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CVE-2020-15206

9.0 · CRITICAL

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 corr…

Published Sep 25, 2020CWE-20EPSS 0.96%

Overview

CVE-2020-15206 is a critical-severity vulnerability. It was published on September 25, 2020 and has a CVSS 3.1 base score of 9.0 (CRITICAL).

This vulnerability has a CVSS 3.1 base score of 9.0, rated CRITICAL. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

Technical 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.

Remediation

Check the references section for vendor advisories, patches, and mitigation guidance. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.

References

Reflists.opensuse.org/opensuse-security-announce/2020-10/msg00065.htmlGitHubgithub.com/tensorflow/tensorflow/commit/adf095206f25471e864a8e63a0f1caef53a0e3a6GitHubgithub.com/tensorflow/tensorflow/releases/tag/v2.3.1GitHubgithub.com/tensorflow/tensorflow/security/advisories/GHSA-w5gh-2wr2-pm6gReflists.opensuse.org/opensuse-security-announce/2020-10/msg00065.htmlGitHubgithub.com/tensorflow/tensorflow/commit/adf095206f25471e864a8e63a0f1caef53a0e3a6GitHubgithub.com/tensorflow/tensorflow/releases/tag/v2.3.1GitHubgithub.com/tensorflow/tensorflow/security/advisories/GHSA-w5gh-2wr2-pm6g

How CyberStrike helps

Frequently asked questions

What is CVE-2020-15206?

CVE-2020-15206 is a critical-severity vulnerability. It was published on September 25, 2020 and has a CVSS 3.1 base score of 9.0 (CRITICAL).

How severe is CVE-2020-15206?

This vulnerability has a CVSS 3.1 base score of 9.0, rated CRITICAL. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

How do I fix or remediate CVE-2020-15206?

Check the references section for vendor advisories, patches, and mitigation guidance. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.

How can CyberStrike help with CVE-2020-15206?

CyberStrike is an open-source, AI-augmented pentesting engine. Rather than flag a version number, it tests whether an issue like CVE-2020-15206 is actually reachable in your own applications and APIs, then verifies each finding before reporting it. That tells you if the weakness is a real, exploitable risk in your environment or a false positive you can safely deprioritize.

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