502 matches found
PT-2022-16813 · Winaprs · Winaprs
Name of the Vulnerable Software and Affected Versions: WinAPRS version 2.9.0 Description: An issue was discovered in the processing of national.txt, which allows a local attacker to cause a denial of service or possibly achieve code execution through a buffer overflow. This issue only affects...
Code injection in `saved_model_cli` in TensorFlow
Impact TensorFlow's savedmodelcli tool is vulnerable to a code injection: savedmodelcli run --inputexprs 'x=print"malicious code to run"' --dir ./ --tagset serve --signaturedef servingdefault This can be used to open a reverse shell savedmodelcli run --inputexprs 'hello=exec"""\nimport...
GHSA-5WPJ-C6F7-24X8 Undefined behavior when users supply invalid resource handles
Impact Multiple TensorFlow operations misbehave in eager mode when the resource handle provided to them is invalid: python import tensorflow as tf tf.rawops.QueueIsClosedV2handle= python import tensorflow as tf tf.summary.flushwriter= In graph mode, it would have been impossible to perform these...
Segfault due to missing support for quantized types
Impact There is a potential for segfault / denial of service in TensorFlow by calling tf.compat.v1. ops which don't yet have support for quantized types added after migration to TF 2.x: python import numpy as np import tensorflow as tf...
Missing validation results in undefined behavior in `QuantizedConv2D`
Impact The implementation of tf.rawops.QuantizedConv2D does not fully validate the input arguments: python import tensorflow as tf input = tf.constant1, shape=1, 2, 3, 3, dtype=tf.quint8 filter = tf.constant1, shape=1, 2, 3, 3, dtype=tf.quint8 bad args mininput = tf.constant, shape=0,...
Missing validation causes denial of service via `LoadAndRemapMatrix`
Impact The implementation of tf.rawops.LoadAndRemapMatrix does not fully validate the input arguments. This results in a CHECK-failure which can be used to trigger a denial of service attack: python import tensorflow as tf ckptpath = tf.constant...
Missing validation causes denial of service via `Conv3DBackpropFilterV2`
Impact The implementation of tf.rawops.Conv3DBackpropFilterV2 does not fully validate the input arguments. This results in a CHECK-failure which can be used to trigger a denial of service attack: python import tensorflow as tf tf.rawops.Conv3DBackpropFilterV2 input=tf.constant.5053710941,...
Improper Input Validation
Overview Affected versions of this package are vulnerable to Improper Input Validation. When specifying a trusted server CA certificate via the servercacert setting, the Ruby agent will not properly verify the certificate returned by the APM server. Remediation Upgrade elastic-apm to version 2.9....
Google TensorFlow code issue vulnerability (CNVD-2022-44171)
Google TensorFlow is an end-to-end open source platform for machine learning from Google, Inc. Google TensorFlow versions prior to 2.9.0, 2.8.1, 2.7.2, and 2.6.4 are vulnerable to a code issue stemming from tf.rawops. QuantizedConv2D does not fully validate input parameters. No detailed...
Google TensorFlow Input Validation Error Vulnerability (CVE-2022-29192)
Google TensorFlow, an end-to-end open source platform for machine learning from Google, Inc. is vulnerable to an input validation error in versions prior to 2.9.0, 2.8.1, 2.7.2, and 2.6.4, which originates in tf.rawops QuantizeAndDequantizeV4Grad does not fully validate the input parameters and c...
Google TensorFlow Input Validation Error Vulnerability (CNVD-2022-44167)
Google TensorFlow, an end-to-end open source platform for machine learning from Google, Inc. is vulnerable to input validation errors in versions prior to 2.9.0, 2.8.1, 2.7.2, and 2.6.4, stemming from tf.rawops LoadAndRemapMatrix does not fully validate the input parameters and can be exploited t...
Google TensorFlow Input Validation Error Vulnerability (CNVD-2022-44209)
Google TensorFlow is a suite of end-to-end open source platforms for machine learning from Google USA. An input validation error vulnerability exists in Google TensorFlow versions prior to 2.9.0, prior to 2.8.1, prior to 2.7.2, and prior to 2.6.4, which stems from the presence of a non-numeric...
Google TensorFlow suffers from an unspecified vulnerability (CNVD-2022-44211)
Google TensorFlow is a suite of end-to-end open source platforms for machine learning from Google USA. A security vulnerability exists in Google TensorFlow versions prior to 2.9.0, prior to 2.8.1, prior to 2.7.2, and prior to 2.6.4, which stems from incorrect logic when comparing sizet when writi...
Type confusion
TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the macros that TensorFlow uses for writing assertions e.g., CHECKLT, CHECKGT, etc. have an incorrect logic when comparing sizet and int values. Due to type conversion rules, several of t...
Google TensorFlow代码注入漏洞
Google TensorFlow is a suite of end-to-end open source platforms for machine learning from Google USA. A code injection vulnerability exists in TensorFlow versions prior to 2.9.0, prior to 2.8.1, prior to 2.7.2, and prior to 2.6.4, with no detailed vulnerability details provided at this time...
CVE-2022-29210
TensorFlow is an open source platform for machine learning. In version 2.8.0, the TensorKey hash function used total estimated AllocatedBytes, which a is an estimate per tensor, and b is a very poor hash function for constants e.g. int32t. It also tried to access individual tensor bytes through...
CVE-2022-29211
TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of tf.histogramfixedwidth is vulnerable to a crash when the values array contain Not a Number NaN elements. The implementation assumes that all floating point operation...
CVE-2022-29201
TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of tf.rawops.QuantizedConv2D does not fully validate the input arguments. In this case, references get bound to nullptr for each argument that is empty. Versions 2.9.0,...
CVE-2022-29207 Undefined behavior when users supply invalid resource handles in TensorFlow
TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, multiple TensorFlow operations misbehave in eager mode when the resource handle provided to them is invalid. In graph mode, it would have been impossible to perform these API calls, but...
CVE-2022-29197
TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of tf.rawops.UnsortedSegmentJoin does not fully validate the input arguments. This results in a CHECK-failure which can be used to trigger a denial of service attack. T...