Denial Of Service (DoS)

tensorflow is vulnerable to denial of service. The vulnerability exists due to the check failure in the randomop.cc and randompoissonop.cc, allowing an attacker to crash the application by providing a large input shapes and rates...

GHSA-H7FF-CFC9-WMMH TensorFlow vulnerable to `CHECK` fail in `FakeQuantWithMinMaxVarsPerChannelGradient`

Impact When tf.quantization.fakequantwithminmaxvarsperchannelgradient receives input min or max of rank other than 1, it gives a CHECK fail that can trigger a denial of service attack. python import tensorflow as tf arg0=tf.random.uniformshape=1,1, dtype=tf.float32, maxval=None...

PT-2022-23102

Name of the Vulnerable Software and Affected Versions TensorFlow versions prior to 2.10.0 TensorFlow versions 2.9.1 and earlier TensorFlow versions 2.8.1 and earlier TensorFlow versions 2.7.2 and earlier Description The issue occurs when RandomPoissonV2 receives large input shape and rates,...

PT-2022-23040

Name of the Vulnerable Software and Affected Versions TensorFlow versions prior to 2.10.0 TensorFlow versions 2.9.1 and earlier TensorFlow versions 2.8.1 and earlier TensorFlow versions 2.7.2 and earlier Description The implementation of tf.reshape op in TensorFlow is vulnerable to a denial of...

Google TensorFlow 安全漏洞

Google TensorFlow is a suite of end-to-end open source platforms for machine learning from Google Inc. in the United States. Google TensorFlow suffers from a security vulnerability that stems from ParameterizedTruncatedNormal assuming that shape is of type int32. A valid shape of type int64 cause...

Google TensorFlow 安全漏洞

Google TensorFlow is a suite of end-to-end open source platforms for machine learning from Google, Inc. in the United States. A security vulnerability exists in Google TensorFlow, which stems from a denial-of-service attack triggered by an assertion failure given when tf.random.gamma receives a...

PT-2022-23103

Name of the Vulnerable Software and Affected Versions TensorFlow versions prior to 2.10.0 TensorFlow versions 2.9.1 and earlier TensorFlow versions 2.8.1 and earlier TensorFlow versions 2.7.2 and earlier Description The issue occurs when tf.random.gamma receives large input shape and rates,...

Malicious Package

Overview @uc-maps/parcel-shapes is a malicious package. The package's name is based on existing repositories, namespaces, or components used by popular companies in an effort to trick employees into downloading it, also known as 'dependency confusion'. Therefore, you're only vulnerable if this...

MAL-2022-682 Malicious code in @uc-maps/parcel-shapes (npm)

--- -= Per source details. Do not edit below this line.=- Source: ghsa-malware 2a5355ff2e8d842acde41df4dad7dba63eabaac16403d4789e204cdcbd93035e Any computer that has this package installed or running should be considered fully compromised. All secrets and keys stored on that computer should be...

Denial Of Service (DoS)

tensorflow is vulnerable to denial of service. Building invalid/overflowing tensor shapes leads to CHECK-fails, causing an application crash...

GHSA-WM93-F238-7V37 Integer overflow in Tensorflow

Impact The implementation of OpLevelCostEstimator::CalculateOutputSize is vulnerable to an integer overflow if an attacker can create an operation which would involve tensors with large enough number of elements: cc for const auto& dim : outputshape.dim outputsize = dim.size; Here, we can have a...

GHSA-QJ5R-F9MV-RFFH `CHECK`-fails when building invalid tensor shapes in Tensorflow

Impact Multiple operations in TensorFlow can be used to trigger a denial of service via CHECK-fails i.e., assertion failures. This is similar to TFSA-2021-198 CVE-2021-41197 and has similar fixes. Patches We have patched the reported issues in multiple GitHub commits. It is possible that other...

GHSA-GWCX-JRX4-92W2 Segfault in `simplifyBroadcast` in Tensorflow

Impact The simplifyBroadcast function in the MLIR-TFRT infrastructure in TensorFlow is vulnerable to a segfault hence, denial of service, if called with scalar shapes. cc sizet maxRank = 0; for auto shape : llvm::enumerateshapes auto foundshape = analysis.dimensionsForShapeTensorshape.value; if...

Segfault in `simplifyBroadcast` in Tensorflow

Impact The simplifyBroadcast function in the MLIR-TFRT infrastructure in TensorFlow is vulnerable to a segfault hence, denial of service, if called with scalar shapes. cc sizet maxRank = 0; for auto shape : llvm::enumerateshapes auto foundshape = analysis.dimensionsForShapeTensorshape.value; if...

Stack overflow

Tensorflow is an Open Source Machine Learning Framework. The simplifyBroadcast function in the MLIR-TFRT infrastructure in TensorFlow is vulnerable to a segfault hence, denial of service, if called with scalar shapes. If all shapes are scalar, then maxRank is 0, so we build an empty SmallVector...

PYSEC-2022-85

Tensorflow is an Open Source Machine Learning Framework. The implementation of OpLevelCostEstimator::CalculateOutputSize is vulnerable to an integer overflow if an attacker can create an operation which would involve tensors with large enough number of elements. We can have a large enough number ...

PYSEC-2022-157

Tensorflow is an Open Source Machine Learning Framework. The simplifyBroadcast function in the MLIR-TFRT infrastructure in TensorFlow is vulnerable to a segfault hence, denial of service, if called with scalar shapes. If all shapes are scalar, then maxRank is 0, so we build an empty SmallVector...

PYSEC-2022-102

Tensorflow is an Open Source Machine Learning Framework. The simplifyBroadcast function in the MLIR-TFRT infrastructure in TensorFlow is vulnerable to a segfault hence, denial of service, if called with scalar shapes. If all shapes are scalar, then maxRank is 0, so we build an empty SmallVector...

CVE-2022-23576

Tensorflow is an Open Source Machine Learning Framework. The implementation of OpLevelCostEstimator::CalculateOutputSize is vulnerable to an integer overflow if an attacker can create an operation which would involve tensors with large enough number of elements. We can have a large enough number ...

CVE-2022-23593

Tensorflow is an Open Source Machine Learning Framework. The simplifyBroadcast function in the MLIR-TFRT infrastructure in TensorFlow is vulnerable to a segfault hence, denial of service, if called with scalar shapes. If all shapes are scalar, then maxRank is 0, so we build an empty SmallVector...