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.

700
Total CVEs
35
Pages
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Current
Severity CVE CVSS
HIGH CVE-2026-45499 8.8
HIGH CVE-2026-56208 7.6
HIGH CVE-2026-56210 7.1
HIGH CVE-2026-56211 7.1
HIGH CVE-2026-56209 7.1
HIGH CVE-2025-71342 8.1
HIGH CVE-2025-71345 8.1
LOW CVE-2026-14738 3.7
MEDIUM CVE-2026-40257 5.5
HIGH CVE-2026-42010 7.1
HIGH CVE-2026-33846 7.5
HIGH CVE-2026-42009 7.5
HIGH CVE-2026-33845 7.5
HIGH CVE-2026-54234 7.5
MEDIUM CVE-2026-55514 6.5
HIGH CVE-2026-55574 7.5
MEDIUM CVE-2026-15044 6.3
HIGH CVE-2026-15035 7.8
MEDIUM CVE-2026-59225 5.4
MEDIUM CVE-2026-8595 6.8

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