Vulnerability in Google Tensorflow
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.
Published · last modified .
CVSS v3 metric
CVSS v3 base score 5.5 (Medium). Vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H.
EPSS exploit prediction
EPSS: 0.002 (8.3th percentile), scored .
Very low probability of exploitation in the next 30 days; routine patching cadence is appropriate. 8th percentile — 8.3% of CVEs in the catalogue have a lower EPSS than this one. How to read EPSS.
EPSS over last 30 days · oldest: 0.002 · newest: 0.002 · change: 0.000
Affected products
- Google Tensorflow — versions 2.7.0
- Tensorflow — versions >= 2.6.0, < 2.6.1, >= 2.5.0, < 2.5.2, < 2.4.4
Weakness classification (CWE)
References
- github.com/tensorflow/tensorflow/security/advisories/GHSA-7r94-xv9v-63jw (Exploit, Patch, Third Party Advisory)
- github.com/tensorflow/tensorflow/commit/68867bf01239d9e1048f98cbad185bf4761bedd3 (Patch, Third Party Advisory)
Frequently asked questions
- What is CVE-2021-41225?
- CVE-2021-41225 is a medium-severity vulnerability in Google Tensorflow, classified under Use of Uninitialized Resource. CVSS score: 5.5/10. Published 2021-11-05.
- How severe is CVE-2021-41225?
- Medium severity. CVSS v3 base score is 5.5 out of 10.