26 matches found
PT-2023-20232 · Google · Tensorflow
Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.12.0 TensorFlow versions prior to 2.11.1 Description: TensorFlow is an open source platform for machine learning. The issue is a null point error in QuantizedMatMulWithBiasAndDequantize with MKL enabled. A fix i...
PYSEC-2021-287
TensorFlow is an end-to-end open source platform for machine learning. In affected versions due to incomplete validation in MKL implementation of requantization, an attacker can trigger undefined behavior via binding a reference to a null pointer or can access data outside the bounds of heap...
PT-2021-21782 · Google · Tensorflow
Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.6.0 TensorFlow versions 2.5.1 and earlier TensorFlow versions 2.4.3 and earlier TensorFlow versions 2.3.4 and earlier Description: In affected versions, due to incomplete validation in MKL implementation of...
Code injection
Intel PSET Application Install wrapper of Intel Parallel Studio XE, Intel System Studio, Intel VTune Amplifier, Intel Inspector, Intel Advisor, Intel MPI Library, Intel Trace Analyzer and Collector, Intel Integrated Performance Primitives, Cryptography for Intel Integrated Performance Primitives,...
Intel PSET Application Install wrapper contains an escalation of privilege vulnerability.
Summary: Intel PSET Application Install wrapper contains an escalation of privilege vulnerability. Description: Intel PSET Application Install wrapper of Intel Parallel Studio XE, Intel System Studio, Intel VTune Amplifier, Intel Inspector, Intel Advisor, Intel MPI Library, Intel Trace Analyzer a...
Intel® Math Kernel Library Insecure File Permission Local Privilege Escalation
Summary: The Intel® Math Kernel Library Intel® MKL is a library of highly optimized, extensively threaded math routines for science, engineering, and financial applications that require maximum performance. An updated version of the software is available for Intel® MKL users to mitigate this...