5534 matches found
PYSEC-2020-328
In TensorFlow Lite before versions 2.2.1 and 2.3.1, models using segment sum can trigger a denial of service by causing an out of memory allocation in the implementation of segment sum. Since code uses the last element of the tensor holding them to determine the dimensionality of output tensor,...
PYSEC-2020-327
In TensorFlow Lite before versions 2.2.1 and 2.3.1, models using segment sum can trigger writes outside of bounds of heap allocated buffers by inserting negative elements in the segment ids tensor. Users having access to segmentidsdata can alter outputindex and then write to outside of outputdata...
PYSEC-2020-292
In TensorFlow Lite before versions 2.2.1 and 2.3.1, models using segment sum can trigger writes outside of bounds of heap allocated buffers by inserting negative elements in the segment ids tensor. Users having access to segmentidsdata can alter outputindex and then write to outside of outputdata...
PYSEC-2020-294
In TensorFlow Lite before versions 2.2.1 and 2.3.1, models using segment sum can trigger a write out bounds / segmentation fault if the segment ids are not sorted. Code assumes that the segment ids are in increasing order, using the last element of the tensor holding them to determine the...
PYSEC-2020-327
In TensorFlow Lite before versions 2.2.1 and 2.3.1, models using segment sum can trigger writes outside of bounds of heap allocated buffers by inserting negative elements in the segment ids tensor. Users having access to segmentidsdata can alter outputindex and then write to outside of outputdata...
PYSEC-2020-137
In TensorFlow Lite before versions 2.2.1 and 2.3.1, models using segment sum can trigger a write out bounds / segmentation fault if the segment ids are not sorted. Code assumes that the segment ids are in increasing order, using the last element of the tensor holding them to determine the...
PYSEC-2020-135
In TensorFlow Lite before versions 2.2.1 and 2.3.1, models using segment sum can trigger writes outside of bounds of heap allocated buffers by inserting negative elements in the segment ids tensor. Users having access to segmentidsdata can alter outputindex and then write to outside of outputdata...
PYSEC-2020-135
In TensorFlow Lite before versions 2.2.1 and 2.3.1, models using segment sum can trigger writes outside of bounds of heap allocated buffers by inserting negative elements in the segment ids tensor. Users having access to segmentidsdata can alter outputindex and then write to outside of outputdata...
PYSEC-2020-136
In TensorFlow Lite before versions 2.2.1 and 2.3.1, models using segment sum can trigger a denial of service by causing an out of memory allocation in the implementation of segment sum. Since code uses the last element of the tensor holding them to determine the dimensionality of output tensor,...
PYSEC-2020-292
In TensorFlow Lite before versions 2.2.1 and 2.3.1, models using segment sum can trigger writes outside of bounds of heap allocated buffers by inserting negative elements in the segment ids tensor. Users having access to segmentidsdata can alter outputindex and then write to outside of outputdata...
PYSEC-2020-294
In TensorFlow Lite before versions 2.2.1 and 2.3.1, models using segment sum can trigger a write out bounds / segmentation fault if the segment ids are not sorted. Code assumes that the segment ids are in increasing order, using the last element of the tensor holding them to determine the...
CVE-2020-15212
In TensorFlow Lite before versions 2.2.1 and 2.3.1, models using segment sum can trigger writes outside of bounds of heap allocated buffers by inserting negative elements in the segment ids tensor. Users having access to segmentidsdata can alter outputindex and then write to outside of outputdata...
CVE-2020-15213
In TensorFlow Lite before versions 2.2.1 and 2.3.1, models using segment sum can trigger a denial of service by causing an out of memory allocation in the implementation of segment sum. Since code uses the last element of the tensor holding them to determine the dimensionality of output tensor,...
CVE-2020-15214
In TensorFlow Lite before versions 2.2.1 and 2.3.1, models using segment sum can trigger a write out bounds / segmentation fault if the segment ids are not sorted. Code assumes that the segment ids are in increasing order, using the last element of the tensor holding them to determine the...
GHSA-HX2X-85GR-WRPQ Out of bounds access in tensorflow-lite
Impact In TensorFlow Lite models using segment sum can trigger writes outside of bounds of heap allocated buffers by inserting negative elements in the segment ids tensor:...
GHSA-P2CQ-CPRG-FRVM Out of bounds write in tensorflow-lite
Impact In TensorFlow Lite models using segment sum can trigger a write out bounds / segmentation fault if the segment ids are not sorted. Code assumes that the segment ids are in increasing order, using the last element of the tensor holding them to determine the dimensionality of output tensor:...
PT-2020-14283 · Google · Tensorflow Lite
Name of the Vulnerable Software and Affected Versions: TensorFlow Lite versions prior to 2.2.1 TensorFlow Lite versions prior to 2.3.1 Description: The issue allows models using segment sum to trigger writes outside of bounds of heap allocated buffers by inserting negative elements in the segment...
PT-2020-14285 · Google · Tensorflow Lite
Name of the Vulnerable Software and Affected Versions: TensorFlow Lite versions prior to 2.2.1 TensorFlow Lite versions prior to 2.3.1 Description: The issue arises when models using segment sum have unsorted segment ids, causing the code to assume they are in increasing order. This leads to...
Information disclosure
A missing permission check in Jenkins Liquibase Runner Plugin 1.4.7 and earlier allows attackers with Overall/Read permission to enumerate credentials IDs of credentials stored in Jenkins...
Dnxfirewall - A Pure Python Next Generation Firewall Built On Top Of Linux Kernel/Netfilter
DNX Firewall is an optimized/high performance collection of applications or services to convert a standard linux system into a zone based next generation firewall. All software is designed to run in conjunction with eachother, but with a modular design certain aspects can be completely removed wi...