Go to homepageCyberStrike

Menu

Star on GitHub · 3.2k
Sign inDownload

CVE-2020-15193

7.1 · HIGH

In Tensorflow before versions 2.2.1 and 2.3.1, the implementation of `dlpack.to_dlpack` can be made to use uninitialized memory resulting in further memory corruption.

Published Sep 25, 2020CWE-908EPSS 0.83%

Overview

CVE-2020-15193 is a high-severity vulnerability. It was published on September 25, 2020 and has a CVSS 3.1 base score of 7.1 (HIGH).

This vulnerability has a CVSS 3.1 base score of 7.1, rated HIGH. It can be exploited remotely over the network. Some level of privileges is required for exploitation.

Technical description

In Tensorflow before versions 2.2.1 and 2.3.1, the implementation of `dlpack.to_dlpack` can be made to use uninitialized memory resulting in further memory corruption. This is because the pybind11 glue code assumes that the argument is a tensor. However, there is nothing stopping users from passing in a Python object instead of a tensor. The uninitialized memory address is due to a `reinterpret_cast` Since the `PyObject` is a Python object, not a TensorFlow Tensor, the cast to `EagerTensor` fails. The issue is patched in commit 22e07fb204386768e5bcbea563641ea11f96ceb8 and is released in TensorFlow versions 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/22e07fb204386768e5bcbea563641ea11f96ceb8GitHubgithub.com/tensorflow/tensorflow/releases/tag/v2.3.1GitHubgithub.com/tensorflow/tensorflow/security/advisories/GHSA-rjjg-hgv6-h69vReflists.opensuse.org/opensuse-security-announce/2020-10/msg00065.htmlGitHubgithub.com/tensorflow/tensorflow/commit/22e07fb204386768e5bcbea563641ea11f96ceb8GitHubgithub.com/tensorflow/tensorflow/releases/tag/v2.3.1GitHubgithub.com/tensorflow/tensorflow/security/advisories/GHSA-rjjg-hgv6-h69v

How CyberStrike helps

Frequently asked questions

What is CVE-2020-15193?

CVE-2020-15193 is a high-severity vulnerability. It was published on September 25, 2020 and has a CVSS 3.1 base score of 7.1 (HIGH).

How severe is CVE-2020-15193?

This vulnerability has a CVSS 3.1 base score of 7.1, rated HIGH. It can be exploited remotely over the network. Some level of privileges is required for exploitation.

How do I fix or remediate CVE-2020-15193?

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-2020-15193?

CyberStrike is an open-source, AI-augmented pentesting engine. Rather than flag a version number, it tests whether an issue like CVE-2020-15193 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.

Related HIGH CVEs from 2020

View all
Browse by year2026202520242023202220212020201920182017201620152014201320122011201020092008200720062005200420032002200120001999