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
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Current
SeverityCVECVSS
CRITICALGHSA-ggpf-24jw-3fcw9.8
MEDIUMGHSA-hf3c-wxg2-49q96.5
MEDIUMCVE-2025-323816.5
HIGHCVE-2024-89847.5
HIGHCVE-2024-80537.5
HIGHGHSA-hh3j-9m59-p8vc7.5
MEDIUMGHSA-564p-rx2q-4c8v6.1
MEDIUMCVE-2024-70336.5
MEDIUMCVE-2024-70346.5
HIGHGHSA-5ccf-884p-4jjq7.5
CRITICALCVE-2024-90529.8
HIGHCVE-2025-03307.5
HIGHCVE-2024-68258.8
CRITICALCVE-2023-60219.3
CRITICALCVE-2023-60199.8
MEDIUMGHSA-26jh-r8g2-6fpr5.3
LOWCVE-2024-70382.7
HIGHCVE-2026-278938.8
CRITICALCVE-2026-3366010.0
LOWCVE-2026-49933.3

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