7.5

CVE-2022-35973

Segfault in `QuantizedMatMul` in TensorFlow

TensorFlow is an open source platform for machine learning. If `QuantizedMatMul` is given nonscalar input for: `min_a`, `max_a`, `min_b`, or `max_b` It gives a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit aca766ac7693bf29ed0df55ad6bfcc78f35e7f48. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.
Daten sind bereitgestellt durch National Vulnerability Database (NVD)
Google ≫ Tensorflow Version >= 2.7.0 < 2.7.2
Google ≫ Tensorflow Version >= 2.8.0 < 2.8.1
Google ≫ Tensorflow Version >= 2.9.0 < 2.9.1
Google ≫ Tensorflow Version 2.10 Update rc0
Google ≫ Tensorflow Version 2.10 Update rc1
Google ≫ Tensorflow Version 2.10 Update rc2
Google ≫ Tensorflow Version 2.10 Update rc3
Zu dieser CVE wurde keine Warnung gefunden.
EPSS Metriken
Typ Quelle Score Percentile
EPSS FIRST.org 0.44% 0.356
CVSS Metriken
Quelle Base Score Exploit Score Impact Score Vector String
NIST 7.5 3.9 3.6
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
security-advisories@github.com 5.9 2.2 3.6
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H
CWE-20 Improper Input Validation

The product receives input or data, but it does not validate or incorrectly validates that the input has the properties that are required to process the data safely and correctly.

https://github.com/tensorflow/tensorflow/commit/aca766ac7693bf29ed0df55ad6bfcc78f35e7f48
Patch
Third Party Advisory
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-689c-r7h2-fv9v
Patch
Third Party Advisory