Vulnerability in Google Tensorflow

CVE-2022-23572

Tensorflow is an Open Source Machine Learning Framework. Under certain scenarios, TensorFlow can fail to specialize a type during shape inference. This case is covered by the `DCHECK` function however, `DCHECK` is a no-op in production builds and an assertion failure in debug builds. In the first case execution proceeds to the `ValueOrDie` line. This results in an assertion failure as `ret` contains an error `Status`, not a value. In the second case we also get a crash due to the assertion failure. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, and TensorFlow 2.6.3, as these are also affected and still in supported range.

Published · last modified .

CVSS v3 metric

CVSS v3 base score 6.5 (Medium). Vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H.

EPSS exploit prediction

EPSS: 0.010 (61.4th percentile), scored .

Low probability of exploitation in the next 30 days, but still tracked. 61st percentile — 61.4% of CVEs in the catalogue have a lower EPSS than this one. How to read EPSS.

EPSS trend (30 days)EPSS over the last 30 days for CVE-2022-23572: held from 0.010 to 0.010.

EPSS over last 30 days · oldest: 0.010 · newest: 0.010 · change: +0.000

Affected products

Weakness classification (CWE)

References

Frequently asked questions

What is CVE-2022-23572?
CVE-2022-23572 is a medium-severity vulnerability in Google Tensorflow, classified under Improper Check for Unusual or Exceptional Conditions. CVSS score: 6.5/10. Published 2022-02-04.
How severe is CVE-2022-23572?
Medium severity. CVSS v3 base score is 6.5 out of 10.