SUSE CVE-2021-37643

TensorFlow is an end-to-end open source platform for machine learning. If a user does not provide a valid padding value to tf.rawops.MatrixDiagPartOp, then the code triggers a null pointer dereference if input is empty or produces invalid behavior, ignoring all values after the first. The...

SUSE CVE-2021-37644

TensorFlow is an end-to-end open source platform for machine learning. In affected versions providing a negative element to numelements list argument of tf.rawops.TensorListReserve causes the runtime to abort the process due to reallocating a std::vector to have a negative number of elements. The...

SUSE CVE-2021-37645

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of tf.rawops.QuantizeAndDequantizeV4Grad is vulnerable to an integer overflow issue caused by converting a signed integer value to an unsigned one and then allocating memory based on thi...

SUSE CVE-2021-37646

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of tf.rawops.StringNGrams is vulnerable to an integer overflow issue caused by converting a signed integer value to an unsigned one and then allocating memory based on this value. The...

SUSE CVE-2021-37648

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the code for tf.rawops.SaveV2 does not properly validate the inputs and an attacker can trigger a null pointer dereference. The implementation uses ValidateInputs to check that the input arguments are vali...

SUSE CVE-2021-37650

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation for tf.rawops.ExperimentalDatasetToTFRecord and tf.rawops.DatasetToTFRecord can trigger heap buffer overflow and segmentation fault. The implementation assumes that all records in the...

SUSE CVE-2021-37651

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation for tf.rawops.FractionalAvgPoolGrad can be tricked into accessing data outside of bounds of heap allocated buffers. The implementation does not validate that the input tensor is non-empt...

SUSE CVE-2021-37652

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation for tf.rawops.BoostedTreesCreateEnsemble can result in a use after free error if an attacker supplies specially crafted arguments. The implementation uses a reference counted resource an...

SUSE CVE-2021-37649

TensorFlow is an end-to-end open source platform for machine learning. The code for tf.rawops.UncompressElement can be made to trigger a null pointer dereference. The implementation obtains a pointer to a CompressedElement from a Variant tensor and then proceeds to dereference it for decompressin...

SUSE CVE-2021-37656

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause undefined behavior via binding a reference to null pointer in tf.rawops.RaggedTensorToSparse. The implementation has an incomplete validation of the splits values: it does not check...

SUSE CVE-2021-37654

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can trigger a crash via a CHECK-fail in debug builds of TensorFlow using tf.rawops.ResourceGather or a read from outside the bounds of heap allocated data in the same API in a release build. Th...

SUSE CVE-2021-37653

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can trigger a crash via a floating point exception in tf.rawops.ResourceGather. The implementation computes the value of a value, batchsize, and then divides by it without checking that this...

SUSE CVE-2021-37655

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can trigger a read from outside of bounds of heap allocated data by sending invalid arguments to tf.rawops.ResourceScatterUpdate. The implementation has an incomplete validation of the...

SUSE CVE-2021-37657

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause undefined behavior via binding a reference to null pointer in all operations of type tf.rawops.MatrixDiagV. The implementation has incomplete validation that the value of k is a valid...

SUSE CVE-2021-37659

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause undefined behavior via binding a reference to null pointer in all binary cwise operations that don't require broadcasting e.g., gradients of binary cwise operations. The implementatio...

SUSE CVE-2021-37658

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause undefined behavior via binding a reference to null pointer in all operations of type tf.rawops.MatrixSetDiagV. The implementation has incomplete validation that the value of k is a...

SUSE CVE-2021-37661

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause a denial of service in boostedtreescreatequantilestreamresource by using negative arguments. The implementation does not validate that numstreams only contains non-negative numbers. I...

SUSE CVE-2021-37660

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause a floating point exception by calling inplace operations with crafted arguments that would result in a division by 0. The implementation has a logic error: it should skip processing i...

SUSE CVE-2021-37662

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can generate undefined behavior via a reference binding to nullptr in BoostedTreesCalculateBestGainsPerFeature and similar attack can occur in BoostedTreesCalculateBestFeatureSplitV2. The...

SUSE CVE-2021-37664

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can read from outside of bounds of heap allocated data by sending specially crafted illegal arguments to BoostedTreesSparseCalculateBestFeatureSplit. The implementation needs to validate that...