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-2021-37635

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...

PYSEC-2021-773

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...

PYSEC-2021-564

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...

Null pointer dereference

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...

PYSEC-2021-577

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...

PYSEC-2021-554

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...

Out-of-bounds

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...

PYSEC-2021-569

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...

Null pointer dereference

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...

Null pointer dereference

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...

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...

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...

PYSEC-2021-559

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...

PYSEC-2021-557

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...

Out-of-bounds

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...

PYSEC-2021-570

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...

PYSEC-2021-574

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...

PYSEC-2021-568

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...

PYSEC-2021-572

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...