Description
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.
References (2)
Core 2
Core References
Patch, Third Party Advisory x_refsource_confirm
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-vgvh-2pf4-jr2x
Patch, Third Party Advisory x_refsource_misc
https://github.com/tensorflow/tensorflow/commit/73ad1815ebcfeb7c051f9c2f7ab5024380ca8613
Scores
CVSS v3
5.9
EPSS
0.0006
EPSS Percentile
19.8%
Attack Vector
NETWORK
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H
CISA SSVC
Vulnrichment
Exploitation
none
Automatable
no
Technical Impact
partial
Details
CWE
CWE-20
Status
published
Products (5)
google/tensorflow
2.10 rc0 (4 CPE variants)
google/tensorflow
2.7.0 - 2.7.2
pypi/tensorflow
0 - 2.7.2PyPI
pypi/tensorflow-cpu
0 - 2.7.2PyPI
pypi/tensorflow-gpu
0 - 2.7.2PyPI
Published
Sep 16, 2022
Tracked Since
Feb 18, 2026