572 matches found
Arbitrary Code Execution
tensorflow is vulnerable to arbitrary code execution. The vulnerability exists through a memory corruption issue in the implementation of dlpack.todlpack, as the pybind11 does not restrict Python objects to be parsed and casted...
Tensorflow Data Validation Vulnerability
Google TensorFlow is a suite of end-to-end open source platforms for machine learning from Google USA. A security vulnerability exists in Tensorflow version 2.3.0 that stems from the inability of the SparseCountSparseOutput and RaggedCountSparseOutput implementations to verify that the weights...
PYSEC-2020-114
In Tensorflow before versions 2.2.1 and 2.3.1, if a user passes an invalid argument to dlpack.todlpack the expected validations will cause variables to bind to nullptr while setting a status variable to the error condition. However, this status argument is not properly checked. Hence, code...
PYSEC-2020-274
In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the SparseFillEmptyRowsGrad implementation has incomplete validation of the shapes of its arguments. Although reverseindexmapt and gradvaluest are accessed in a similar pattern, only reverseindexmapt is validated to be of proper...
PYSEC-2020-121
In Tensorflow before version 2.3.1, the SparseCountSparseOutput implementation does not validate that the input arguments form a valid sparse tensor. In particular, there is no validation that the indices tensor has the same shape as the values one. The values in these tensors are always accessed...
PYSEC-2020-126
In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, by controlling the fill argument of tf.strings.asstring, a malicious attacker is able to trigger a format string vulnerability due to the way the internal format use in a printf call is constructed. This may result in segmentati...
GHSA-X7RP-74X2-MJF3 Segfault in Tensorflow
Impact The RaggedCountSparseOutput implementation does not validate that the input arguments form a valid ragged tensor. In particular, there is no validation that the values in the splits tensor generate a valid partitioning of the values tensor. Thus, the following code sets up conditions to...
GHSA-PG59-2F92-5CPH Heap buffer overflow in Tensorflow
Impact The SparseCountSparseOutput and RaggedCountSparseOutput implementations don't validate that the weights tensor has the same shape as the data. The check exists for DenseCountSparseOutput, where both tensors are fully specified:...
PYSEC-2020-304
TensorFlow before 1.7.0 has an integer overflow that causes an out-of-bounds read, possibly causing disclosure of the contents of process memory. This occurs in the DecodeBmp feature of the BMP decoder in core/kernels/decodebmpop.cc...
Denial Of Service (DoS)
tensorflow is vulnerable to denial of service DoS. The vulnerability exists due to the lack of checks during conversion of a string in eager mode from Python to a tf.float16 value...
Denial Of Service (DoS)
tensorflow is vulnerable to denial of service DoS attacks. The vulnerability exists as it was possible to pass a null value into strcat when parsing a GIF, causing DoS attacks...