1065 matches found
CVE-2021-37677 Missing validation in shape inference for `Dequantize` in TensorFlow
TensorFlow is an end-to-end open source platform for machine learning. In affected versions the shape inference code for tf.rawops.Dequantize has a vulnerability that could trigger a denial of service via a segfault if an attacker provides invalid arguments. The shape inference implementation use...
CVE-2021-37677
TensorFlow is an end-to-end open source platform for machine learning. In affected versions the shape inference code for "tf.rawops.Dequantize" has a vulnerability that could trigger a denial of service via a segfault if an attacker provides invalid arguments. The shape inference "implementation"...
CVE-2021-37675
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...
PYSEC-2021-786
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...
PYSEC-2021-588
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...
PYSEC-2021-297
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...
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.SparseFillEmptyRows. The shape inference implementation does not validate that the input arguments are not empt...
Design/Logic Flaw
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...
PYSEC-2021-786
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...
PYSEC-2021-297
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...
PYSEC-2021-787
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-2021-37676 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-2021-37676
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"...
CVE-2021-37676
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-2021-37641
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-2021-37655
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...
PYSEC-2021-766
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-2021-568
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-2021-766
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-2021-37655 Heap OOB in `ResourceScatterUpdate` in TensorFlow
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...