In Android for MSM, Firefox OS for MSM, QRD Android, with all Android releases from CAF using the Linux kernel, improper input validation for wmi_event->num_vdev_mac_entries in wma_pdev_set_hw_mode_resp_evt_handler(), which is received from firmware, leads to potential buffer overflow.

Double memory free while closing TEE SE API Session management in Snapdragon Mobile in version SD 425, SD 430, SD 450, SD 625, SD 650/52, SD 820.

In Android for MSM, Firefox OS for MSM, QRD Android, with all Android releases from CAF using the Linux kernel, potential buffer overflow can happen when processing UTF event in wma_process_utf_event().

Lack of Input Validation in SDMX API can lead to NULL pointer access in Snapdragon Automobile, Snapdragon Mobile and Snapdragon Wear in versions MDM9206, MDM9607, MDM9650, MSM8996AU, SD 210/SD 212/SD 205, SD 410/12, SD 425, SD 430, SD 450, SD 615/16/SD 415, SD 617, SD 625, SD 650/52, SD 810, SD 820, SD 820A, SD 835, SD 845, SD 850, SDA660 .

In Android for MSM, Firefox OS for MSM, QRD Android, with all Android releases from CAF using the Linux kernel, improper input validation for nlo_event in wma_nlo_match_evt_handler(), which is received from firmware, leads to potential out of bound memory access.

TensorFlow is an open source platform for machine learning. In affected versions the shape inference code for the `Cudnn*` operations in TensorFlow can be tricked into accessing invalid memory, via a heap buffer overflow. This occurs because the ranks of the `input`, `input_h` and `input_c` parameters are not validated, but code assumes they have certain values. 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.

While accessing SafeSwitch services, third party can manipulate a given device and perform unauthorized operation due to lack of checking of same state transitions in Snapdragon Automobile, Snapdragon Mobile in version MSM8996AU, SD 410/12, SD 617, SD 650/52, SD 810, SD 820, SD 820A

In Android for MSM, Firefox OS for MSM, QRD Android, with all Android releases from CAF using the Linux kernel, improper input validation for vdev_id in wma_unified_bcntx_status_event_handler() which is received from firmware leads to potential out of bounds memory read.

While processing the sensors registry configuration file, if inputs are not validated a buffer overflow will occur in Snapdragon Automobile, Snapdragon Mobile, Snapdragon Wear in version MMDM9206, MDM9607, MDM9650, MSM8909W, MSM8996AU, SD 210/SD 212/SD 205, SD 425, SD 430, SD 450, SD 600, SD 615/16/SD 415, SD 617, SD 625, SD 650/52, SD 800, SD 810, SD 820, SD 820A, SD 835, SDA660, SDX20.

In writeToParcel and readFromParcel of OutputConfiguration.java, there is a permission bypass due to mismatched serialization. This could lead to a local escalation of privilege where the user can start an activity with system privileges, with no additional execution privileges needed. User interaction is not needed for exploitation. Product: Android. Versions: 8.0, 8.1. Android ID: A-69683251.

TensorFlow is an open source platform for machine learning. In affected versions TensorFlow's `saved_model_cli` tool is vulnerable to a code injection as it calls `eval` on user supplied strings. This can be used by attackers to run arbitrary code on the plaform where the CLI tool runs. However, given that the tool is always run manually, the impact of this is not severe. We have patched this by adding a `safe` flag which defaults to `True` and an explicit warning for users. 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.

An issue was discovered on Samsung mobile devices with P(9.0) software. There is a heap overflow in the knox_kap driver. The Samsung ID is SVE-2019-14857 (November 2019).

TensorFlow is an open source platform for machine learning. In affected versions the async implementation of `CollectiveReduceV2` suffers from a memory leak and a use after free. This occurs due to the asynchronous computation and the fact that objects that have been `std::move()`d from are still accessed. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, as this version is the only one that is also affected.

In SendMediaUpdate and SendFolderUpdate of avrcp_service.cc, there is a possible memory corruption due to a use after free. This could lead to local escalation of privilege in the Bluetooth service with no additional execution privileges needed. User interaction is not needed for exploitation. Product: Android Versions: Android-9 Android ID: A-120445479

In prepare_io_entry and prepare_response of lwis_ioctl.c and lwis_periodic_io.c, there is a possible out of bounds write due to an integer overflow. This could lead to local escalation of privilege with System execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android kernelAndroid ID: A-205995773References: N/A

In lwis_top_register_io of lwis_device_top.c, there is a possible out of bounds write due to an integer overflow. This could lead to local escalation of privilege with System execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android kernelAndroid ID: A-205995178References: N/A

In ic_startRetrieveEntryValue of acropora/app/identity/ic.c, there is a possible bypass of defense-in-depth due to missing validation of the return value. This could lead to local escalation of privilege with System execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android kernelAndroid ID: A-195573629References: N/A

In Android for MSM, Firefox OS for MSM, QRD Android, with all Android releases from CAF using the Linux kernel, an invalid input of firmware size (negative value) from user space can potentially lead to the memory leak or buffer overflow during the WLAN cal data store operation.

