PYSEC-2020-322

In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, to mimic Python's indexing with negative values, TFLite uses ResolveAxis to convert negative values to positive indices. However, the only check that the converted index is now valid is only present in debug builds. If the...

PYSEC-2020-287

In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, to mimic Python's indexing with negative values, TFLite uses ResolveAxis to convert negative values to positive indices. However, the only check that the converted index is now valid is only present in debug builds. If the...

PYSEC-2020-313

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...

Design/Logic Flaw

In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, to mimic Python's indexing with negative values, TFLite uses ResolveAxis to convert negative values to positive indices. However, the only check that the converted index is now valid is only present in debug builds. If the...

PYSEC-2020-312

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 rank 2. This tensor must be a matrix because code assumes its elements are access...

PYSEC-2020-120

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 rank 2. This tensor must be a matrix because code assumes its elements are access...

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...

CVE-2020-15207

In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, to mimic Python's indexing with negative values, TFLite uses ResolveAxis to convert negative values to positive indices. However, the only check that the converted index is now valid is only present in debug builds. If the...

CVE-2020-15197

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 rank 2. This tensor must be a matrix because code assumes its elements are access...

CVE-2020-15198 Heap buffer overflow in Tensorflow

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...

CVE-2020-15198

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...

GHSA-CVPC-8PHH-8F45 Out of bounds access in tensorflow-lite

Impact In TensorFlow Lite, saved models in the flatbuffer format use a double indexing scheme: a model has a set of subgraphs, each subgraph has a set of operators and each operator has a set of input/output tensors. The flatbuffer format uses indices for the tensors, indexing into an array of...

GHSA-QC53-44CJ-VFVX Denial of Service in Tensorflow

Impact 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 rank 2. This tensor must be a matrix because code assumes its elements are accessed as elements of a matrix:...

PT-2020-14268 · Google · Tensorflow

Name of the Vulnerable Software and Affected Versions: Tensorflow versions prior to 2.3.1 Description: The SparseCountSparseOutput implementation does not validate that the input arguments form a valid sparse tensor, specifically that the indices tensor has rank 2, which must be a matrix. Malicio...

PT-2020-14278 · Google +1 · Tensorflow +1

Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 1.15.4 TensorFlow versions prior to 2.0.3 TensorFlow versions prior to 2.1.2 TensorFlow versions prior to 2.2.1 TensorFlow versions prior to 2.3.1 Description: The issue arises from TensorFlow's attempt to mimic...

CVE-2019-13998

u'Lack of check that the TX FIFO write and read indices that are read from shared RAM are less than the FIFO size results into memory corruption and potential information leakage' in Snapdragon Auto, Snapdragon Compute, Snapdragon Connectivity, Snapdragon Consumer Electronics Connectivity,...

EulerOS Virtualization 3.0.2.2 : libjpeg-turbo (EulerOS-SA-2020-1483)

According to the versions of the libjpeg-turbo package installed, the EulerOS Virtualization installation on the remote host is affected by the following vulnerabilities : - get8bitrow in rdbmp.c in libjpeg-turbo through 1.5.90 and MozJPEG through 3.3.1 allows attackers to cause a denial of servi...

PT-2020-5187 · Php +1 · Php +1

Name of the Vulnerable Software and Affected Versions: PHP versions 7.2.x through 7.2.29 PHP versions 7.3.x through 7.3.16 PHP versions 7.4.x through 7.4.4 Description: The issue is related to the urldecode function in PHP, which can be exploited to access memory locations past the allocated buff...

The vulnerability in the V8 browser kernel of Google Chrome allows a hacker to gain access to confidential data, compromise its integrity, and cause service failures.

The vulnerability in the V8 browser kernel of Google Chrome is related to incorrect calculations of array positions. Exploiting this vulnerability can allow a remote attacker to access confidential data, compromise its integrity, and cause service failures...

UBUNTU-CVE-2019-20334

In Netwide Assembler NASM 2.14.02, stack consumption occurs in expr functions in asm/eval.c. This potentially affects the relationships among expr0, expr1, expr2, expr3, expr4, expr5, and expr6 and stdscan in asm/stdscan.c. This is similar to CVE-2019-6290 and CVE-2019-6291...