Vulnerability · Published Mar 24, 2023 · Assigned by GitHub_M
CVE-2023-25669TensorFlow has Floating Point Exception in AvgPoolGrad with XLA
High 7.5
In plain English
A high-severity security flaw in tensorflow from tensorflow. There are no confirmed reports of exploitation so far. The chance it is exploited in the next 30 days is estimated at 0.4% (higher than 34% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.
Severity (CVSS 3.1)7.5High
Exploit odds (30 days)0.4%top 66.2% of all CVEs
Exploited in the wildNo reportsCISA SSVC: none
Attack toolingNoneno public tooling known
Official 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 packages & fixed versions
| Ecosystem | Package | Fixed in | Advisory |
|---|---|---|---|
| PyPI | tensorflow | 2.11.1 | GHSA-rcf8-g8jv-vg6p |
| PyPI | tensorflow | 2.11.1 | PYSEC-2026-3236 |
| PyPI | tensorflow-cpu | 2.11.1 | GHSA-rcf8-g8jv-vg6p |
| PyPI | tensorflow-cpu | 2.11.1 | PYSEC-2026-3366 |
| PyPI | tensorflow-gpu | 2.11.1 | GHSA-rcf8-g8jv-vg6p |
| PyPI | tensorflow-gpu | 2.11.1 | PYSEC-2026-1964 |
Affected products (as reported)
| Vendor | Product | Versions |
|---|---|---|
| tensorflow | tensorflow | < 2.11.1 |
Weakness: CWE-697 · Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H