CVE-2023-25669
- Source
- https://nvd.nist.gov/vuln/detail/CVE-2023-25669
- Import Source
- https://storage.googleapis.com/osv-test-cve-osv-conversion/osv-output/CVE-2023-25669.json
- JSON Data
- https://api.test.osv.dev/v1/vulns/CVE-2023-25669
- Aliases
- Published
- 2023-03-24T23:32:57Z
- Modified
- 2025-10-30T20:20:05.216762Z
- Severity
-
- 7.5 (High) CVSS_V3 - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H CVSS Calculator
- Summary
- TensorFlow has Floating Point Exception in AvgPoolGrad with XLA
- Details
-
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. - Database specific
{ "cwe_ids": [ "CWE-697" ] }- References
Affected packages
Git / github.com/tensorflow/tensorflow
Affected ranges
- Type
- GIT
- Repo
- https://github.com/tensorflow/tensorflow
- Events
-
Introduced0 Unknown introduced commit / All previous commits are affectedFixed
Affected versions
0.*
0.12.0-rc0
0.12.0-rc1
0.12.1
0.5.0
0.6.0
v0.*
v0.10.0
v0.10.0rc0
v0.11.0
v0.11.0rc0
v0.11.0rc1
v0.11.0rc2
v0.12.0
v0.7.0
v0.7.1
v0.8.0rc0
v0.9.0
v0.9.0rc0
v1.*
v1.0.0
v1.0.0-alpha
v1.0.0-rc0
v1.0.0-rc1
v1.0.0-rc2
v1.1.0
v1.1.0-rc0
v1.1.0-rc1
v1.1.0-rc2
v1.12.0
v1.12.0-rc0
v1.12.0-rc1
v1.12.0-rc2
v1.12.1
v1.2.0
v1.2.0-rc0
v1.2.0-rc1
v1.2.0-rc2
v1.3.0-rc0
v1.3.0-rc1
v1.5.0
v1.5.0-rc0
v1.5.0-rc1
v1.6.0
v1.6.0-rc0
v1.6.0-rc1
v1.7.0
v1.7.0-rc0
v1.7.0-rc1
v1.8.0
v1.8.0-rc0
v1.8.0-rc1
v1.9.0
v1.9.0-rc0
v1.9.0-rc1
v1.9.0-rc2
v2.*
v2.11.0
v2.11.0-rc0
v2.11.0-rc1
v2.11.0-rc2