In rcsservice, there is a possible way to modify TTY mode due to a missing permission check. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android-12LAndroid ID: A-197960597

In Android for MSM, Firefox OS for MSM, QRD Android, with all Android releases from CAF using the Linux kernel, there is a potential buffer overflow vulnerability in hdd_parse_setrmcenable_command and hdd_parse_setrmcactionperiod_command APIs as buffers defined in this API can hold maximum 32 bytes but data more than 32 bytes can get copied.

In android for MSM, Firefox OS for MSM, QRD Android, with all Android releases from CAF using the Linux kernel, an integer overflow leading to a buffer overflow due to improper bound checking in msm_audio_effects_virtualizer_handler, file msm-audio-effects-q6-v2.c

In Telephony, there is a possible unauthorized modification of the PLMN SIM file due to a missing permission check. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android-12LAndroid ID: A-202760015

In all Qualcomm products with Android releases from CAF using the Linux kernel, in the function wma_roam_synch_event_handler, vdev_id is received from firmware and used to access an array without validation.

In Keymaster, there is a possible out of bounds write due to a missing bounds check. This could lead to local escalation of privilege with System execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android-12LAndroid ID: A-173567719

In all Qualcomm products with Android releases from CAF using the Linux kernel, in wma_unified_link_radio_stats_event_handler(), the number of radio channels coming from firmware is not properly validated, potentially leading to an integer overflow vulnerability followed by a buffer overflow.

In Settings, there is a possible way to make the user enable WiFi due to improper input validation. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android-12LAndroid ID: A-199176115

The value of fix_param->num_chans is received from firmware and if it is too large, an integer overflow can occur in wma_radio_chan_stats_event_handler() for the derived length len leading to a subsequent buffer overflow in all Android releases from CAF (Android for MSM, Firefox OS for MSM, QRD Android) using the Linux Kernel.

In sec_ts_parsing_cmds of (TBD), there is a possible out of bounds write due to an incorrect bounds check. This could lead to local escalation of privilege with System execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android kernelAndroid ID: A-194499021References: N/A

In Telecom, there is a possible leak of TTY mode change due to a missing permission check. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android-12LAndroid ID: A-203880906

Due to a race condition in MDSS rotator in Android for MSM, Firefox OS for MSM, and QRD Android before 2017-10-20, a double free vulnerability may potentially exist when two threads free the same perf structures.

In deleteNotificationChannelGroup of NotificationManagerService.java, there is a possible way to run foreground service without user notification due to a permissions bypass. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android-10 Android-11 Android-12Android ID: A-209965481

In the TitanM chip, there is a possible out of bounds write due to a missing bounds check. This could lead to local escalation of privilege with System execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android kernelAndroid ID: A-202006191References: N/A

In PackageManager, there is a possible way to update the last usage time of another package due to a missing permission check. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android-12LAndroid ID: A-201534884

In CellBroadcastReceiver, there is a possible path to enable specific cellular features due to a missing permission check. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android-12LAndroid ID: A-200163477

In Bubbles, there is a possible way to interfere with Bubbles due to a permissions bypass. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android-12LAndroid ID: A-202756848

In all android releases (Android for MSM, Firefox OS for MSM, QRD Android) from CAF using the linux kernel, while loading a user application in qseecom, an integer overflow could potentially occur if the application partition size is rounded up to page_size.

