CVE-2020-15190

MEDIUM

Tensorflow <2.3.1 - Memory Corruption

Title source: llm
STIX 2.1

Description

In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the `tf.raw_ops.Switch` operation takes as input a tensor and a boolean and outputs two tensors. Depending on the boolean value, one of the tensors is exactly the input tensor whereas the other one should be an empty tensor. However, the eager runtime traverses all tensors in the output. Since only one of the tensors is defined, the other one is `nullptr`, hence we are binding a reference to `nullptr`. This is undefined behavior and reported as an error if compiling with `-fsanitize=null`. In this case, this results in a segmentation fault The issue is patched in commit da8558533d925694483d2c136a9220d6d49d843c, 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 5.3
EPSS 0.0019
EPSS Percentile 40.4%
Attack Vector NETWORK
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L

Details

CWE
CWE-476 CWE-20
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