CVE-2023-25669

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Source
https://nvd.nist.gov/vuln/detail/CVE-2023-25669
Import Source
https://storage.googleapis.com/cve-osv-conversion/osv-output/CVE-2023-25669.json
JSON Data
https://api.osv.dev/v1/vulns/CVE-2023-25669
Aliases
Published
2023-03-24T23:32:57.394Z
Modified
2025-12-04T16:28:51.614209Z
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"
    ],
    "cna_assigner": "GitHub_M",
    "osv_generated_from": "https://github.com/CVEProject/cvelistV5/tree/main/cves/2023/25xxx/CVE-2023-25669.json"
}
References

Affected packages

Git / github.com/tensorflow/tensorflow

Affected ranges

Type
GIT
Repo
https://github.com/tensorflow/tensorflow
Events
Introduced
0 Unknown introduced commit / All previous commits are affected
Fixed
a3e2c692c18649329c4210cf8df2487d2028e267

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