799 matches found
CVE-2022-21729
The vulnerability CVE-2022-21729 affects TensorFlow: the UnravelIndex implementation is vulnerable to a division-by-zero caused by an integer overflow in the unravel_index_op. The issue is addressed with a fix in TensorFlow 2.8.0, with cherry-picks to older supported releases TensorFlow 2.7.1, 2....
CVE-2022-21725 Division by zero in Tensorflow
Tensorflow is an Open Source Machine Learning Framework. The estimator for the cost of some convolution operations can be made to execute a division by 0. The function fails to check that the stride argument is strictly positive. Hence, the fix is to add a check for the stride argument to ensure ...
CVE-2022-21725
Tensorflow is an Open Source Machine Learning Framework. The estimator for the cost of some convolution operations can be made to execute a division by 0. The function fails to check that the stride argument is strictly positive. Hence, the fix is to add a check for the stride argument to ensure ...
CVE-2022-21736
Tensorflow is an Open Source Machine Learning Framework. The implementation of SparseTensorSliceDataset has an undefined behavior: under certain condition it can be made to dereference a nullptr value. The 3 input arguments to SparseTensorSliceDataset represent a sparse tensor. However, there are...
CVE-2022-21733
Tensorflow is an Open Source Machine Learning Framework. The implementation of StringNGrams can be used to trigger a denial of service attack by causing an out of memory condition after an integer overflow. We are missing a validation on padwitdh and that result in computing a negative value for...
PYSEC-2022-57
Tensorflow is an Open Source Machine Learning Framework. The implementation of StringNGrams can be used to trigger a denial of service attack by causing an out of memory condition after an integer overflow. We are missing a validation on padwitdh and that result in computing a negative value for...
PYSEC-2022-56
Tensorflow is an Open Source Machine Learning Framework. The implementation of ThreadPoolHandle can be used to trigger a denial of service attack by allocating too much memory. This is because the numthreads argument is only checked to not be negative, but there is no upper bound on its value. Th...
Integer overflow
Tensorflow is an Open Source Machine Learning Framework. The implementation of AddManySparseToTensorsMap is vulnerable to an integer overflow which results in a CHECK-fail when building new TensorShape objects so, an assert failure based denial of service. We are missing some validation on the...
PYSEC-2022-115
Tensorflow is an Open Source Machine Learning Framework. The implementation of SparseTensorSliceDataset has an undefined behavior: under certain condition it can be made to dereference a nullptr value. The 3 input arguments to SparseTensorSliceDataset represent a sparse tensor. However, there are...
PYSEC-2022-111
Tensorflow is an Open Source Machine Learning Framework. The implementation of ThreadPoolHandle can be used to trigger a denial of service attack by allocating too much memory. This is because the numthreads argument is only checked to not be negative, but there is no upper bound on its value. Th...
PYSEC-2022-56
Tensorflow is an Open Source Machine Learning Framework. The implementation of ThreadPoolHandle can be used to trigger a denial of service attack by allocating too much memory. This is because the numthreads argument is only checked to not be negative, but there is no upper bound on its value. Th...
PYSEC-2022-111
Tensorflow is an Open Source Machine Learning Framework. The implementation of ThreadPoolHandle can be used to trigger a denial of service attack by allocating too much memory. This is because the numthreads argument is only checked to not be negative, but there is no upper bound on its value. Th...
PYSEC-2022-132
Tensorflow is an Open Source Machine Learning Framework. The implementation of AddManySparseToTensorsMap is vulnerable to an integer overflow which results in a CHECK-fail when building new TensorShape objects so, an assert failure based denial of service. We are missing some validation on the...
Integer overflow
Tensorflow is an Open Source Machine Learning Framework. The implementations of SparseCwise ops are vulnerable to integer overflows. These can be used to trigger large allocations so, OOM based denial of service or CHECK-fails when building new TensorShape objects so, assert failures based denial...
PYSEC-2022-110
Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for ConcatV2 can be used to trigger a denial of service attack via a segfault caused by a type confusion. The axis argument is translated into concatdim in the ConcatShapeHelper helper function. Then, a...
PYSEC-2022-112
Tensorflow is an Open Source Machine Learning Framework. The implementation of StringNGrams can be used to trigger a denial of service attack by causing an out of memory condition after an integer overflow. We are missing a validation on padwitdh and that result in computing a negative value for...
CVE-2022-21736
TensorFlow CVE-2022-21736: Undefined behavior in SparseTensorSliceDataset can dereference a nullptr under certain preconditions for sparse-tensor arguments. Affected in TensorFlow 2.5.x–2.7.x and fixed in 2.8.0; commits patch this behavior and are cherry-picked to 2.7.1, 2.6.3, and 2.5.3. Remedia...
CVE-2022-21736 Undefined behavior in Tensorflow
Tensorflow is an Open Source Machine Learning Framework. The implementation of SparseTensorSliceDataset has an undefined behavior: under certain condition it can be made to dereference a nullptr value. The 3 input arguments to SparseTensorSliceDataset represent a sparse tensor. However, there are...
CVE-2022-23567
CVE-2022-23567 concerns TensorFlow: integer overflows in SparseCwise ops can trigger large allocations (OOM) or CHECK failures during TensorShape construction due to missing input-shape validation. The vulnerability affects TensorFlow releases prior to the fixed version and is acknowledged with a...
CVE-2022-21733
TensorFlow StringNGrams vulnerability CVE-2022-21733 causes memory exhaustion (OOM) due to missing validation of pad_width, which can result in a negative ngram_width used during output allocation. Affects TensorFlow/StringNGrams path in multiple TF versions; remediation is to upgrade to TensorFl...