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.

1911
Total CVEs
96
Pages
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Current
Severity CVE CVSS
HIGH CVE-2023-6753 8.8
HIGH CVE-2023-6831 8.1
HIGH CVE-2023-6909 7.5
CRITICAL CVE-2024-27132 9.6
CRITICAL CVE-2024-27133 9.6
HIGH CVE-2024-1483 7.5
HIGH CVE-2024-1558 7.5
HIGH CVE-2024-1560 8.1
HIGH CVE-2024-1593 7.5
HIGH CVE-2024-1594 7.5
CRITICAL CVE-2024-3573 9.3
HIGH CVE-2024-3848 7.5
MEDIUM CVE-2024-4263 5.4
HIGH CVE-2024-37052 8.8
HIGH CVE-2024-37053 8.8
HIGH CVE-2024-37054 8.8
HIGH CVE-2024-37055 8.8
HIGH CVE-2024-37056 8.8
HIGH CVE-2024-37060 8.8
HIGH CVE-2024-37061 8.8

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