CWE-843

TensorFlow is an end-to-end open source platform for machine learning. The API of `tf.raw_ops.SparseCross` allows combinations which would result in a `CHECK`-failure and denial of service. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/3d782b7d47b1bf2ed32bd4a246d6d6cadc4c903d/tensorflow/core/kernels/sparse_cross_op.cc#L114-L116) is tricked to consider a tensor of type `tstring` which in fact contains integral elements. Fixing the type confusion by preventing mixing `DT_STRING` and `DT_INT64` types solves this issue. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.

Acrobat Reader DC versions 2021.005.20054 (and earlier), 2020.004.30005 (and earlier) and 2017.011.30197 (and earlier) are affected by a Type Confusion vulnerability. An unauthenticated attacker could leverage this vulnerability to disclose sensitive memory information in the context of the current user. Exploitation of this issue requires user interaction in that a victim must open a malicious file.

Raw Image Extension Remote Code Execution Vulnerability This CVE ID is unique from CVE-2021-28466.

A Type Confusion vulnerability in Autodesk Design Review 2018, 2017, 2013, 2012, 2011 can occur when processing a maliciously crafted PDF file. A malicious actor can leverage this to execute arbitrary code.

ImpressCMS before 1.4.3 has plugins/preloads/autologin.php type confusion with resultant Authentication Bypass (!= instead of !==).

An issue was discovered in Open Design Alliance Drawings SDK before 2021.11. A Type Confusion issue exists when rendering malformed .DXF and .DWG files. This can allow attackers to cause a crash, potentially enabling a denial of service attack (Crash, Exit, or Restart).