572 matches found
CVE-2022-23557 Division by zero in TFLite
Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would trigger a division by zero in BiasAndClamp implementation. There is no check that the biassize is non zero. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on...
CVE-2022-23571 Reachable Assertion in Tensorflow
Tensorflow is an Open Source Machine Learning Framework. When decoding a tensor from protobuf, a TensorFlow process can encounter cases where a CHECK assertion is invalidated based on user controlled arguments, if the tensors have an invalid dtype and 0 elements or an invalid shape. This allows...
CVE-2022-23566 Out of bounds write in Tensorflow
Tensorflow is an Open Source Machine Learning Framework. TensorFlow is vulnerable to a heap OOB write in Grappler. The setoutput function writes to an array at the specified index. Hence, this gives a malicious user a write primitive. The fix will be included in TensorFlow 2.8.0. We will also...
CVE-2022-23577 Null-dereference in Tensorflow
Tensorflow is an Open Source Machine Learning Framework. The implementation of GetInitOp is vulnerable to a crash caused by dereferencing a null pointer. 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, and TensorFlow 2.5.3, ...
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-2022-23587 Integer overflow in Tensorflow
Tensorflow is an Open Source Machine Learning Framework. Under certain scenarios, Grappler component of TensorFlow is vulnerable to an integer overflow during cost estimation for crop and resize. Since the cropping parameters are user controlled, a malicious person can trigger undefined behavior...
Google Tensorflow 代码问题漏洞
Google TensorFlow is a suite of end-to-end open source platforms for machine learning from Google USA. Google TensorFlow has a code issue vulnerability that stems from the simplifyBroadcast function in the MLIR-TFRT infrastructure in TensorFlow being prone to segmentation errors. No detailed...
Google TensorFlow 数字错误漏洞
Google TensorFlow is an end-to-end open source platform for machine learning from Google, Inc. A numerical error vulnerability exists in Google Tensorflow, which could be exploited by an attacker to create a TFLite model that triggers a division in the "BiasAndClamp" implementation. The...
Google Tensorflow 安全漏洞
Google TensorFlow is an end-to-end open source platform for machine learning from Google Google Inc. Google Tensorflow has a security vulnerability that could be exploited by an attacker to cause a denial of service in the TensorFlow process...
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 control the input idx variable so that ix is greater than the number of values in node .arg...
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...
PT-2022-16090 · Google · Tensorflow
Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.8.0 TensorFlow versions 2.7.0 through 2.7.0 will be fixed in 2.7.1 TensorFlow versions 2.6.0 through 2.6.2 will be fixed in 2.6.3 TensorFlow versions 2.5.0 through 2.5.2 will be fixed in 2.5.3 Description: The...
PT-2022-16080 · Google · Tensorflow
Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.5.3 TensorFlow versions prior to 2.6.3 TensorFlow versions prior to 2.7.1 TensorFlow versions prior to 2.8.0 Description: When decoding a resource handle tensor from protobuf, a TensorFlow process can encounter...
PT-2022-16101 · Google · Tensorflow
Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.8.0 TensorFlow versions 2.7.0 through 2.7.0 will be fixed in 2.7.1 TensorFlow versions 2.6.0 through 2.6.2 will be fixed in 2.6.3 TensorFlow versions 2.5.0 through 2.5.2 will be fixed in 2.5.3 Description: A...
PYSEC-2022-132
Tensorflow is an Open Source Machine Learning Framework. The implementation of AddManySparseToTensorsMap is vulnerable to an integer overflow which results in a CHECK-fail when building new TensorShape objects so, an assert failure based denial of service. We are missing some validation on the...
PYSEC-2022-57
Tensorflow is an Open Source Machine Learning Framework. The implementation of StringNGrams can be used to trigger a denial of service attack by causing an out of memory condition after an integer overflow. We are missing a validation on padwitdh and that result in computing a negative value for...
CVE-2022-23568 Integer overflows in Tensorflow
Tensorflow is an Open Source Machine Learning Framework. The implementation of AddManySparseToTensorsMap is vulnerable to an integer overflow which results in a CHECK-fail when building new TensorShape objects so, an assert failure based denial of service. We are missing some validation on the...
CVE-2022-21733 Memory exhaustion in Tensorflow
Tensorflow is an Open Source Machine Learning Framework. The implementation of StringNGrams can be used to trigger a denial of service attack by causing an out of memory condition after an integer overflow. We are missing a validation on padwitdh and that result in computing a negative value for...
CVE-2022-21732 Memory exhaustion in Tensorflow
Tensorflow is an Open Source Machine Learning Framework. The implementation of ThreadPoolHandle can be used to trigger a denial of service attack by allocating too much memory. This is because the numthreads argument is only checked to not be negative, but there is no upper bound on its value. Th...