HighVulnerability
CVE-2022-23573: Tensorflow AssignOp copies uninitialized data to a new tensor
- Source
- NVD(opens in a new tab)
- Identifier
- CVE-2022-23573
- Published
- Record updated
- Affected
- tensorflow < 2.5.3, fixed in 2.5.3, released February 2, 2022, 3 days before disclosure
- tensorflow >= 2.6.0, < 2.6.3, fixed in 2.6.3, released February 2, 2022, 3 days before disclosure
- tensorflow = 2.7.0, fixed in 2.7.1, released February 2, 2022, 3 days before disclosure
- and 6 more
- Known exploitation
- Not listed in the CISA Known Exploited Vulnerabilities catalog at the last check.
- EPSS
- 0.8%
Summary
CVE-2022-23573 affects TensorFlow, an open source machine learning framework. The implementation of `AssignOp` can copy uninitialized data into a new tensor, which later leads to undefined behavior. The check covers only the left-hand side of the assignment, not the right-hand side.
Mitigation
The fix will be included in TensorFlow 2.8.0. The commit will also be cherry-picked to TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3.
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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