VYPR
Moderate severityNVD Advisory· Published Sep 25, 2020· Updated Aug 4, 2024

Memory leak in Tensorflow

CVE-2020-15192

Description

In Tensorflow before versions 2.2.1 and 2.3.1, if a user passes a list of strings to dlpack.to_dlpack there is a memory leak following an expected validation failure. The issue occurs because the status argument during validation failures is not properly checked. Since each of the above methods can return an error status, the status value must be checked before continuing. The issue is patched in commit 22e07fb204386768e5bcbea563641ea11f96ceb8 and is released in TensorFlow versions 2.2.1, or 2.3.1.

AI Insight

LLM-synthesized narrative grounded in this CVE's description and references.

Affected packages

Versions sourced from the GitHub Security Advisory.

PackageAffected versionsPatched versions
tensorflowPyPI
>= 2.2.0, < 2.2.12.2.1
tensorflowPyPI
>= 2.3.0, < 2.3.12.3.1
tensorflow-cpuPyPI
>= 2.2.0, < 2.2.12.2.1
tensorflow-cpuPyPI
>= 2.3.0, < 2.3.12.3.1
tensorflow-gpuPyPI
>= 2.2.0, < 2.2.12.2.1
tensorflow-gpuPyPI
>= 2.3.0, < 2.3.12.3.1

Affected products

9

Patches

Vulnerability mechanics

References

9

News mentions

0

No linked articles in our index yet.