Memory leak in Tensorflow

ImpactIf a graph node is invalid, TensorFlow can leak memory in the implementation of ImmutableExecutorState::Initialize:ccStatus s = params.createkerneln-properties, &item-;kernel;if !s.ok item-kernel = nullptr; s = AttachDefs, n; return s; Here, we set item-kernel to nullptr but it is a simple...

PYSEC-2026-3138 Memory leak in Tensorflow

Impact If a graph node is invalid, TensorFlow can leak memory in the implementation of ImmutableExecutorState::Initialize: cc Status s = params.createkerneln-properties, &item-kernel; if !s.ok item-kernel = nullptr; s = AttachDefs, n; return s; Here, we set item-kernel to nullptr but it is a simp...

SUSE CVE-2022-23578

Tensorflow is an Open Source Machine Learning Framework. If a graph node is invalid, TensorFlow can leak memory in the implementation of ImmutableExecutorState::Initialize. Here, we set item-kernel to nullptr but it is a simple OpKernel pointer so the memory that was previously allocated to it...

PYSEC-2022-87

Tensorflow is an Open Source Machine Learning Framework. If a graph node is invalid, TensorFlow can leak memory in the implementation of ImmutableExecutorState::Initialize. Here, we set item-kernel to nullptr but it is a simple OpKernel pointer so the memory that was previously allocated to it...

PYSEC-2022-142

Tensorflow is an Open Source Machine Learning Framework. If a graph node is invalid, TensorFlow can leak memory in the implementation of ImmutableExecutorState::Initialize. Here, we set item-kernel to nullptr but it is a simple OpKernel pointer so the memory that was previously allocated to it...

CVE-2022-23578

Tensorflow is an Open Source Machine Learning Framework. If a graph node is invalid, TensorFlow can leak memory in the implementation of ImmutableExecutorState::Initialize. Here, we set item-kernel to nullptr but it is a simple OpKernel pointer so the memory that was previously allocated to it...

PT-2022-16095

Name of the Vulnerable Software and Affected Versions TensorFlow versions prior to 2.8.0 TensorFlow versions 2.7.1 and earlier TensorFlow versions 2.6.3 and earlier TensorFlow versions 2.5.3 and earlier Description The issue arises when a graph node is invalid, causing TensorFlow to leak memory i...