High severity · published Nov 5, 2021
CVE-2021-41225
TensorFlow is an open source platform for machine learning
7.8
CVSS
0.2%
EPSS
No
On KEV
Description
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.
CVSS vector
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
Attack vector
Local
Complexity
Low
Privileges
Low
User interaction
None
Confidentiality
High
Integrity
High
Availability
High
Scope
Unchanged
Exploitation
Is it being used?
Exploit prediction (EPSS)0.2% · higher than 9% of CVEs
Exploited in the wildNo evidence yet
CISA KEVNot listed
Ransomware campaign useNot known
Affected products
Which versions
TE
Tensorflow · Google
2.4.0 before 2.4.4; 2.5.0 before 2.5.2; 2.6.0 before 2.6.1; 2.7.0; 2.7.0 · source: NVD
References
NVD
https://nvd.nist.gov/vuln/detail/CVE-2021-41225
CVE.org
https://www.cve.org/CVERecord?id=CVE-2021-41225
Patch
https://github.com/tensorflow/tensorflow/commit/68867bf01239d9e1048f98cbad185bf4761bedd3
Exploit
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-7r94-xv9v-63jw
More from Tensorflow
9.9
CVE-2020-15196
In Tensorflow version 2.3.0, the `SparseCountSparseOutput` and `RaggedCountSparseOutput` implementations don't validate that the `weights` tensor has the same shape as the data
9.8
CVE-2023-25668
TensorFlow is an open source platform for machine learning
9.8
CVE-2023-25664
TensorFlow is an open source platform for machine learning
9.8
CVE-2022-41900
TensorFlow is an open source platform for machine learning
9.8
CVE-2022-35939
TensorFlow is an open source platform for machine learning
