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 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...

PT-2022-16089 · 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 Description: TensorFlow can fail to specialize a type during shape inference. This issue is covered by the DCHECK function, which i...

Google TensorFlow 代码问题漏洞

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-2022-16109 · Google · Tensorflow

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 id...

PT-2022-16097 · 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: During shape inference, TensorFlow can allocate a large vector based on a value...

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...

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...

CVE-2022-21731

Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for ConcatV2 can be used to trigger a denial of service attack via a segfault caused by a type confusion. The axis argument is translated into concatdim in the ConcatShapeHelper helper function. Then, a...

PYSEC-2022-55

Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for ConcatV2 can be used to trigger a denial of service attack via a segfault caused by a type confusion. The axis argument is translated into concatdim in the ConcatShapeHelper helper function. Then, a...

PYSEC-2022-110

Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for ConcatV2 can be used to trigger a denial of service attack via a segfault caused by a type confusion. The axis argument is translated into concatdim in the ConcatShapeHelper helper function. Then, a...

PYSEC-2022-110

Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for ConcatV2 can be used to trigger a denial of service attack via a segfault caused by a type confusion. The axis argument is translated into concatdim in the ConcatShapeHelper helper function. Then, a...

CVE-2022-21731 Type confusion leading to segfault in Tensorflow

Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for ConcatV2 can be used to trigger a denial of service attack via a segfault caused by a type confusion. The axis argument is translated into concatdim in the ConcatShapeHelper helper function. Then, a...

CVE-2022-21731 Type confusion leading to segfault in Tensorflow

Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for ConcatV2 can be used to trigger a denial of service attack via a segfault caused by a type confusion. The axis argument is translated into concatdim in the ConcatShapeHelper helper function. Then, a...

CVE-2022-21731

Technical details are not publicly available in the provided Connected documents. The Initial Description mentions a TensorFlow shape-inference vulnerability but does not specify affected products/versions beyond general references. Monitor for updates and official advisories for precise impact a...

CVE-2022-21731

Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for ConcatV2 can be used to trigger a denial of service attack via a segfault caused by a type confusion. The axis argument is translated into concatdim in the ConcatShapeHelper helper function. Then, a...

CVE-2022-21727

Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for Dequantize is vulnerable to an integer overflow weakness. The axis argument can be -1 the default value for the optional argument or any other positive value at most the number of dimensions of the...

PYSEC-2022-107

Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for ReverseSequence does not fully validate the value of batchdim and can result in a heap OOB read. There is a check to make sure the value of batchdim does not go over the rank of the input, but there...