High severityNVD Advisory· Published Mar 24, 2023· Updated Feb 19, 2025
TensorFlow has Floating Point Exception in AvgPoolGrad with XLA
CVE-2023-25669
Description
TensorFlow is an open source platform for machine learning. Prior to versions 2.12.0 and 2.11.1, if the stride and window size are not positive for tf.raw_ops.AvgPoolGrad, it can give a floating point exception. A fix is included in TensorFlow version 2.12.0 and version 2.11.1.
AI Insight
LLM-synthesized narrative grounded in this CVE's description and references.
Affected packages
Versions sourced from the GitHub Security Advisory.
| Package | Affected versions | Patched versions |
|---|---|---|
tensorflowPyPI | < 2.11.1 | 2.11.1 |
tensorflow-cpuPyPI | < 2.11.1 | 2.11.1 |
tensorflow-gpuPyPI | < 2.11.1 | 2.11.1 |
Affected products
5- osv-coords4 versions
< 2.12.0+ 3 more
- (no CPE)range: < 2.12.0
- (no CPE)range: < 2.11.1
- (no CPE)range: < 2.11.1
- (no CPE)range: < 2.11.1
- Range: < 2.11.1
Patches
Vulnerability mechanics
References
4- github.com/advisories/GHSA-rcf8-g8jv-vg6pghsaADVISORY
- nvd.nist.gov/vuln/detail/CVE-2023-25669ghsaADVISORY
- github.com/tensorflow/tensorflow/commit/1295ae4dbb52fe06b19733b0257e2340d7b63b8dghsax_refsource_MISCWEB
- github.com/tensorflow/tensorflow/security/advisories/GHSA-rcf8-g8jv-vg6pghsax_refsource_CONFIRMWEB
News mentions
0No linked articles in our index yet.