Vulnerability Details : CVE-2021-29574

TensorFlow is an end-to-end open source platform for machine learning. The implementation of `tf.raw_ops.MaxPool3DGradGrad` exhibits undefined behavior by dereferencing null pointers backing attacker-supplied empty tensors. The implementation(https://github.com/tensorflow/tensorflow/blob/72fe792967e7fd25234342068806707bbc116618/tensorflow/core/kernels/pooling_ops_3d.cc#L679-L703) fails to validate that the 3 tensor inputs are not empty. If any of them is empty, then accessing the elements in the tensor results in dereferencing a null pointer. 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.
Published 2021-05-14 20:15:14
Updated 2021-05-18 20:11:30
Source GitHub, Inc.
View at NVD,   CVE.org

Products affected by CVE-2021-29574

Exploit prediction scoring system (EPSS) score for CVE-2021-29574

EPSS FAQ
0.05%
Probability of exploitation activity in the next 30 days EPSS Score History
~ 15 %
Percentile, the proportion of vulnerabilities that are scored at or less

CVSS scores for CVE-2021-29574

Base Score Base Severity CVSS Vector Exploitability Score Impact Score Score Source First Seen
4.6
 MEDIUM AV:L/AC:L/Au:N/C:P/I:P/A:P
3.9
6.4
 NIST
7.8
 HIGH CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
1.8
5.9
 NIST
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
 GitHub, Inc.

CWE ids for CVE-2021-29574

  • The product dereferences a pointer that it expects to be valid but is NULL.
    Assigned by: security-advisories@github.com (Primary)

References for CVE-2021-29574

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