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.

1914
Total CVEs
96
Pages
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Current
Severity CVE CVSS
LOW CVE-2025-46570 2.6
HIGH CVE-2025-46722 7.3
MEDIUM CVE-2025-48887 6.5
MEDIUM CVE-2025-48943 6.5
MEDIUM CVE-2025-48944 6.5
HIGH CVE-2025-48956 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
HIGH CVE-2024-37032 8.8
HIGH CVE-2024-45436 7.5
HIGH CVE-2024-39720 8.2
HIGH CVE-2024-39721 7.5
HIGH CVE-2024-12055 7.5
HIGH CVE-2024-8063 7.5

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