NULL pointer dereference in Google Tensorflow

CVE-2022-41909

TensorFlow is an open source platform for machine learning. An input `encoded` that is not a valid `CompositeTensorVariant` tensor will trigger a segfault in `tf.raw_ops.CompositeTensorVariantToComponents`. We have patched the issue in GitHub commits bf594d08d377dc6a3354d9fdb494b32d45f91971 and 660ce5a89eb6766834bdc303d2ab3902aef99d3d. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

Vulnerability class: Drupalgeddon 2 (CVE-2018-7600)

EPSS: 0.005 (39.4th percentile) — read the EPSS interpretation.

CVSS v3 metric

CVSS v3 base score 4.8 (Medium). Vector: CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H.

Affected products

Weakness classification (CWE)

Public proof-of-concept exploits

References

Frequently asked questions

What is CVE-2022-41909?
CVE-2022-41909 is a medium-severity vulnerability in Google Tensorflow, classified under Improper Input Validation. CVSS score: 4.8/10. Published 2022-11-18.
How severe is CVE-2022-41909?
Medium severity. CVSS v3 base score is 4.8 out of 10.
Is CVE-2022-41909 known to be exploited?
2 public proof-of-concept repositories are indexed. Not currently listed in the CISA KEV catalog.