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 42 of 47
Current
SeverityCVECVSS
MEDIUMCVE-2026-571736.5
MEDIUMCVE-2026-691476.5
HIGHCVE-2026-927628.8
HIGHCVE-2026-929717.5
HIGHCVE-2026-929837.5
HIGHCVE-2026-929257.1
HIGHCVE-2026-934367.5
HIGHCVE-2026-935927.5
HIGHCVE-2026-336258.8
CRITICALCVE-2025-664559.8
HIGHGHSA-39wr-7q6h-cf687.5
MEDIUMCVE-2026-938405.3
MEDIUMCVE-2026-938415.3
MEDIUMCVE-2026-939894.3
MEDIUMCVE-2026-598164.3
HIGHCVE-2026-946267.5
HIGHCVE-2026-946227.5
HIGHCVE-2026-946237.5
HIGHCVE-2026-946247.5
MEDIUMCVE-2026-946255.3

Page 42 of 47