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OpenAdvisories
Medium · 5.9 CVE-2020-15199 BIT-tensorflow-2020-15199EUVD-2020-0195GHSA-x5cp-9pcf-pp3hPYSEC-2020-122PYSEC-2020-279PYSEC-2020-314

Denial of Service in Tensorflow

Published Sep 25, 2020 · Updated Aug 4, 2024 · Assigned by GitHub_M

Description

In Tensorflow before version 2.3.1, the `RaggedCountSparseOutput` does not validate that the input arguments form a valid ragged tensor. In particular, there is no validation that the `splits` tensor has the minimum required number of elements. Code uses this quantity to initialize a different data structure. Since `BatchedMap` is equivalent to a vector, it needs to have at least one element to not be `nullptr`. If user passes a `splits` tensor that is empty or has exactly one element, we get a `SIGABRT` signal raised by the operating system. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1.

Affected products

VendorProductAffectedFixed
tensorflow tensorflow = 2.3.0 —

Affected packages

EcosystemPackageAffectedFixedRecord
PyPI tensorflow >= 2.3.0, < 2.3.1 2.3.1 GHSA-x5cp-9pcf-pp3h
PyPI tensorflow < 2.3.1 2.3.1 PYSEC-2020-122
PyPI tensorflow-cpu >= 2.3.0, < 2.3.1 2.3.1 GHSA-x5cp-9pcf-pp3h
PyPI tensorflow-cpu < 2.3.1 2.3.1 PYSEC-2020-279
PyPI tensorflow-gpu >= 2.3.0, < 2.3.1 2.3.1 GHSA-x5cp-9pcf-pp3h
PyPI tensorflow-gpu < 2.3.1 2.3.1 PYSEC-2020-314

References