CVE-2021-41225
A use of uninitialized value vulnerability in Tensorflow
5.5
MEDIUM
CVSS 3.1
EPSS 0.02%
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.
How to fix CVE-2021-41225
To remediate CVE-2021-41225, upgrade the affected package to a fixed version below.
- —upgrade to 2.4.4 or later
- —upgrade to 2.6.1 or later
- —upgrade to 68867bf01239d9e1048f98cbad185bf4761bedd3 or later
- —upgrade to 68867bf01239d9e1048f98cbad185bf4761bedd3 or later
- —upgrade to 2.6.1 or later
- —upgrade to 68867bf01239d9e1048f98cbad185bf4761bedd3 or later
- —upgrade to 2.6.1 or later
Is CVE-2021-41225 being exploited?
Low — EPSS is 0.0%, meaning exploitation activity has not been observed at scale.
Affected packages (7)
- >= 2.4.0, < 2.4.4, >= 2.5.0, < 2.5.2, >= 2.6.0, < 2.6.1
- >= 2.6.0, < 2.6.1
- from 0, < 68867bf01239d9e1048f98cbad185bf4761bedd3 | from 0, < 2.4.4, >= 2.5.0, < 2.5.2, >= 2.6.0, < 2.6.1, >= 2.7.0rc0, < 2.7.0
- from 0, < 68867bf01239d9e1048f98cbad185bf4761bedd3 | from 0, < 2.4.4, >= 2.5.0, < 2.5.2, >= 2.6.0, < 2.6.1, >= 2.7.0rc0, < 2.7.0
- >= 2.6.0, < 2.6.1
- from 0, < 68867bf01239d9e1048f98cbad185bf4761bedd3 | from 0, < 2.4.4, >= 2.5.0, < 2.5.2, >= 2.6.0, < 2.6.1, >= 2.7.0rc0, < 2.7.0
- >= 2.6.0, < 2.6.1
CVSS scores
| Source | Version | Severity | Vector |
|---|---|---|---|
| osv | CVSS 4.0 | — | CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N |
| osv | CVSS 3.1 | MEDIUM5.5 | CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H |