Integer Overflow Affecting tensorflow package, versions [2.5.0,2.5.1) [2.4.0,2.4.3) [,2.3.4)
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Test your applications- Snyk ID SNYK-PYTHON-TENSORFLOW-1540758
- published 13 Aug 2021
- disclosed 13 Aug 2021
- credit Unknown
Introduced: 13 Aug 2021
CVE-2021-37646 Open this link in a new tabHow to fix?
Upgrade tensorflow to version 2.5.1, 2.4.3, 2.3.4 or higher.
Overview
tensorflow is a machine learning framework.
Affected versions of this package are vulnerable to Integer Overflow. The implementation of tf.raw_ops.StringNGrams is vulnerable to an integer overflow issue caused by converting a signed integer value to an unsigned one and then allocating memory based on this value. The implementation calls reserve on a tstring with a value that sometimes can be negative if user supplies negative ngram_widths. The reserve method calls TF_TString_Reserve which has an unsigned long argument for the size of the buffer. Hence, the implicit conversion transforms the negative value to a large integer.