595 matches found
PYSEC-2021-599
TensorFlow is an end-to-end open source platform for machine learning. In affected versions the strided slice implementation in TFLite has a logic bug which can allow an attacker to trigger an infinite loop. This arises from newly introduced support for ellipsis in axis definition. An attacker ca...
CVE-2021-37689 Null pointer dereference in TensorFlow Lite MLIR optimizations
TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can craft a TFLite model that would trigger a null pointer dereference, which would result in a crash and denial of service. This is caused by the MLIR optimization of L2NormalizeReduceAxis...
CVE-2021-37675 Division by 0 in most convolution operators in TensorFlow
TensorFlow is an end-to-end open source platform for machine learning. In affected versions most implementations of convolution operators in TensorFlow are affected by a division by 0 vulnerability where an attacker can trigger a denial of service via a crash. The shape inference implementation i...
CVE-2021-37676 Reference binding to nullptr in shape inference in TensorFlow
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.SparseFillEmptyRows. The shape inference implementation does not validate that the input arguments are not empt...
CVE-2021-37671 Reference binding to nullptr in map operations in TensorFlow
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.Map and tf.rawops.OrderedMap operations. The implementation has a check in place to ensure that indices is in...
CVE-2021-37666 Reference binding to nullptr in `RaggedTensorToVariant` in TensorFlow
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.RaggedTensorToVariant. The implementation has an incomplete validation of the splits values, missing the case...
CVE-2021-37652 Use after free in boosted trees creation in TensorFlow
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...
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...
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-2021-37650
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-2021-37655
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-2021-37651
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-2021-37635
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-2021-37644
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...
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...
Integer overflow
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...
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...
Integer overflow
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...
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...