In telecom service, there is a missing permission check. This could lead to local denial of service in telecom service.
In wlan driver, there is a possible missing params check. This could lead to local denial of service in wlan services.
In wlan driver, there is a possible missing params check. This could lead to local denial of service in wlan services.
In log service, there is a missing permission check. This could lead to local denial of service in log service.
In telecom service, there is a missing permission check. This could lead to local denial of service in telecom service.
TensorFlow is an open source platform for machine learning. In affected versions during TensorFlow's Grappler optimizer phase, constant folding might attempt to deep copy a resource tensor. This results in a segfault, as these tensors are supposed to not change. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.
In messaging service, there is a missing permission check. This could lead to local denial of service in contacts service with no additional execution privileges needed.
In messaging service, there is a missing permission check. This could lead to local denial of service in contacts service with no additional execution privileges needed.
In wlan driver, there is a possible missing bounds check. This could lead to local denial of service in wlan services.
In wlan driver, there is a possible missing bounds check. This could lead to local denial of service in wlan services.
In wlan driver, there is a possible missing bounds check. This could lead to local denial of service in wlan services.
In wlan driver, there is a possible missing params check. This could lead to local denial of service in wlan services.
In messaging service, there is a missing permission check. This could lead to local denial of service in contacts service with no additional execution privileges needed.
An issue was discovered on LG mobile devices with Android OS 7.0, 7.1, 7.2, 8.0, and 8.1 software. A TZ trusted application can crash via crafted input. The LG ID is LVE-SMP-190005 (July 2019).
In messaging service, there is a missing permission check. This could lead to local denial of service in contacts service with no additional execution privileges needed.
In wlan driver, there is a possible null pointer dereference issue due to a missing bounds check. This could lead to local denial of service in wlan services.
In wlan driver, there is a possible missing bounds check. This could lead to local denial of service in wlan services.
In messaging service, there is a missing permission check. This could lead to local denial of service in contacts service with no additional execution privileges needed.
In wlan driver, there is a possible missing bounds check, This could lead to local denial of service in wlan services.
In messaging service, there is a missing permission check. This could lead to local denial of service in contacts service with no additional execution privileges needed.
In wlan driver, there is a possible missing bounds check. This could lead to local denial of service in wlan services.
In modem, there is a possible missing verification of NAS Security Mode Command Replay Attacks in LTE. This could local denial of service with no additional execution privileges.
In wlan driver, there is a possible missing bounds check. This could lead to local denial of service in wlan services.
In wlan driver, there is a possible missing bounds check. This could lead to local denial of service in wlan services.
In wlan driver, there is a possible missing bounds check. This could lead to local denial of service in wlan services.
In wlan driver, there is a possible missing bounds check. This could lead to local denial of service in wlan services.
In wlan driver, there is a possible missing bounds check. This could lead to local denial of service in wlan services.
In wlan driver, there is a possible missing bounds check. This could lead to local denial of service in wlan services.
In music service, there is a missing permission check. This could lead to local denial of service in contacts service with no additional execution privileges needed.
In wlan driver, there is a possible missing bounds check. This could lead to local denial of service in wlan services.
In music service, there is a missing permission check. This could lead to local denial of service in contacts service with no additional execution privileges needed.
In modem, there is a possible missing verification of HashMME value in Security Mode Command. This could local denial of service with no additional execution privileges.
In music service, there is a missing permission check. This could lead to local denial of service in contacts service with no additional execution privileges needed.
In npu driver, there is a memory corruption due to a use after free. This could lead to local denial of service in kernel.
In wlan driver, there is a possible missing bounds check, This could lead to local denial of service in wlan services.
In wlan driver, there is a possible missing bounds check, This could lead to local denial of service in wlan services.
In wlan driver, there is a possible missing bounds check, This could lead to local denial of service in wlan services.
In wlan driver, there is a possible missing bounds check, This could lead to local denial of service in wlan services.
In wlan driver, there is a possible missing bounds check, This could lead to local denial of service in wlan services.
In wlan driver, there is a possible missing params check. This could lead to local denial of service in wlan services.
In wlan driver, there is a possible missing bounds check, This could lead to local denial of service in wlan services.
In wlan driver, there is a possible missing bounds check, This could lead to local denial of service in wlan services.
TensorFlow is an end-to-end open source platform for machine learning. In affected versions providing a negative element to `num_elements` list argument of `tf.raw_ops.TensorListReserve` causes the runtime to abort the process due to reallocating a `std::vector` to have a negative number of elements. The [implementation](https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/kernels/list_kernels.cc#L312) calls `std::vector.resize()` with the new size controlled by input given by the user, without checking that this input is valid. We have patched the issue in GitHub commit 8a6e874437670045e6c7dc6154c7412b4a2135e2. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.
TensorFlow is an open source platform for machine learning. If a list of quantized tensors is assigned to an attribute, the pywrap code fails to parse the tensor and returns a `nullptr`, which is not caught. An example can be seen in `tf.compat.v1.extract_volume_patches` by passing in quantized tensors as input `ksizes`. We have patched the issue in GitHub commit e9e95553e5411834d215e6770c81a83a3d0866ce. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.
TensorFlow is an end-to-end open source platform for machine learning. It is possible to trigger a null pointer dereference in TensorFlow by passing an invalid input to `tf.raw_ops.CompressElement`. The [implementation](https://github.com/tensorflow/tensorflow/blob/47a06f40411a69c99f381495f490536972152ac0/tensorflow/core/data/compression_utils.cc#L34) was accessing the size of a buffer obtained from the return of a separate function call before validating that said buffer is valid. We have patched the issue in GitHub commit 5dc7f6981fdaf74c8c5be41f393df705841fb7c5. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.
In wlan driver, there is a possible missing bounds check, This could lead to local denial of service in wlan services.
In sensor driver, there is a possible buffer overflow due to a missing bounds check. This could lead to local denial of service in kernel.
In wlan driver, there is a possible missing bounds check, This could lead to local denial of service in wlan services.
In camera driver, there is a possible memory corruption due to improper locking. This could lead to local denial of service in kernel.
In wlan driver, there is a possible missing bounds check, This could lead to local denial of service in wlan services.