Description
In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, when determining the common dimension size of two tensors, TFLite uses a `DCHECK` which is no-op outside of debug compilation modes. Since the function always returns the dimension of the first tensor, malicious attackers can craft cases where this is larger than that of the second tensor. In turn, this would result in reads/writes outside of bounds since the interpreter will wrongly assume that there is enough data in both tensors. The issue is patched in commit 8ee24e7949a203d234489f9da2c5bf45a7d5157d, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.
References (4)
Core 4
Core References
Third Party Advisory x_refsource_misc
https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1
Exploit, Third Party Advisory x_refsource_confirm
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-mxjj-953w-2c2v
Patch, Third Party Advisory x_refsource_misc
https://github.com/tensorflow/tensorflow/commit/8ee24e7949a203d234489f9da2c5bf45a7d5157d
Mailing List, Third Party Advisory vendor-advisory
x_refsource_suse
http://lists.opensuse.org/opensuse-security-announce/2020-10/msg00065.html
Scores
CVSS v3
7.4
EPSS
0.0033
EPSS Percentile
55.9%
Attack Vector
NETWORK
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:N
Details
CWE
CWE-125
CWE-787
Status
published
Products (5)
google/tensorflow
< 1.15.4
opensuse/leap
15.2
pypi/tensorflow
0 - 1.15.4PyPI
pypi/tensorflow-cpu
0 - 1.15.4PyPI
pypi/tensorflow-gpu
0 - 1.15.4PyPI
Published
Sep 25, 2020
Tracked Since
Feb 18, 2026