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CVE-2020-15208

7.4 · HIGH

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 compilati…

Published Sep 25, 2020CWE-125EPSS 0.91%

Overview

CVE-2020-15208 is a high-severity vulnerability. It was published on September 25, 2020 and has a CVSS 3.1 base score of 7.4 (HIGH).

This vulnerability has a CVSS 3.1 base score of 7.4, rated HIGH. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

Technical 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.

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/8ee24e7949a203d234489f9da2c5bf45a7d5157dGitHubgithub.com/tensorflow/tensorflow/releases/tag/v2.3.1GitHubgithub.com/tensorflow/tensorflow/security/advisories/GHSA-mxjj-953w-2c2vReflists.opensuse.org/opensuse-security-announce/2020-10/msg00065.htmlGitHubgithub.com/tensorflow/tensorflow/commit/8ee24e7949a203d234489f9da2c5bf45a7d5157dGitHubgithub.com/tensorflow/tensorflow/releases/tag/v2.3.1GitHubgithub.com/tensorflow/tensorflow/security/advisories/GHSA-mxjj-953w-2c2v

How CyberStrike helps

Frequently asked questions

What is CVE-2020-15208?

CVE-2020-15208 is a high-severity vulnerability. It was published on September 25, 2020 and has a CVSS 3.1 base score of 7.4 (HIGH).

How severe is CVE-2020-15208?

This vulnerability has a CVSS 3.1 base score of 7.4, rated HIGH. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

How do I fix or remediate CVE-2020-15208?

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-2020-15208?

CyberStrike is an open-source, AI-augmented pentesting engine. Rather than flag a version number, it tests whether an issue like CVE-2020-15208 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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