HighVulnerability
CVE-2023-25669: TensorFlow AvgPoolGrad floating point exception from bad stride
- Source
- NVD(opens in a new tab)
- Identifier
- CVE-2023-25669
- Published
- Record updated
- Affected
- tensorflow < 2.11.1
- tensorflow-cpu < 2.11.1
- tensorflow-gpu < 2.11.1
- Fixed in
- 2.11.1
- tensorflow 2.11.1 released March 20, 2023, 5 days before disclosure
- tensorflow-cpu 2.11.1 released March 20, 2023, 5 days before disclosure
- Known exploitation
- Not listed in the CISA Known Exploited Vulnerabilities catalog at the last check.
- EPSS
- 0.4%
Summary
CVE-2023-25669 affects TensorFlow versions prior to 2.12.0 and 2.11.1. When the stride and window size are not positive for `tf.raw_ops.AvgPoolGrad`, the function can raise a floating point exception. The weakness is classified as CWE-697, Incorrect Comparison.
Mitigation
A fix is included in TensorFlow version 2.12.0 and version 2.11.1.
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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