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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

CVE-2021-37635

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of sparse reduction operations in TensorFlow can trigger accesses outside of bounds of heap allocated data. The implementation fails to validate that each reduction group does not overfl...

CVE-2021-37641

TensorFlow is an end-to-end open source platform for machine learning. In affected versions if the arguments to tf.rawops.RaggedGather don't determine a valid ragged tensor code can trigger a read from outside of bounds of heap allocated buffers. The implementation directly reads the first...

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...

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...

CVE-2021-37635

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of sparse reduction operations in TensorFlow can trigger accesses outside of bounds of heap allocated data. The implementation fails to validate that each reduction group does not overfl...

Integer overflow

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...

Design/Logic Flaw

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...

Out-of-bounds

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...

Design/Logic Flaw

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...

Heap overflow

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...