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Vulnerability · Published Sep 25, 2020 · Assigned by GitHub_M

CVE-2020-15192Memory leak in Tensorflow

Medium 4.3

In plain English

A medium-severity improper input validation in tensorflow from tensorflow. There are no confirmed reports of exploitation so far. The chance it is exploited in the next 30 days is estimated at 0.8% (higher than 58% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.

Severity (CVSS 3.1)4.3Medium
Exploit odds (30 days)0.8%top 42.2% of all CVEs
Exploited in the wildNo reportsnot in CISA KEV
Attack toolingNoneno public tooling known

Official 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.

Affected packages & fixed versions

EcosystemPackageFixed inAdvisory
PyPItensorflow2.2.1, 2.3.1PYSEC-2020-115
PyPItensorflow2.2.1GHSA-8fxw-76px-3rxv
PyPItensorflow2.3.1GHSA-8fxw-76px-3rxv
PyPItensorflow-cpu2.2.1, 2.3.1PYSEC-2020-272
PyPItensorflow-cpu2.3.1GHSA-8fxw-76px-3rxv
PyPItensorflow-cpu2.2.1GHSA-8fxw-76px-3rxv
PyPItensorflow-gpu2.2.1, 2.3.1PYSEC-2020-307
PyPItensorflow-gpu2.2.1GHSA-8fxw-76px-3rxv
PyPItensorflow-gpu2.3.1GHSA-8fxw-76px-3rxv

Affected products (as reported)

VendorProductVersions
tensorflow tensorflow = 2.2.0= 2.3.0

Weakness: CWE-20 · Vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L

References