026-4111 7.5
HIGH CVE-2026-5201 7.5

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