7.5

CVE-2022-35974

Segfault in `QuantizeDownAndShrinkRange` in TensorFlow

TensorFlow is an open source platform for machine learning. If `QuantizeDownAndShrinkRange` is given nonscalar inputs for `input_min` or `input_max`, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 73ad1815ebcfeb7c051f9c2f7ab5024380ca8613. 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/73ad1815ebcfeb7c051f9c2f7ab5024380ca8613
Patch
Third Party Advisory
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-vgvh-2pf4-jr2x
Patch
Third Party Advisory