Vulnerability Details : CVE-2021-29580

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.
Vulnerability category: Denial of service
Published 2021-05-14 20:15:14
Updated 2021-05-20 14:55:34
Source GitHub, Inc.
View at NVD,   CVE.org

Exploit prediction scoring system (EPSS) score for CVE-2021-29580

Probability of exploitation activity in the next 30 days: 0.04%

Percentile, the proportion of vulnerabilities that are scored at or less: ~ 11 % EPSS Score History EPSS FAQ

CVSS scores for CVE-2021-29580

Base Score Base Severity CVSS Vector Exploitability Score Impact Score Source
2.1
 LOW AV:L/AC:L/Au:N/C:N/I:N/A:P
3.9
2.9
 nvd@nist.gov
5.5
 MEDIUM CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
1.8
3.6
 nvd@nist.gov
2.5
 LOW CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L
1.0
1.4
 security-advisories@github.com

CWE ids for CVE-2021-29580

References for CVE-2021-29580

Products affected by CVE-2021-29580

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