CVE-2022-41889
Expert Analysis
Professional remediation guidance
Get tailored security recommendations from our analyst team for CVE-2022-41889. We'll provide specific mitigation strategies based on your environment and risk profile.
CVSS Score
V3.1EPSS Score
v2025.03.14There is a 0.1% chance that this vulnerability will be exploited in the wild within the next 30 days.
Attack Vector Metrics
Impact Metrics
Description
TensorFlow is an open source platform for machine learning. If a list of quantized tensors is assigned to an attribute, the pywrap code fails to parse the tensor and returns a `nullptr`, which is not caught. An example can be seen in `tf.compat.v1.extract_volume_patches` by passing in quantized tensors as input `ksizes`. We have patched the issue in GitHub commit e9e95553e5411834d215e6770c81a83a3d0866ce. 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.
Available Exploits
Related News
Affected Products
Affected Versions:
GitHub Security Advisories
Community-driven vulnerability intelligence from GitHub
Segfault via invalid attributes in `pywrap_tfe_src.cc`
GHSA-xxcj-rhqg-m46gAdvisory Details
Affected Packages
CVSS Scoring
CVSS Score
CVSS Vector
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
References
Advisory provided by GitHub Security Advisory Database. Published: November 21, 2022, Modified: January 15, 2025