BIT-tensorflow-2021-29580

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Import Source
https://github.com/bitnami/vulndb/tree/main/data/tensorflow/BIT-tensorflow-2021-29580.json
JSON Data
https://api.osv.dev/v1/vulns/BIT-tensorflow-2021-29580
Aliases
Published
2024-03-06T11:18:44.771Z
Modified
2025-05-20T10:02:07.006Z
Summary
Undefined behavior and `CHECK`-fail in `FractionalMaxPoolGrad`
Details

TensorFlow is an end-to-end open source platform for machine learning. The implementation of tf.raw_ops.FractionalMaxPoolGrad triggers an undefined behavior if one of the input tensors is empty. The code is also vulnerable to a denial of service attack as a CHECK condition becomes false and aborts the process. The implementation(https://github.com/tensorflow/tensorflow/blob/169054888d50ce488dfde9ca55d91d6325efbd5b/tensorflow/core/kernels/fractionalmaxpool_op.cc#L215) fails to validate that input and output tensors are not empty and are of the same rank. Each of these unchecked assumptions is responsible for the above issues. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.

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
2.1.4
Introduced
2.2.0
Fixed
2.2.3
Introduced
2.3.0
Fixed
2.3.3
Introduced
2.4.0
Fixed
2.4.2