CVE-2021-41225

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.
ProviderTypeBase ScoreAtk. VectorAtk. ComplexityPriv. RequiredVector
GitHub_MCNA
5.5 MEDIUM
LOCAL
LOW
LOW
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
Base Score
CVSS 3.x
EPSS Score
Percentile: 5%
Affected Products (NVD)
VendorProductVersion
googletensorflow
2.4.0 ≤
𝑥
< 2.4.4
googletensorflow
2.5.0 ≤
𝑥
< 2.5.2
googletensorflow
2.6.0 ≤
𝑥
< 2.6.1
googletensorflow
2.7.0:rc0
googletensorflow
2.7.0:rc1
𝑥
= Vulnerable software versions
Early Detection
Affected products identified ahead of NVD analysis through intelligence sources.
VendorProductVersionSource
tensorflowtensorflow
𝑥
< 2.4.4
CNA
Common Weakness Enumeration
References
https://github.com/tensorflow/tensorflow/commit/68867bf01239d9e1048f98cbad185bf4761bedd3
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-7r94-xv9v-63jw
https://github.com/tensorflow/tensorflow/commit/68867bf01239d9e1048f98cbad185bf4761bedd3
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-7r94-xv9v-63jw