AI Component

Framework

AI/ML frameworks sit at the bottom of every AI stack — virtually every production AI system depends transitively on PyTorch or TensorFlow at the training layer, and on LangChain, LlamaIndex, or a similar orchestrator at the application layer. That concentration means a single vulnerability often affects tens of thousands of downstream services. The CVE patterns are recognisable: unsafe deserialization in model loading (the long tail of pickle), template injection in LangChain's prompt-construction utilities, SSRF in LlamaIndex's data-loader connectors, and path traversal in MLflow's experiment storage. PyTorch itself has shipped several high-severity CVEs around its distributed RPC layer. Because these libraries upgrade frequently and downstream applications pin loosely, patching is a real operational problem. AI Threat Alert tracks framework-level CVEs prominently because a single advisory often means urgent work for hundreds of teams.

1907
Total CVEs
96
Pages
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Current
Severity CVE CVSS
UNKNOWN CVE-2024-4181 -
HIGH CVE-2025-23042 7.5
HIGH CVE-2025-48889 7.5
HIGH CVE-2025-6921 7.5
CRITICAL CVE-2025-62608 9.1
HIGH CVE-2025-62609 7.5
HIGH CVE-2022-0736 7.5
LOW CVE-2023-1176 3.3
CRITICAL CVE-2023-1177 9.8
HIGH CVE-2023-2356 7.5
HIGH CVE-2023-30172 7.5
CRITICAL CVE-2023-2780 9.8
CRITICAL CVE-2023-3765 10.0
HIGH CVE-2023-4033 7.8
HIGH CVE-2023-6015 7.5
CRITICAL CVE-2023-6018 9.8
CRITICAL CVE-2023-6014 9.8
HIGH CVE-2023-43472 7.5
MEDIUM CVE-2023-6568 6.1
HIGH CVE-2023-6709 8.8

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