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
HIGH CVE-2026-1117 8.2
HIGH CVE-2026-22607 -
HIGH GHSA-mcmc-2m55-j8jj 8.8
HIGH CVE-2025-67729 8.8
LOW CVE-2025-63681 -
CRITICAL CVE-2025-34351 -
HIGH CVE-2025-64496 7.3
MEDIUM CVE-2025-61620 6.5
MEDIUM CVE-2026-33401 6.5
HIGH CVE-2025-30402 8.1
CRITICAL CVE-2023-48022 9.8
MEDIUM CVE-2025-58446 -
HIGH CVE-2025-57809 7.5
HIGH CVE-2025-9141 8.8
CRITICAL CVE-2025-54950 9.8
CRITICAL CVE-2025-54951 9.8
CRITICAL CVE-2025-30405 9.8
CRITICAL CVE-2025-30404 9.8
MEDIUM CVE-2025-54952 -
MEDIUM GHSA-j828-28rj-hfhp 4.3

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