in OpenHarmony v4.0.0 and prior versions allow a local attacker cause apps crash through type confusion.

in OpenHarmony v3.2.2 and prior versions allow a local attacker arbitrary code execution in pre-installed apps through type confusion.

in OpenHarmony v4.0.0 and prior versions allow a local attacker cause apps crash through type confusion.

Lua v5.4.3 and above are affected by SEGV by type confusion in funcnamefromcode function in ldebug.c which can cause a local denial of service.

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.

Some Honor products are affected by type confusion vulnerability, successful exploitation could cause denial of service.

A flaw was found in the IPv6 module of the Linux kernel. The arg.result was not used consistently in fib6_rule_lookup, sometimes holding rt6_info and other times fib6_info. This was not accounted for in other parts of the code where rt6_info was expected unconditionally, potentially leading to a kernel panic in fib6_rule_suppress.

In shouldWrite of OwnersData.java, there is a possible edge case that prevents MDM policies from being persisted due to a logic error in the code. This could lead to local denial of service with no additional execution privileges needed. User interaction is not needed for exploitation.

atm_tc_enqueue in net/sched/sch_atm.c in the Linux kernel through 6.1.4 allows attackers to cause a denial of service because of type confusion (non-negative numbers can sometimes indicate a TC_ACT_SHOT condition rather than valid classification results).

cbq_classify in net/sched/sch_cbq.c in the Linux kernel through 6.1.4 allows attackers to cause a denial of service (slab-out-of-bounds read) because of type confusion (non-negative numbers can sometimes indicate a TC_ACT_SHOT condition rather than valid classification results).

A type confusion issue was addressed with improved memory handling. This issue is fixed in iOS 16.7.9 and iPadOS 16.7.9, macOS Ventura 13.6.8, macOS Monterey 12.7.6, iOS 17.6 and iPadOS 17.6, watchOS 10.6, tvOS 17.6, visionOS 1.3, macOS Sonoma 14.6. A local attacker may be able to cause unexpected system shutdown.

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the macros that TensorFlow uses for writing assertions (e.g., `CHECK_LT`, `CHECK_GT`, etc.) have an incorrect logic when comparing `size_t` and `int` values. Due to type conversion rules, several of the macros would trigger incorrectly. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.

There is a Vulnerability of accessing resources using an incompatible type (type confusion) in the MPTCP subsystem in smartphones. Successful exploitation of this vulnerability may cause the system to crash and restart.