MediumVulnerability
CVE-2022-41884: TensorFlow numpy array creation error with zero-sized shape element
- Source
- NVD(opens in a new tab)
- Identifier
- CVE-2022-41884
- Published
- Record updated
- Affected
- tensorflow < 2.8.4, fixed in 2.8.4, released November 16, 2022, 3 days before disclosure
- tensorflow >= 2.9.0, < 2.9.3, fixed in 2.9.3, released November 16, 2022, 3 days before disclosure
- tensorflow >= 2.10.0, < 2.10.1, fixed in 2.10.1, released November 16, 2022, 3 days before disclosure
- and 6 more
- Known exploitation
- Not listed in the CISA Known Exploited Vulnerabilities catalog at the last check.
- EPSS
- 0.4%
Summary
CVE-2022-41884 affects TensorFlow, an open source machine learning platform. When a numpy array is created with a shape where one element is zero and the others sum to a large number, TensorFlow raises an error.
Mitigation
The issue is patched in GitHub commit 2b56169c16e375c521a3bc8ea658811cc0793784. The fix will be included in TensorFlow 2.11, and the commit will also be cherry-picked onto TensorFlow 2.10.1, 2.9.3, and 2.8.4.
Affected packages in the Exposure Registry
Matched by package name and ecosystem. Each entry shows whether the package delegates to a language model and how many tracked packages depend on it.
- tensorflowPyPINo LLM dependency detected · 26 tracked dependents
- tensorflow-gpuPyPINo LLM dependency detected · 2 tracked dependents
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