CVE-2020-15206

CRITICAL

Tensorflow <1.15.4, 2.0.3, 2.1.2, 2.2.1, 2.3.1 - Use After Free

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, changing the TensorFlow's `SavedModel` protocol buffer and altering the name of required keys results in segfaults and data corruption while loading the model. This can cause a denial of service in products using `tensorflow-serving` or other inference-as-a-service installments. Fixed were added in commits f760f88b4267d981e13f4b302c437ae800445968 and fcfef195637c6e365577829c4d67681695956e7d (both going into TensorFlow 2.2.0 and 2.3.0 but not yet backported to earlier versions). However, this was not enough, as #41097 reports a different failure mode. The issue is patched in commit adf095206f25471e864a8e63a0f1caef53a0e3a6, 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 9.0
EPSS 0.0047
EPSS Percentile 64.7%
Attack Vector NETWORK
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:H/A:H

Details

CWE
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