Vulnerability Details : CVE-2021-41225

Potential exploit
TensorFlow is an open source platform for machine learning. In affected versions TensorFlow's Grappler optimizer has a use of unitialized variable. If the `train_nodes` vector (obtained from the saved model that gets optimized) does not contain a `Dequeue` node, then `dequeue_node` is left unitialized. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.
Published 2021-11-05 23:15:09
Updated 2021-11-10 16:55:43
Source GitHub, Inc.
View at NVD,   CVE.org

Products affected by CVE-2021-41225

Exploit prediction scoring system (EPSS) score for CVE-2021-41225

EPSS FAQ
0.02%
Probability of exploitation activity in the next 30 days EPSS Score History
~ 3 %
Percentile, the proportion of vulnerabilities that are scored at or less

CVSS scores for CVE-2021-41225

Base Score Base Severity CVSS Vector Exploitability Score Impact Score Score Source First Seen
2.1
 LOW AV:L/AC:L/Au:N/C:N/I:N/A:P
3.9
2.9
 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
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
 GitHub, Inc.

CWE ids for CVE-2021-41225

References for CVE-2021-41225

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