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

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...

PYSEC-2022-78

Tensorflow is an Open Source Machine Learning Framework. Multiple operations in TensorFlow can be used to trigger a denial of service via CHECK-fails i.e., assertion failures. This is similar to TFSA-2021-198 and has similar fixes. We have patched the reported issues in multiple GitHub commits. I...

PYSEC-2022-76

Tensorflow is an Open Source Machine Learning Framework. The implementations of SparseCwise ops are vulnerable to integer overflows. These can be used to trigger large allocations so, OOM based denial of service or CHECK-fails when building new TensorShape objects so, assert failures based denial...

PYSEC-2022-131

Tensorflow is an Open Source Machine Learning Framework. The implementations of SparseCwise ops are vulnerable to integer overflows. These can be used to trigger large allocations so, OOM based denial of service or CHECK-fails when building new TensorShape objects so, assert failures based denial...

Google Android 缓冲区错误漏洞

Google Android is a Linux-based open source operating system from Google. Google Android suffers from an elevation of privilege vulnerability that stems from a failure to properly check for boundaries in TBD of TBD, which could allow for out-of-bounds writes. An attacker with system execution...

PYSEC-2021-815

TensorFlow is an open source platform for machine learning. In affected versions the code for boosted trees in TensorFlow is still missing validation. As a result, attackers can trigger denial of service via dereferencing nullptrs or via CHECK-failures as well as abuse undefined behavior binding...