162 matches found
CVE-2022-23583
Tensorflow is an Open Source Machine Learning Framework. A malicious user can cause a denial of service by altering a SavedModel such that any binary op would trigger CHECK failures. This occurs when the protobuf part corresponding to the tensor arguments is modified such that the dtype no longer...
CVE-2022-23583 `CHECK`-failures in binary ops in Tensorflow
Tensorflow is an Open Source Machine Learning Framework. A malicious user can cause a denial of service by altering a SavedModel such that any binary op would trigger CHECK failures. This occurs when the protobuf part corresponding to the tensor arguments is modified such that the dtype no longer...
CVE-2022-23582 `CHECK`-failures in `TensorByteSize` in Tensorflow
Tensorflow is an Open Source Machine Learning Framework. A malicious user can cause a denial of service by altering a SavedModel such that TensorByteSize would trigger CHECK failures. TensorShape constructor throws a CHECK-fail if shape is partial or has a number of elements that would overflow t...
CVE-2022-23582
CVE-2022-23582 affects TensorFlow: a malicious SavedModel can trigger a denial of service via TensorByteSize CHECK failures caused by shape handling in TensorShape/PartialTensorShape (shape partials or large element counts). Root cause is TensorShape throwing on partial/large shapes; PartialTenso...
CVE-2022-23594 Out of bounds read in Tensorflow
Tensorflow is an Open Source Machine Learning Framework. The TFG dialect of TensorFlow MLIR makes several assumptions about the incoming GraphDef before converting it to the MLIR-based dialect. If an attacker changes the SavedModel format on disk to invalidate these assumptions and the GraphDef i...
CVE-2022-23594 Out of bounds read in Tensorflow
Tensorflow is an Open Source Machine Learning Framework. The TFG dialect of TensorFlow MLIR makes several assumptions about the incoming GraphDef before converting it to the MLIR-based dialect. If an attacker changes the SavedModel format on disk to invalidate these assumptions and the GraphDef i...
CVE-2022-23594
TensorFlow MLIR/TFG GraphDef handling flaw: if a SavedModel is on disk with altered format, conversion to the MLIR-based IR can crash the Python interpreter and may enable heap out-of-bounds reads. Affected scope includes the MLIR import path and associated GraphDef assumptions; exploitation deta...
CVE-2022-23590 Crash due to erroneous `StatusOr` in Tensorflow
Tensorflow is an Open Source Machine Learning Framework. A GraphDef from a TensorFlow SavedModel can be maliciously altered to cause a TensorFlow process to crash due to encountering a StatusOr value that is an error and forcibly extracting the value from it. We have patched the issue in multiple...
CVE-2022-23590
Tensorflow is an Open Source Machine Learning Framework. A GraphDef from a TensorFlow SavedModel can be maliciously altered to cause a TensorFlow process to crash due to encountering a StatusOr value that is an error and forcibly extracting the value from it. We have patched the issue in multiple...
CVE-2022-23590 Crash due to erroneous `StatusOr` in Tensorflow
Tensorflow is an Open Source Machine Learning Framework. A GraphDef from a TensorFlow SavedModel can be maliciously altered to cause a TensorFlow process to crash due to encountering a StatusOr value that is an error and forcibly extracting the value from it. We have patched the issue in multiple...
CVE-2022-23591 Stack overflow in Tensorflow
Tensorflow is an Open Source Machine Learning Framework. The GraphDef format in TensorFlow does not allow self recursive functions. The runtime assumes that this invariant is satisfied. However, a GraphDef containing a fragment such as the following can be consumed when loading a SavedModel. This...
CVE-2022-23591
Tensorflow is an Open Source Machine Learning Framework. The GraphDef format in TensorFlow does not allow self recursive functions. The runtime assumes that this invariant is satisfied. However, a GraphDef containing a fragment such as the following can be consumed when loading a SavedModel. This...
Google TensorFlow 安全漏洞
Google TensorFlow is an end-to-end open source platform for machine learning from Google. Google TensorFlow has a security vulnerability that could be exploited by an attacker to cause a denial of service by changing SavedModel...
PT-2022-16108 · Google · Tensorflow
Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.8.0 TensorFlow versions 2.7.1 and earlier TensorFlow versions 2.6.3 and earlier TensorFlow versions 2.5.3 and earlier Description: The GraphDef format in TensorFlow does not allow self recursive functions...
PT-2022-16103 · Google · Tensorflow
Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.8.0 TensorFlow versions 2.7.1 and earlier TensorFlow versions 2.6.3 and earlier TensorFlow versions 2.5.3 and earlier Description: A malicious user can cause a denial of service by altering a SavedModel such tha...
PT-2022-16098 · Google · Tensorflow
Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.8.0 TensorFlow versions 2.7.1 and earlier TensorFlow versions 2.6.3 and earlier TensorFlow versions 2.5.3 and earlier Description: The Grappler optimizer in TensorFlow can be used to cause a denial of service by...
Google Tensorflow 安全漏洞
Google TensorFlow is a suite of end-to-end open source platforms for machine learning from Google USA. Google TensorFlow has a security vulnerability that can be exploited by an attacker to cause a denial of service by modifying SavedModel...
PT-2022-16096 · Google · Tensorflow
Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.8.0 TensorFlow versions 2.7.1 and earlier TensorFlow versions 2.6.3 and earlier TensorFlow versions 2.5.3 and earlier Description: The Grappler optimizer in TensorFlow can be used to cause a denial of service by...
Google Tensorflow 安全漏洞
Google TensorFlow is an end-to-end open source platform for machine learning from Google. Google Tensorflow has a security vulnerability that could be exploited to cause a denial of service by modifying SavedModel to trigger a CHECK failure...
Google TensorFlow 缓冲区错误漏洞
Google TensorFlow is a suite of end-to-end open source platforms for machine learning from Google USA. Google TensorFlow suffers from a buffer overflow vulnerability that can be exploited by an attacker to change the format of the SavedModel on disk to invalidate these assumptions, and then...