Integer overflow vulnerability during glTF model loading in the 3D engine module Impact: Successful exploitation of this vulnerability may affect availability.

Vulnerability of improper memory access in the phone service module Impact: Successful exploitation of this vulnerability may affect availability.

Vulnerability of resources not being closed or released in the keystore module Impact: Successful exploitation of this vulnerability will affect availability.

Access permission verification vulnerability in the camera driver module Impact: Successful exploitation of this vulnerability will affect availability.

HUAWEI P30 Pro smartphones with Versions earlier than 10.1.0.160(C00E160R2P8) have an out of bound read vulnerability. Some functions are lack of verification when they process some messages sent from other module. Attackers can exploit this vulnerability by send malicious message to cause out-of-bound read. This can compromise normal service.

Huawei smart phone Taurus-AL00B with versions earlier than 10.0.0.203(C00E201R7P2) have a use-after-free (UAF) vulnerability. An authenticated, local attacker may perform specific operations to exploit this vulnerability. Successful exploitation may tamper with the information to affect the availability.

There is an Information Disclosure Vulnerability in Huawei Smartphone. Successful exploitation of this vulnerability may cause out-of-bounds read.

Vulnerability of using incompatible types to access resources in the location service. Impact: Successful exploitation of this vulnerability may cause some location information attributes to be incorrect.

Type confusion vulnerability in the distributed file module.Successful exploitation of this vulnerability may cause the device to restart.

Type confusion vulnerability in the distributed file module.Successful exploitation of this vulnerability may cause the device to restart.

Use After Free (UAF) vulnerability in the audio PCM driver module under special conditions. Successful exploitation of this vulnerability may cause audio features to perform abnormally.

There is a vulnerability of accessing resources using an incompatible type (type confusion) in the Bastet module. Successful exploitation of this vulnerability may affect integrity.

The HwNearbyMain module has a Data Processing Errors vulnerability.Successful exploitation of this vulnerability may cause a process to restart.

HUAWEI Mate 30 with versions earlier than 10.1.0.150(C00E136R5P3) have a type confusion vulnerability. The system does not properly check and transform the type of certain variable, the attacker tricks the user into installing then running a crafted application, successful exploit could cause code execution.

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).

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.

in OpenHarmony v3.2.4 and prior versions allow a local attacker cause apps crash through type confusion.

The ArKUI framework subsystem within OpenHarmony-v3.1.5 and prior versions, OpenHarmony-v3.0.7 and prior versions has an Improper Input Validation vulnerability which local attackers can exploit this vulnerability to send malicious data, causing the current application to crash.

in OpenHarmony v3.2.4 and prior versions allow a local attacker cause apps crash through type confusion.

in OpenHarmony v5.0.3 and prior versions allow a local attacker cause DOS through type confusion.

in OpenHarmony v5.0.3 and prior versions allow a local attacker cause apps crash through type confusion.

in OpenHarmony v5.0.3 and prior versions allow a local attacker cause apps crash through type confusion.

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.

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

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.

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.

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.

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.