CVE-2022-29203

CVE-2022-29203 describes an integer overflow in TensorFlow’s tf.raw_ops.SpaceToBatchND across backends (XLA and handwritten kernels) that can cause a denial of service via a CHECK failure when allocating the output tensor. Affected versions are prior to 2.9.0, 2.8.1, 2.7.2, and 2.6.4. The documen...

CVE-2022-29203 Integer overflow in `SpaceToBatchND` in TensorFlow

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of tf.rawops.SpaceToBatchND in all backends such as XLA and handwritten kernels is vulnerable to an integer overflow: The result of this integer overflow is used to...

CVE-2022-29203

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of tf.rawops.SpaceToBatchND in all backends such as XLA and handwritten kernels is vulnerable to an integer overflow: The result of this integer overflow is used to...

CVE-2022-29203 Integer overflow in `SpaceToBatchND` in TensorFlow

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of tf.rawops.SpaceToBatchND in all backends such as XLA and handwritten kernels is vulnerable to an integer overflow: The result of this integer overflow is used to...

CVE-2022-29203 Integer overflow in `SpaceToBatchND` in TensorFlow

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of tf.rawops.SpaceToBatchND in all backends such as XLA and handwritten kernels is vulnerable to an integer overflow: The result of this integer overflow is used to...

CVE-2022-29204

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of tf.rawops.UnsortedSegmentJoin does not fully validate the input arguments. This results in a CHECK-failure which can be used to trigger a denial of service attack. T...

CVE-2022-29204 Missing validation causes denial of service in TensorFlow via `Conv3DBackpropFilterV2`

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of tf.rawops.UnsortedSegmentJoin does not fully validate the input arguments. This results in a CHECK-failure which can be used to trigger a denial of service attack. T...

CVE-2022-29204

TensorFlow CVE-2022-29204 affects the tf.raw_ops.UnsortedSegmentJoin implementation in multiple pre-2.9.0 releases (2.9.0, 2.8.1, 2.7.2, 2.6.4). The issue arises from incomplete validation of input arguments, specifically num_segments, which is treated as a positive scalar and used to allocate th...

CVE-2022-29204 Missing validation causes denial of service in TensorFlow via `Conv3DBackpropFilterV2`

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of tf.rawops.UnsortedSegmentJoin does not fully validate the input arguments. This results in a CHECK-failure which can be used to trigger a denial of service attack. T...

CVE-2022-29204 Missing validation causes denial of service in TensorFlow via `Conv3DBackpropFilterV2`

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of tf.rawops.UnsortedSegmentJoin does not fully validate the input arguments. This results in a CHECK-failure which can be used to trigger a denial of service attack. T...

CVE-2022-29208

TensorFlow CVE-2022-29208: The tf.raw_ops.EditDistance implementation has incomplete validation, allowing crafted negative values to cause an out-of-bounds write and segmentation-fault based DoS. Affected versions are 2.6.4, 2.7.2, 2.8.1, and 2.9.0; patches exist and fixes are included in 2.9.0 (...

CVE-2022-29208

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of tf.rawops.EditDistance has incomplete validation. Users can pass negative values to cause a segmentation fault based denial of service. In multiple places throughout...

CVE-2022-29208 Segfault and Out-of-bounds Write write due to incomplete validation in TensorFlow

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of tf.rawops.EditDistance has incomplete validation. Users can pass negative values to cause a segmentation fault based denial of service. In multiple places throughout...

CVE-2022-29208 Segfault and Out-of-bounds Write write due to incomplete validation in TensorFlow

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of tf.rawops.EditDistance has incomplete validation. Users can pass negative values to cause a segmentation fault based denial of service. In multiple places throughout...

CVE-2022-29208 Segfault and Out-of-bounds Write write due to incomplete validation in TensorFlow

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of tf.rawops.EditDistance has incomplete validation. Users can pass negative values to cause a segmentation fault based denial of service. In multiple places throughout...

CVE-2022-29205 Segfault due to missing support for quantized types in TensorFlow

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, there is a potential for segfault / denial of service in TensorFlow by calling tf.compat.v1. ops which don't yet have support for quantized types, which was added after migration to...

CVE-2022-29205

TensorFlow CVE-2022-29205 affects the TensorFlow project where calling tf.compat.v1.* ops that do not yet support quantized types can dereference a null value in ParseDimensionValue, leading to a segfault and potential DoS. Public details specify affected versions are prior to 2.9.0, 2.8.1, 2.7.2...

CVE-2022-29205 Segfault due to missing support for quantized types in TensorFlow

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, there is a potential for segfault / denial of service in TensorFlow by calling tf.compat.v1. ops which don't yet have support for quantized types, which was added after migration to...

CVE-2022-29205 Segfault due to missing support for quantized types in TensorFlow

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, there is a potential for segfault / denial of service in TensorFlow by calling tf.compat.v1. ops which don't yet have support for quantized types, which was added after migration to...

CVE-2022-29205

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, there is a potential for segfault / denial of service in TensorFlow by calling tf.compat.v1. ops which don't yet have support for quantized types, which was added after migration to...