CVE-2020-15208

HIGH

TensorFlow-Lite <2.3.1 - Memory Corruption

Title source: llm
STIX 2.1

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
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