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
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Current
Severity CVE CVSS
MEDIUM CVE-2025-48942 6.5
MEDIUM CVE-2025-48943 6.5
MEDIUM CVE-2025-48944 6.5
HIGH CVE-2025-48956 7.5
HIGH CVE-2025-59425 7.5
HIGH CVE-2025-6242 7.1
MEDIUM CVE-2025-62372 6.5
MEDIUM CVE-2025-62426 6.5
HIGH CVE-2025-66448 8.8
HIGH CVE-2026-22773 7.5
CRITICAL CVE-2026-22807 9.8
HIGH CVE-2026-24779 7.1
CRITICAL CVE-2026-22778 9.8
MEDIUM CVE-2024-28224 6.6
HIGH CVE-2024-37032 8.8
HIGH CVE-2024-45436 7.5
HIGH CVE-2024-39719 7.5
HIGH CVE-2024-39720 8.2
HIGH CVE-2024-39721 7.5
HIGH CVE-2024-39722 7.5

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