8.8

CVE-2022-23573

Exploit

Uninitialized variable access in Tensorflow

Tensorflow is an Open Source Machine Learning Framework. The implementation of `AssignOp` can result in copying uninitialized data to a new tensor. This later results in undefined behavior. The implementation has a check that the left hand side of the assignment is initialized (to minimize number of allocations), but does not check that the right hand side is also initialized. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
Daten sind bereitgestellt durch National Vulnerability Database (NVD)
GoogleTensorflow Version <= 2.5.2
GoogleTensorflow Version >= 2.6.0 <= 2.6.2
GoogleTensorflow Version2.7.0
Zu dieser CVE wurde keine Warnung gefunden.
EPSS Metriken
Typ Quelle Score Percentile
EPSS FIRST.org 0.76% 0.504
CVSS Metriken
Quelle Base Score Exploit Score Impact Score Vector String
nvd@nist.gov 8.8 2.8 5.9
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
nvd@nist.gov 6.5 8 6.4
AV:N/AC:L/Au:S/C:P/I:P/A:P
security-advisories@github.com 7.6 2.8 4.7
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:H
CWE-908 Use of Uninitialized Resource

The product uses or accesses a resource that has not been initialized.

https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/kernels/assign_op.h#L30-L143
Third Party Advisory
Exploit
https://github.com/tensorflow/tensorflow/commit/ef1d027be116f25e25bb94a60da491c2cf55bd0b
Patch
Third Party Advisory
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-q85f-69q7-55h2
Patch
Third Party Advisory