CVE-2022-36026
MEDIUMTensorFlow < 2.7.2 - Denial of Service via QuantizeAndDequantizeV3 Non-scalar num_bits Input
Title source: llmDescription
TensorFlow is an open source platform for machine learning. If `QuantizeAndDequantizeV3` is given a nonscalar `num_bits` input tensor, it results in a `CHECK` fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit f3f9cb38ecfe5a8a703f2c4a8fead434ef291713. 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
Third Party Advisory x_refsource_confirm
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-9cr2-8pwr-fhfq
Patch, Third Party Advisory x_refsource_misc
https://github.com/tensorflow/tensorflow/commit/f3f9cb38ecfe5a8a703f2c4a8fead434ef291713
Scores
CVSS v3
5.9
EPSS
0.0038
EPSS Percentile
29.5%
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-617
Status
published
Products (5)
google/tensorflow
2.10 rc0 (4 CPE variants)
google/tensorflow
< 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