2020 matches found
CVE-2022-23572
Tensorflow is an Open Source Machine Learning Framework. Under certain scenarios, TensorFlow can fail to specialize a type during shape inference. This case is covered by the "DCHECK" function however, "DCHECK" is a no-op in production builds and an assertion failure in debug builds. In the first...
CVE-2022-23572 Crash when type cannot be specialized in Tensorflow
Tensorflow is an Open Source Machine Learning Framework. Under certain scenarios, TensorFlow can fail to specialize a type during shape inference. This case is covered by the DCHECK function however, DCHECK is a no-op in production builds and an assertion failure in debug builds. In the first cas...
CVE-2022-23572 Crash when type cannot be specialized in Tensorflow
Tensorflow is an Open Source Machine Learning Framework. Under certain scenarios, TensorFlow can fail to specialize a type during shape inference. This case is covered by the DCHECK function however, DCHECK is a no-op in production builds and an assertion failure in debug builds. In the first cas...
CVE-2022-23572
Tensorflow is an Open Source Machine Learning Framework. Under certain scenarios, TensorFlow can fail to specialize a type during shape inference. This case is covered by the DCHECK function however, DCHECK is a no-op in production builds and an assertion failure in debug builds. In the first cas...
CVE-2022-23580
Tensorflow is an Open Source Machine Learning Framework. During shape inference, TensorFlow can allocate a large vector based on a value from a tensor controlled by the user. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, a...
CVE-2022-23580 Abort caused by allocating a vector that is too large in Tensorflow
Tensorflow is an Open Source Machine Learning Framework. During shape inference, TensorFlow can allocate a large vector based on a value from a tensor controlled by the user. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, a...
CVE-2022-23580
Tensorflow is an Open Source Machine Learning Framework. During shape inference, TensorFlow can allocate a large vector based on a value from a tensor controlled by the user. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, a...
CVE-2022-23580 Abort caused by allocating a vector that is too large in Tensorflow
Tensorflow is an Open Source Machine Learning Framework. During shape inference, TensorFlow can allocate a large vector based on a value from a tensor controlled by the user. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, a...
CVE-2022-23592 Out of bounds read in Tensorflow
Tensorflow is an Open Source Machine Learning Framework. TensorFlow's type inference can cause a heap out of bounds read as the bounds checking is done in a DCHECK which is a no-op during production. An attacker can control the inputidx variable such that ix would be larger than the number of...
CVE-2022-23592 Out of bounds read in Tensorflow
Tensorflow is an Open Source Machine Learning Framework. TensorFlow's type inference can cause a heap out of bounds read as the bounds checking is done in a DCHECK which is a no-op during production. An attacker can control the inputidx variable such that ix would be larger than the number of...
CVE-2022-23592
Tensorflow is an Open Source Machine Learning Framework. TensorFlow's type inference can cause a heap out of bounds read as the bounds checking is done in a "DCHECK" which is a no-op during production. An attacker can control the "inputidx" variable such that "ix" would be larger than the number ...
CVE-2022-23572: Improper Check for Unusual or Exceptional Conditions
Tensorflow is an Open Source Machine Learning Framework. Under certain scenarios, TensorFlow can fail to specialize a type during shape inference. This case is covered by the DCHECK function however, DCHECK is a no-op in production builds and an assertion failure in debug builds. In the first cas...
Google TensorFlow code issues and vulnerabilities
Google TensorFlow is an end-to-end open source platform for machine learning from Google USA. Google TensorFlow is vulnerable to a code issue that stems from the fact that TensorFlow may fail to specialize types during shape inference. No detailed vulnerability details are currently available...
PT-2022-16089
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 Description TensorFlow can fail to specialize a type during shape inference. This issue is covered by the DCHECK function, which is ...
CVE-2022-23592: Out-of-bounds Read
Tensorflow is an Open Source Machine Learning Framework. TensorFlow's type inference can cause a heap out of bounds read as the bounds checking is done in a DCHECK which is a no-op during production. An attacker can control the inputidx variable such that ix would be larger than the number of...
PT-2022-16109
Name of the Vulnerable Software and Affected Versions TensorFlow version 2.8.0 Description The type inference in TensorFlow can cause a heap out of bounds read due to inadequate bounds checking, which is done in a DCHECK that is a no-op during production. An attacker can manipulate the input idx...
PT-2022-16097
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 During shape inference, TensorFlow can allocate a large vector based on a value fr...
CVE-2022-23580: Uncontrolled Resource Consumption
Tensorflow is an Open Source Machine Learning Framework. During shape inference, TensorFlow can allocate a large vector based on a value from a tensor controlled by the user. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, a...
PYSEC-2022-61
Tensorflow is an Open Source Machine Learning Framework. The implementation of Bincount operations allows malicious users to cause denial of service by passing in arguments which would trigger a CHECK-fail. There are several conditions that the input arguments must satisfy. Some are not caught...
Design/Logic Flaw
Tensorflow is an Open Source Machine Learning Framework. The implementation of Bincount operations allows malicious users to cause denial of service by passing in arguments which would trigger a CHECK-fail. There are several conditions that the input arguments must satisfy. Some are not caught...