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.

698
Total CVEs
35
Pages
Page 28 of 35
Current
Severity CVE CVSS
LOW CVE-2026-7020 3.7
MEDIUM CVE-2026-7141 5.6
CRITICAL CVE-2026-42248 9.8
CRITICAL CVE-2026-42249 9.8
MEDIUM CVE-2026-7669 5.6
CRITICAL CVE-2026-7482 9.1
LOW CVE-2026-7845 2.6
MEDIUM CVE-2026-44222 6.5
MEDIUM CVE-2026-44223 6.5
HIGH CVE-2026-42203 8.8
CRITICAL CVE-2026-42208 9.8
HIGH CVE-2026-42271 8.8
MEDIUM CVE-2026-44563 5.4
HIGH CVE-2026-44556 7.1
HIGH CVE-2026-44555 7.6
HIGH CVE-2026-44566 7.3
HIGH CVE-2026-44567 7.3
MEDIUM CVE-2026-44568 4.8
HIGH CVE-2026-44346 8.8
HIGH CVE-2026-44565 8.1

Page 28 of 35