In Music service, there is a missing permission check. This could lead to local denial of service in Music service with no additional execution privileges needed.
In contacts 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 Music service, there is a missing permission check. This could lead to local denial of service in Music service with no additional execution privileges needed.
In Music service, there is a missing permission check. This could lead to local denial of service in Music service with no additional execution privileges needed.
In Gallery service, there is a missing permission check. This could lead to local denial of service in Gallery service with no additional execution privileges needed.
In music service, there is a missing permission check. This could lead to local denial of service in music service with no additional execution privileges needed.
In cell service, there is a missing permission check. This could lead to local denial of service in cell service with no additional execution privileges needed.
In bluetooth service, there is a possible missing permission check. This could lead to local denial of service in bluetooth service with no additional execution privileges needed.
In contacts 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 contacts 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 contacts 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 messaging service with no additional execution privileges needed.
In vowifiservice, there is a possible missing permission check.This could lead to local denial of service with no additional execution privileges
In vowifiservice, there is a possible missing permission check.This could lead to local denial of service with no additional execution privileges
In vowifiservice, there is a possible missing permission check.This could lead to local denial of service with no additional execution privileges
In telecom service, there is a possible missing permission check. This could lead to local denial of service with no additional execution privileges needed
In onCreate of DeviceAdminAdd.java, there is a possible way to forcibly add a device admin due to a missing permission check. This could lead to local denial of service (factory reset or continuous locking) with no additional execution privileges needed. User interaction is not needed for exploitation.
In canDisplayLocalUi of AppLocalePickerActivity.java, there is a possible way to change system app locales due to a missing permission check. This could lead to local denial of service across user boundaries with no additional execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android-13Android ID: A-257954050
In dialer service, there is a possible missing permission check. This could lead to local denial of service with no additional execution privileges.
In soter service, there is a possible missing permission check. This could lead to local denial of service with no additional execution privileges.
In dialer service, there is a possible missing permission check. This could lead to local denial of service with no additional execution privileges.
In telephony service, there is a possible missing permission check. This could lead to local denial of service with no additional execution privileges.
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.
In startListening of PluginManagerImpl.java, there is a possible way to disable arbitrary app components due to a missing permission check. This could lead to local denial of service with no additional execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android-10 Android-11Android ID: A-193444889
In dialer service, there is a possible missing permission check. This could lead to local denial of service with no additional execution privileges.
In telephony service, there is a possible missing permission check. This could lead to local denial of service with no additional execution privileges.
In telephony service, there is a possible missing permission check. This could lead to local denial of service with no additional execution privileges.
In contacts service, there is a possible missing permission check. This could lead to local denial of service with no additional execution privileges.
In telephony service, there is a missing permission check. This could lead to local denial of service in telephone service with no additional execution privileges needed.
In telephony service, there is a missing permission check. This could lead to local denial of service in telephone service with no additional execution privileges needed.
In telephony service, there is a possible missing permission check. This could lead to local denial of service with no additional execution privileges.
In vdsp service, there is a missing permission check. This could lead to local denial of service in vdsp service.
In engineermode service, there is a possible missing permission check. This could lead to local denial of service with no additional execution privileges.
In dialer service, there is a possible missing permission check. This could lead to local denial of service with no additional execution privileges.
In telephony service, there is a possible missing permission check. This could lead to local denial of service with no additional execution privileges.
In telephony service, there is a possible missing permission check. This could lead to local denial of service with no additional execution privileges.
In telephony service, there is a missing permission check. This could lead to local denial of service in telephone service with no additional execution privileges needed.
In log service, there is a missing permission check. This could lead to local denial of service in log service.
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 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.
TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a null pointer dereference in the implementation of `tf.raw_ops.SparseFillEmptyRows`. This is because of missing validation(https://github.com/tensorflow/tensorflow/blob/fdc82089d206e281c628a93771336bf87863d5e8/tensorflow/core/kernels/sparse_fill_empty_rows_op.cc#L230-L231) that was covered under a `TODO`. If the `dense_shape` tensor is empty, then `dense_shape_t.vec<>()` would cause a null pointer dereference in the implementation of the op. 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 imgsys, there is a possible memory corruption due to improper locking. This could lead to local denial of service if a malicious actor has already obtained the System privilege. User interaction is not needed for exploitation. Patch ID: ALPS10363254; Issue ID: MSV-5617.
In endCallForSubscriber of PhoneInterfaceManager.java, there is a possible way to prevent access to emergency services due to a logic error in the code. This could lead to a local denial of service with no additional execution privileges needed. User interaction is not needed for exploitation.
TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a runtime division by zero error and denial of service in `tf.raw_ops.QuantizedBatchNormWithGlobalNormalization`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/6f26b3f3418201479c264f2a02000880d8df151c/tensorflow/core/kernels/quantized_add_op.cc#L289-L295) computes a modulo operation without validating that the divisor is not zero. Since `vector_num_elements` is determined based on input shapes(https://github.com/tensorflow/tensorflow/blob/6f26b3f3418201479c264f2a02000880d8df151c/tensorflow/core/kernels/quantized_add_op.cc#L522-L544), a user can trigger scenarios where this quantity is 0. 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.
TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a segfault and denial of service via accessing data outside of bounds in `tf.raw_ops.QuantizedBatchNormWithGlobalNormalization`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/55a97caa9e99c7f37a0bbbeb414dc55553d3ae7f/tensorflow/core/kernels/quantized_batch_norm_op.cc#L176-L189) assumes the inputs are not empty. If any of these inputs is empty, `.flat<T>()` is an empty buffer, so accessing the element at index 0 is accessing data outside of bounds. 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.
TensorFlow is an end-to-end open source platform for machine learning. Due to lack of validation in `tf.raw_ops.CTCBeamSearchDecoder`, an attacker can trigger denial of service via segmentation faults. The implementation(https://github.com/tensorflow/tensorflow/blob/a74768f8e4efbda4def9f16ee7e13cf3922ac5f7/tensorflow/core/kernels/ctc_decoder_ops.cc#L68-L79) fails to detect cases when the input tensor is empty and proceeds to read data from a null buffer. 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.
TensorFlow is an end-to-end open source platform for machine learning. Incomplete validation in `SparseReshape` results in a denial of service based on a `CHECK`-failure. The implementation(https://github.com/tensorflow/tensorflow/blob/e87b51ce05c3eb172065a6ea5f48415854223285/tensorflow/core/kernels/sparse_reshape_op.cc#L40) has no validation that the input arguments specify a valid sparse tensor. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2 and TensorFlow 2.3.3, as these are the only affected versions.
TensorFlow is an end-to-end open source platform for machine learning. The implementation of `ParseAttrValue`(https://github.com/tensorflow/tensorflow/blob/c22d88d6ff33031aa113e48aa3fc9aa74ed79595/tensorflow/core/framework/attr_value_util.cc#L397-L453) can be tricked into stack overflow due to recursion by giving in a specially crafted input. 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.
TensorFlow is an end-to-end open source platform for machine learning. The implementation of the `DepthwiseConv` TFLite operator is vulnerable to a division by zero error(https://github.com/tensorflow/tensorflow/blob/1a8e885b864c818198a5b2c0cbbeca5a1e833bc8/tensorflow/lite/kernels/depthwise_conv.cc#L287-L288). An attacker can craft a model such that `input`'s fourth dimension would be 0. 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.