In WindowManager, there is a possible way to start a foreground activity from the background due to a missing permission check. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android-12LAndroid ID: A-205130886

In regmap_exit of regmap.c, there is a possible use-after-free due to improper locking. This could lead to local escalation of privilege in the kernel with System execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android kernelAndroid ID: A-174049006References: N/A

In SmsController, there is a possible information disclosure due to a permissions bypass. This could lead to local escalation of privilege and sending sms with no additional execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android-12LAndroid ID: A-195311502

In ProtocolStkProactiveCommandAdapter::Init of protocolstkadapter.cpp, there is a possible out of bounds write due to an incorrect bounds check. This could lead to local escalation of privilege with System execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android kernelAndroid ID: A-205036834References: N/A

In gasket_free_coherent_memory_all of gasket_page_table.c, there is a possible memory corruption due to a double free. This could lead to local escalation of privilege with System execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android kernelAndroid ID: A-151454974References: N/A

In TBD of TBD, there is a possible way to access PIN protected settings bypassing PIN confirmation due to a missing permission check. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android kernelAndroid ID: A-193438173References: N/A

In PermissionController, there is a possible way to delete some local files due to an unsafe PendingIntent. This could lead to local escalation of privilege with User execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android-12LAndroid ID: A-194696395

In Android for MSM, Firefox OS for MSM, QRD Android, with all Android releases from CAF using the Linux kernel, wma_unified_link_peer_stats_event_handler function has a variable num_rates which represents the sum of all the peer_stats->num_rates. The current behavior in this function is to validate only the num_rates of the first peer stats (peer_stats->num_rates) against WMA_SVC_MSG_MAX_SIZE, but not the sum of all the peer's num_rates (num_rates) which may lead to a buffer overflow when the firmware buffer is copied in to the allocated buffer (peer_stats) as the size for the memory allocation - link_stats_results_size is based on num_rates.

u'Possible buffer overflow in WIFI hal process due to usage of memcpy without checking length of destination buffer' in Snapdragon Auto, Snapdragon Compute, Snapdragon Industrial IOT, Snapdragon Mobile in QCM4290, QCS4290, QM215, QSM8350, SA6145P, SA6155, SA6155P, SA8155, SA8155P, SC8180X, SC8180XP, SDX55, SDX55M, SM4250, SM4250P, SM6115, SM6115P, SM6125, SM6250, SM6350, SM7125, SM7225, SM7250, SM7250P, SM8150, SM8150P, SM8250, SM8350, SM8350P, SXR2130, SXR2130P

In Android for MSM, Firefox OS for MSM, QRD Android, with all Android releases from CAF using the Linux kernel, after a subsystem reset, iwpriv is not giving correct information.

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause undefined behavior via binding a reference to null pointer in `tf.raw_ops.SparseFillEmptyRows`. The shape inference [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/ops/sparse_ops.cc#L608-L634) does not validate that the input arguments are not empty tensors. We have patched the issue in GitHub commit 578e634b4f1c1c684d4b4294f9e5281b2133b3ed. 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 end-to-end open source platform for machine learning. In affected versions an attacker can cause undefined behavior via binding a reference to null pointer in `tf.raw_ops.RaggedTensorToSparse`. The [implementation](https://github.com/tensorflow/tensorflow/blob/f24faa153ad31a4b51578f8181d3aaab77a1ddeb/tensorflow/core/kernels/ragged_tensor_to_sparse_kernel.cc#L30) has an incomplete validation of the splits values: it does not check that they are in increasing order. We have patched the issue in GitHub commit 1071f554dbd09f7e101324d366eec5f4fe5a3ece. 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 end-to-end open source platform for machine learning. In affected versions the implementation for `tf.raw_ops.FractionalAvgPoolGrad` can be tricked into accessing data outside of bounds of heap allocated buffers. The [implementation](https://github.com/tensorflow/tensorflow/blob/f24faa153ad31a4b51578f8181d3aaab77a1ddeb/tensorflow/core/kernels/fractional_avg_pool_op.cc#L205) does not validate that the input tensor is non-empty. Thus, code constructs an empty `EigenDoubleMatrixMap` and then accesses this buffer with indices that are outside of the empty area. We have patched the issue in GitHub commit 0f931751fb20f565c4e94aa6df58d54a003cdb30. 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 end-to-end open source platform for machine learning. In affected versions an attacker can trigger a read from outside of bounds of heap allocated data by sending invalid arguments to `tf.raw_ops.ResourceScatterUpdate`. The [implementation](https://github.com/tensorflow/tensorflow/blob/f24faa153ad31a4b51578f8181d3aaab77a1ddeb/tensorflow/core/kernels/resource_variable_ops.cc#L919-L923) has an incomplete validation of the relationship between the shapes of `indices` and `updates`: instead of checking that the shape of `indices` is a prefix of the shape of `updates` (so that broadcasting can happen), code only checks that the number of elements in these two tensors are in a divisibility relationship. We have patched the issue in GitHub commit 01cff3f986259d661103412a20745928c727326f. 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.