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Low · 2.5 CVE-2021-29552 BIT-tensorflow-2021-29552EUVD-2021-0293GHSA-jhq9-wm9m-cf89PYSEC-2021-189PYSEC-2021-480PYSEC-2021-678

CHECK-failure in `UnsortedSegmentJoin`

Published May 14, 2021 · Updated Aug 3, 2024 · Assigned by GitHub_M

Description

TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a denial of service by controlling the values of `num_segments` tensor argument for `UnsortedSegmentJoin`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/a2a607db15c7cd01d754d37e5448d72a13491bdb/tensorflow/core/kernels/unsorted_segment_join_op.cc#L92-L93) assumes that the `num_segments` tensor is a valid scalar. Since the tensor is empty the `CHECK` involved in `.scalar<T>()()` that checks that the number of elements is exactly 1 will be invalidated and this would result in process termination. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.

Affected products

VendorProductAffectedFixed
tensorflow tensorflow < 2.1.4, >= 2.2.0, < 2.2.3, >= 2.3.0, < 2.3.3, >= 2.4.0, < 2.4.2 —

Affected packages

EcosystemPackageAffectedFixedRecord
PyPI tensorflow < 2.1.4 2.1.4 GHSA-jhq9-wm9m-cf89
PyPI tensorflow >= 2.2.0, < 2.2.3 2.2.3 GHSA-jhq9-wm9m-cf89
PyPI tensorflow >= 2.3.0, < 2.3.3 2.3.3 GHSA-jhq9-wm9m-cf89
PyPI tensorflow >= 2.4.0, < 2.4.2 2.4.2 GHSA-jhq9-wm9m-cf89
PyPI tensorflow < 2.2.0rc0 · >= 2.2.0, < 2.3.0rc0 · >= 2.3.0, < 2.3.4 · >= 2.4.0, < 2.4.3 2.2.0rc0, 2.3.0rc0, 2.3.4, 2.4.3 PYSEC-2021-189
PyPI tensorflow-cpu < 2.1.4 2.1.4 GHSA-jhq9-wm9m-cf89
PyPI tensorflow-cpu >= 2.2.0, < 2.2.3 2.2.3 GHSA-jhq9-wm9m-cf89
PyPI tensorflow-cpu >= 2.3.0, < 2.3.3 2.3.3 GHSA-jhq9-wm9m-cf89
PyPI tensorflow-cpu >= 2.4.0, < 2.4.2 2.4.2 GHSA-jhq9-wm9m-cf89
PyPI tensorflow-cpu < 2.2.0rc0 · >= 2.2.0, < 2.3.0rc0 · >= 2.3.0, < 2.3.4 · >= 2.4.0, < 2.4.3 2.2.0rc0, 2.3.0rc0, 2.3.4, 2.4.3 PYSEC-2021-480
PyPI tensorflow-gpu < 2.1.4 2.1.4 GHSA-jhq9-wm9m-cf89
PyPI tensorflow-gpu >= 2.2.0, < 2.2.3 2.2.3 GHSA-jhq9-wm9m-cf89
PyPI tensorflow-gpu >= 2.3.0, < 2.3.3 2.3.3 GHSA-jhq9-wm9m-cf89
PyPI tensorflow-gpu >= 2.4.0, < 2.4.2 2.4.2 GHSA-jhq9-wm9m-cf89
PyPI tensorflow-gpu < 2.2.0rc0 · >= 2.2.0, < 2.3.0rc0 · >= 2.3.0, < 2.3.4 · >= 2.4.0, < 2.4.3 2.2.0rc0, 2.3.0rc0, 2.3.4, 2.4.3 PYSEC-2021-678

References