Description
Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for `Dequantize` is vulnerable to an integer overflow weakness. The `axis` argument can be `-1` (the default value for the optional argument) or any other positive value at most the number of dimensions of the input. Unfortunately, the upper bound is not checked, and, since the code computes `axis + 1`, an attacker can trigger an integer overflow. 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.
References (3)
Core 3
Core References
Patch, Third Party Advisory x_refsource_confirm
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-c6fh-56w7-fvjw
Patch, Third Party Advisory x_refsource_misc
https://github.com/tensorflow/tensorflow/commit/b64638ec5ccaa77b7c1eb90958e3d85ce381f91b
Exploit, Third Party Advisory x_refsource_misc
https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/ops/array_ops.cc#L3001-L3034
Scores
CVSS v3
7.6
EPSS
0.0032
EPSS Percentile
54.8%
Attack Vector
NETWORK
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:H
CISA SSVC
Vulnrichment
Exploitation
poc
Automatable
no
Technical Impact
partial
Details
CWE
CWE-190
Status
published
Products (5)
google/tensorflow
2.7.0
google/tensorflow
< 2.5.2
pypi/tensorflow
0 - 2.5.3PyPI
pypi/tensorflow-cpu
0 - 2.5.3PyPI
pypi/tensorflow-gpu
0 - 2.5.3PyPI
Published
Feb 03, 2022
Tracked Since
Feb 18, 2026