TensorFlow vulnerable to Int overflow in `RaggedRangeOp`

ImpactThe RaggedRangOp function takes an argument limits that is eventually used to construct a TensorShape as an int64. If limits is a very large float, it can overflow when converted to an int64. This triggers an InvalidArgument but also throws an abort signal that crashes the...

TensorFlow vulnerable to Int overflow in `RaggedRangeOp`

ImpactThe RaggedRangOp function takes an argument limits that is eventually used to construct a TensorShape as an int64. If limits is a very large float, it can overflow when converted to an int64. This triggers an InvalidArgument but also throws an abort signal that crashes the...

TensorFlow vulnerable to `CHECK` fail in `RaggedTensorToVariant`

ImpactIf RaggedTensorToVariant is given a rtnestedsplits list that contains tensors of ranks other than one, it results in a CHECK fail that can be used to trigger a denial of service attack.pythonimport tensorflow as tfbatchedinput = Truertnestedsplits = tf.constant0,32,64, shape=3,...

TensorFlow vulnerable to `CHECK` fail in `RaggedTensorToVariant`

ImpactIf RaggedTensorToVariant is given a rtnestedsplits list that contains tensors of ranks other than one, it results in a CHECK fail that can be used to trigger a denial of service attack.pythonimport tensorflow as tfbatchedinput = Truertnestedsplits = tf.constant0,32,64, shape=3,...

PYSEC-2026-3212 TensorFlow vulnerable to `CHECK` fail in `RaggedTensorToVariant`

Impact If RaggedTensorToVariant is given a rtnestedsplits list that contains tensors of ranks other than one, it results in a CHECK fail that can be used to trigger a denial of service attack. python import tensorflow as tf batchedinput = True rtnestedsplits = tf.constant0,32,64, shape=3,...

PYSEC-2026-3348 TensorFlow vulnerable to `CHECK` fail in `RaggedTensorToVariant`

Impact If RaggedTensorToVariant is given a rtnestedsplits list that contains tensors of ranks other than one, it results in a CHECK fail that can be used to trigger a denial of service attack. python import tensorflow as tf batchedinput = True rtnestedsplits = tf.constant0,32,64, shape=3,...

PT-2026-59995

Impact The RaggedRangOp function takes an argument limits that is eventually used to construct a TensorShape as an int64. If limits is a very large float, it can overflow when converted to an int64. This triggers an InvalidArgument but also throws an abort signal that crashes the program. python...

Denial of service in `tf.ragged.constant` due to lack of validation

ImpactThe implementation of tf.ragged.constant does not fully validate the input arguments. This results in a denial of service by consuming all available memory:pythonimport tensorflow as tftf.ragged.constantpylist=,raggedrank=8968073515812833920 PatchesWe have patched the issue in GitHub commit...

Denial of service in `tf.ragged.constant` due to lack of validation

ImpactThe implementation of tf.ragged.constant does not fully validate the input arguments. This results in a denial of service by consuming all available memory:pythonimport tensorflow as tftf.ragged.constantpylist=,raggedrank=8968073515812833920 PatchesWe have patched the issue in GitHub commit...

PYSEC-2026-3312 Denial of service in `tf.ragged.constant` due to lack of validation

Impact The implementation of tf.ragged.constant does not fully validate the input arguments. This results in a denial of service by consuming all available memory: python import tensorflow as tf tf.ragged.constantpylist=,raggedrank=8968073515812833920 Patches We have patched the issue in GitHub...

PYSEC-2026-3163 Denial of service in `tf.ragged.constant` due to lack of validation

Impact The implementation of tf.ragged.constant does not fully validate the input arguments. This results in a denial of service by consuming all available memory: python import tensorflow as tf tf.ragged.constantpylist=,raggedrank=8968073515812833920 Patches We have patched the issue in GitHub...

rockhopper Buffer Overflow vulnerability

A vulnerability, which was classified as critical, has been found in bwoodsend rockhopper up to 0.1.2. Affected by this issue is the function countrows of the file rockhopper/src/raggedarray.c of the component Binary Parser. The manipulation of the argument raw leads to buffer overflow. Local...

PYSEC-2026-1875 rockhopper Buffer Overflow vulnerability

A vulnerability, which was classified as critical, has been found in bwoodsend rockhopper up to 0.1.2. Affected by this issue is the function countrows of the file rockhopper/src/raggedarray.c of the component Binary Parser. The manipulation of the argument raw leads to buffer overflow. Local...

TensorFlow vulnerable to segfault in `RaggedBincount`

ImpactIf RaggedBincount is given an empty input tensor splits, it results in a segfault that can be used to trigger a denial of service attack.pythonimport tensorflow as tfbinaryoutput = Truesplits = tf.random.uniformshape=0, minval=-10000, maxval=10000, dtype=tf.int64, seed=-7430values =...

TensorFlow vulnerable to Int overflow in `RaggedRangeOp`

ImpactThe RaggedRangOp function takes an argument limits that is eventually used to construct a TensorShape as an int64. If limits is a very large float, it can overflow when converted to an int64. This triggers an InvalidArgument but also throws an abort signal that crashes the...

PYSEC-2026-1016 TensorFlow vulnerable to `CHECK` fail in `RaggedTensorToVariant`

Impact If RaggedTensorToVariant is given a rtnestedsplits list that contains tensors of ranks other than one, it results in a CHECK fail that can be used to trigger a denial of service attack. python import tensorflow as tf batchedinput = True rtnestedsplits = tf.constant0,32,64, shape=3,...

PYSEC-2026-983 Denial of service in `tf.ragged.constant` due to lack of validation

Impact The implementation of tf.ragged.constant does not fully validate the input arguments. This results in a denial of service by consuming all available memory: python import tensorflow as tf tf.ragged.constantpylist=,raggedrank=8968073515812833920 Patches We have patched the issue in GitHub...

Denial of service in `tf.ragged.constant` due to lack of validation

ImpactThe implementation of tf.ragged.constant does not fully validate the input arguments. This results in a denial of service by consuming all available memory:pythonimport tensorflow as tftf.ragged.constantpylist=,raggedrank=8968073515812833920 PatchesWe have patched the issue in GitHub commit...

CVE-2021-29516

TensorFlow is an end-to-end open source platform for machine learning. Calling tf.rawops.RaggedTensorToVariant with arguments specifying an invalid ragged tensor results in a null pointer dereference. The implementation of RaggedTensorToVariant...

PT-2024-11907

Name of the Vulnerable Software and Affected Versions bwoodsend rockhopper versions up to 0.1.2 Description A critical issue has been found in the Binary Parser component, specifically in the count rows function of the rockhopper/src/ragged array.c file. The manipulation of the raw argument leads...