What’s Vulnerable › Vulnerabilities
CVE-2023-25669: TensorFlow has Floating Point Exception in AvgPoolGrad with XLA
- Severity: high (CVSS 7.5 v3.1)
- Exploited in the wild: not listed in CISA KEV
- EPSS: 0.4% probability of exploitation in the next 30 days
- Public exploit or detection template: none known
- Published: 2023-03-25 · updated 2026-06-17
- Weakness: CWE-697
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.
Affected products
- tensorflow: before 2.12.0 — fixed in 2.12.0
How to fix
Upgrade to a fixed version: tensorflow 2.12.0. Check the vendor advisory for mitigations.
References
- https://github.com/tensorflow/tensorflow/commit/1295ae4dbb52fe06b19733b0257e2340d7b63b8d
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-rcf8-g8jv-vg6p
- https://github.com/tensorflow/tensorflow/commit/1295ae4dbb52fe06b19733b0257e2340d7b63b8d
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-rcf8-g8jv-vg6p
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