BIT-tensorflow-2022-29211

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Import Source

https://github.com/bitnami/vulndb/tree/main/data/tensorflow/BIT-tensorflow-2022-29211.json

JSON Data

https://api.osv.dev/v1/vulns/BIT-tensorflow-2022-29211

Aliases

Published

2024-03-06T11:14:16.444Z

Modified

2025-05-20T10:02:07.006Z

Summary

Segfault in TensorFlow if `tf.histogram_fixed_width` is called with NaN values

Details

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of tf.histogram_fixed_width is vulnerable to a crash when the values array contain Not a Number (NaN) elements. The implementation assumes that all floating point operations are defined and then converts a floating point result to an integer index. If values contains NaN then the result of the division is still NaN and the cast to int32 would result in a crash. This only occurs on the CPU implementation. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.

Database specific

{
    "cpes": [
        "cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*"
    ],
    "severity": "Medium"
}

References

Affected packages

Bitnami / tensorflow

Package

Name: tensorflow
Purl: pkg:bitnami/tensorflow

Severity

5.5 (Medium) CVSS_V3 - CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H CVSS Calculator

Affected ranges

Type: SEMVER
Events: Introduced

0Unknown introduced version / All previous versions are affected

Fixed

2.6.4

Introduced

2.7.0

Fixed

2.7.2

Introduced

2.8.0

Fixed

2.8.1