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CVE-2021-29580

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CVE-2021-29580

Published: May 14, 2021

Modified: Aug 3, 2024

PUBLISHED

CVSS v3.1

2.5

LOW

Description

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/fractional_max_pool_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.

VendorProductVersions

tensorflow

tensorflow

affected
< 2.1.4
affected
>= 2.2.0, < 2.2.3
affected
>= 2.3.0, < 2.3.3
affected
>= 2.4.0, < 2.4.2

Weaknesses (CWE)

CWE-908

CVSS v3.1 Details

CVSS v3.1 Vector

CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L

Attack Vector

Local

Attack Complexity

High

Privileges Required

Low

User Interaction

None

Scope

Unchanged

Confidentiality

None

Integrity

None

Availability

Low

References

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