Heap-based Buffer Overflow Affecting tensorflow package, versions [,1.15.4) [2.0.0, 2.0.3) [2.1.0, 2.1.2) [2.2.0, 2.2.1) [2.3.0, 2.3.1)
Threat Intelligence
EPSS
0.21% (60th
percentile)
Do your applications use this vulnerable package?
In a few clicks we can analyze your entire application and see what components are vulnerable in your application, and suggest you quick fixes.
Test your applications- Snyk ID SNYK-PYTHON-TENSORFLOW-1013542
- published 28 Sep 2020
- disclosed 28 Sep 2020
- credit Aivul Team from Qihoo 360
Introduced: 28 Sep 2020
CVE-2020-15205 Open this link in a new tabHow to fix?
Upgrade tensorflow
to version 1.15.4, 2.0.3, 2.1.2, 2.2.1, 2.3.1 or higher.
Overview
tensorflow is a machine learning framework.
Affected versions of this package are vulnerable to Heap-based Buffer Overflow. The data_splits
argument of tf.raw_ops.StringNGrams
lacks validation. This allows a user to pass values that can cause heap overflow errors and even leak contents of memoryIn the linked code snippet, all the binary strings after ee ff
are contents from the memory stack.
References
CVSS Scores
version 3.1