TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can read from outside of bounds of heap allocated data by sending specially crafted illegal arguments to `tf.raw_ops.UpperBound`. The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/searchsorted_op.cc#L85-L104) does not validate the rank of `sorted_input` argument. A similar issue occurs in `tf.raw_ops.LowerBound`. We have patched the issue in GitHub commit 42459e4273c2e47a3232cc16c4f4fff3b3a35c38. 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 music service, there is a missing permission check. This could lead to local information disclosure with no additional execution privileges needed.
In Contacts Service, there is a possible missing permission check.This could lead to local information disclosure with no additional execution privileges
In telephony service, there is a missing permission check. This could lead to local information disclosure with no additional execution privileges needed.
In ims service, there is a possible missing permission check. This could lead to local information disclosure with no additional execution privileges
In telephony service, there is a missing permission check. This could lead to local information disclosure with no additional execution privileges needed.
In telephony service, there is a missing permission check. This could lead to local information disclosure with no additional execution privileges needed.
In telephony service, there is a missing permission check. This could lead to local information disclosure with no additional execution privileges needed.
In telephony service, there is a missing permission check. This could lead to local information disclosure with no additional execution privileges needed.
In telephony service, there is a missing permission check. This could lead to local information disclosure with no additional execution privileges needed.
In telephony service, there is a missing permission check. This could lead to local information disclosure with no additional execution privileges needed.
In telephony service, there is a missing permission check. This could lead to local information disclosure with no additional execution privileges needed.
In bluethooth service, there is a possible out of bounds reads due to improper input validation. This could lead to local information disclosure with no additional execution privileges needed. User interaction is not needed for exploitation. Patch ID: ALPS07884130; Issue ID: ALPS07884130.
In telephony service, there is a missing permission check. This could lead to local information disclosure with no additional execution privileges needed.
In telephony service, there is a missing permission check. This could lead to local information disclosure with no additional execution privileges needed.
In telephony service, there is a missing permission check. This could lead to local information disclosure with no additional execution privileges needed.
PendingIntent hijacking in LmsAssemblyTrackerCTC prior to SMR Sep-2023 Release 1 allows local attacker to gain arbitrary file access.
In telephony service, there is a missing permission check. This could lead to local information disclosure with no additional execution privileges needed.
In email service, there is a missing permission check. This could lead to local information disclosure with no additional execution privileges needed.
In email service, there is a missing permission check. This could lead to local information disclosure with no additional execution privileges needed.
In telephony service, there is a missing permission check. This could lead to local information disclosure with no additional execution privileges needed.
In telephony service, there is a missing permission check. This could lead to local information disclosure with no additional execution privileges needed.
In messaging service, there is a missing permission check. This could lead to local information disclosure with no additional execution privileges needed.
In telephony service, there is a missing permission check. This could lead to local information disclosure with no additional execution privileges needed.
In messaging service, there is a missing permission check. This could lead to local information disclosure with no additional execution privileges needed.
PendingIntent hijacking vulnerability in GameLauncher prior to version 4.2.59.5 allows local attackers to access data.
In opm service, there is a missing permission check. This could lead to local information disclosure with no additional execution privileges needed.
In telephony service, there is a missing permission check. This could lead to local information disclosure with no additional execution privileges needed.
TensorFlow is an end-to-end open source platform for machine learning. In affected versions TFLite's [`expand_dims.cc`](https://github.com/tensorflow/tensorflow/blob/149562d49faa709ea80df1d99fc41d005b81082a/tensorflow/lite/kernels/expand_dims.cc#L36-L50) contains a vulnerability which allows reading one element outside of bounds of heap allocated data. If `axis` is a large negative value (e.g., `-100000`), then after the first `if` it would still be negative. The check following the `if` statement will pass and the `for` loop would read one element before the start of `input_dims.data` (when `i = 0`). We have patched the issue in GitHub commit d94ffe08a65400f898241c0374e9edc6fa8ed257. 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 telephony service, there is a missing permission check. This could lead to local information disclosure with no additional execution privileges needed.
In telephony service, there is a missing permission check. This could lead to local information disclosure with no additional execution privileges needed.
Improper access control vulnerability in Samsung Health prior to version 6.24.3.007 allows attackers to access sensitive information via implicit intent.
In telephony service, there is a missing permission check. This could lead to local information disclosure with no additional execution privileges needed.
In messaging service, there is a missing permission check. This could lead to local information disclosure with no additional execution privileges needed.
In telephony service, there is a missing permission check. This could lead to local information disclosure with no additional execution privileges needed.
In messaging service, there is a missing permission check. This could lead to local information disclosure with no additional execution privileges needed.
Improper sanitization of incoming intent in Galaxy Store prior to version 4.5.56.6?allows local attackers to access privileged content providers as Galaxy Store permission.
In telephony service, there is a missing permission check. This could lead to local information disclosure with no additional execution privileges needed.
In opm service, there is a missing permission check. This could lead to local information disclosure with no additional execution privileges needed.
An issue was discovered on Samsung mobile devices with P(9.0) and Q(10.0) software. There is unauthorized access to applications in the Secure Folder via floating icons. The Samsung ID is SVE-2019-16195 (April 2020).
TensorFlow is an end-to-end open source platform for machine learning. In affected versions TFLite's [`GatherNd` implementation](https://github.com/tensorflow/tensorflow/blob/149562d49faa709ea80df1d99fc41d005b81082a/tensorflow/lite/kernels/gather_nd.cc#L124) does not support negative indices but there are no checks for this situation. Hence, an attacker can read arbitrary data from the heap by carefully crafting a model with negative values in `indices`. Similar issue exists in [`Gather` implementation](https://github.com/tensorflow/tensorflow/blob/149562d49faa709ea80df1d99fc41d005b81082a/tensorflow/lite/kernels/gather.cc). We have patched the issue in GitHub commits bb6a0383ed553c286f87ca88c207f6774d5c4a8f and eb921122119a6b6e470ee98b89e65d721663179d. 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.
PendingIntent hijacking in WifiGeofenceManager prior to SMR Aug-2023 Release 1 allows local attacker to arbitrary file access.
In telephony service, there is a missing permission check. This could lead to local information disclosure with no additional execution privileges needed.
In telephony service, there is a missing permission check. This could lead to local information disclosure with no additional execution privileges needed.
In messaging service, there is a missing permission check. This could lead to local information disclosure with no additional execution privileges needed.
In telephony service, there is a missing permission check. This could lead to local information disclosure with no additional execution privileges needed.
In telephony service, there is a missing permission check. This could lead to local information disclosure with no additional execution privileges needed.
Improper access control in system property prior to SMR Oct-2023 Release 1 allows local attacker to get CPU serial number.
Improper URL validation vulnerability in Samsung Members prior to version 14.0.07.1 allows attackers to access sensitive information.
In readEncryptedData of ConscryptEngine.java, there is a possible plaintext leak due to improperly used crypto. This could lead to local information disclosure with no additional execution privileges needed. User interaction is not needed for exploitation.