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CVE-2020-15209

5.9 · MEDIUM

In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, a crafted TFLite model can force a node to have as input a tensor backed by a `nullptr` buffer.

Published Sep 25, 2020CWE-476EPSS 0.80%

Overview

CVE-2020-15209 is a medium-severity vulnerability. It was published on September 25, 2020 and has a CVSS 3.1 base score of 5.9 (MEDIUM).

This vulnerability has a CVSS 3.1 base score of 5.9, rated MEDIUM. 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, a crafted TFLite model can force a node to have as input a tensor backed by a `nullptr` buffer. This can be achieved by changing a buffer index in the flatbuffer serialization to convert a read-only tensor to a read-write one. The runtime assumes that these buffers are written to before a possible read, hence they are initialized with `nullptr`. However, by changing the buffer index for a tensor and implicitly converting that tensor to be a read-write one, as there is nothing in the model that writes to it, we get a null pointer dereference. The issue is patched in commit 0b5662bc, 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/0b5662bc2be13a8c8f044d925d87fb6e56247cd8GitHubgithub.com/tensorflow/tensorflow/releases/tag/v2.3.1GitHubgithub.com/tensorflow/tensorflow/security/advisories/GHSA-qh32-6jjc-qprmReflists.opensuse.org/opensuse-security-announce/2020-10/msg00065.htmlGitHubgithub.com/tensorflow/tensorflow/commit/0b5662bc2be13a8c8f044d925d87fb6e56247cd8GitHubgithub.com/tensorflow/tensorflow/releases/tag/v2.3.1GitHubgithub.com/tensorflow/tensorflow/security/advisories/GHSA-qh32-6jjc-qprm

How CyberStrike helps

Frequently asked questions

What is CVE-2020-15209?

CVE-2020-15209 is a medium-severity vulnerability. It was published on September 25, 2020 and has a CVSS 3.1 base score of 5.9 (MEDIUM).

How severe is CVE-2020-15209?

This vulnerability has a CVSS 3.1 base score of 5.9, rated MEDIUM. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

How do I fix or remediate CVE-2020-15209?

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-2020-15209?

CyberStrike is an open-source, AI-augmented pentesting engine. Rather than flag a version number, it tests whether an issue like CVE-2020-15209 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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