In soter service, there is a possible out of bounds write due to a missing bounds check. This could lead to local denial of service with System execution privileges needed.

In telecom service, there is a missing permission check. This could lead to local denial of service in telecom service.

In soter service, there is a possible out of bounds write due to a missing bounds check. This could lead to local denial of service with System execution privileges needed.

In construct_transaction_from_cmd of lwis_ioctl.c, there is a possible out of bounds write due to a heap buffer overflow. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation.

An improper length check in APAService prior to SMR Sep-2021 Release 1 results in stack based Buffer Overflow.

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.

In multiple functions of gl_proc.c, there is a buffer overwrite due to a missing bounds check. This could lead to escalation of privileges in the kernel.

In the MTK_FLP_MSG_HAL_DIAG_REPORT_DATA_NTF handler of flp2hal_- interface.c, there is a possible stack buffer overflow due to a missing bounds check. This could lead to local escalation of privilege in a privileged process with System execution privileges needed. User interaction is not needed for exploitation.

In reboot_block_command of htc reboot_block driver, there is a possible stack buffer overflow 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.

In handle_app_cur_val_response of dtif_rc.cc, there is a possible stack buffer overflow due to a missing bounds check. This could lead to remote code execution with no additional execution privileges needed. User interaction is not needed for exploitation.

Buffer Copy without Checking Size of Input can occur during the DRM SDE driver initialization sequence in all Android releases from CAF (Android for MSM, Firefox OS for MSM, QRD Android) using the Linux Kernel.

An issue was discovered on Samsung mobile devices with N(7.x) and O(8.x) software. There is an array overflow in a driver's input booster. The Samsung ID is SVE-2017-11816 (August 2018).

An issue was discovered on Samsung mobile devices with software through 2017-11-03 (S.LSI modem chipsets). The Exynos modem chipset has a baseband buffer overflow. The Samsung ID is SVE-2017-10745 (January 2018).

An issue was discovered on Samsung mobile devices with N(7.x) and O(8.X) (Exynos chipsets) software. There is a Buffer overflow in the esecomm Trustlet, leading to arbitrary code execution. The Samsung ID is SVE-2018-12852 (October 2018).

An issue was discovered on Samsung mobile devices with N(7.x) and O(8.0) software. The sem Trustlet has a buffer overflow that leads to arbitrary TEE code execution. The Samsung IDs are SVE-2018-13230, SVE-2018-13231, SVE-2018-13232, SVE-2018-13233 (December 2018).

An elevation of privilege vulnerability in the Qualcomm ADSPRPC driver could enable a local malicious application to execute arbitrary code within the context of the kernel. This issue is rated as High because it first requires compromising a privileged process. Product: Android. Versions: Kernel-3.10, Kernel-3.18. Android ID: A-34112914. References: QC-CR#1110747.

An elevation of privilege vulnerability in the Qualcomm Wi-Fi driver could enable a local malicious application to execute arbitrary code within the context of the kernel. This issue is rated as High because it first requires compromising a privileged process. Product: Android. Versions: Kernel-3.10, Kernel-3.18. Android ID: A-32402310. References: QC-CR#1092497.

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation for `tf.raw_ops.ExperimentalDatasetToTFRecord` and `tf.raw_ops.DatasetToTFRecord` can trigger heap buffer overflow and segmentation fault. The [implementation](https://github.com/tensorflow/tensorflow/blob/f24faa153ad31a4b51578f8181d3aaab77a1ddeb/tensorflow/core/kernels/data/experimental/to_tf_record_op.cc#L93-L102) assumes that all records in the dataset are of string type. However, there is no check for that, and the example given above uses numeric types. We have patched the issue in GitHub commit e0b6e58c328059829c3eb968136f17aa72b6c876. 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 the touch controller function in all Qualcomm products with Android for MSM, Firefox OS for MSM, or QRD Android, a variable may be controlled by the user and can lead to a buffer overflow.

In DeviceId of DeviceId.java, there is a possible desync in persistence due to a missing bounds check. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation.

In the service locator in all Qualcomm products with Android releases from CAF using the Linux kernel, a buffer overflow can occur as the variable set for determining the size of the buffer is not used to indicate the size of the buffer.

In all Qualcomm products with Android releases from CAF using the Linux kernel, while reading audio data from an unspecified driver, a buffer overflow or integer overflow could occur.

In GetHostAddress of gxp_buffer.h, there is a possible out of bounds write due to an incorrect bounds check. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation.

In ss_DecodeLcsAssistDataReqMsg(void) of ss_LcsManagement.c, there is a possible out of bounds write due to an incorrect bounds check. This could lead to remote (proximal/adjacent) escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation.

In GetHostAddress of gxp_buffer.h, there is a possible out of bounds write due to a missing bounds check. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation.

In SwDcpItg of up_L2commonPdcpSecurity.cpp, there is a possible denial of service due to an incorrect bounds check. This could lead to remote denial of service with no additional execution privileges needed. User interaction is not needed for exploitation.

In GetTachyonCommand of tachyon_server_common.h, there is a possible out of bounds write due to a missing bounds check. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation.

In cplog service, there is a possible out of bounds write due to a missing bounds check. This could lead to local denial of service with no additional execution privileges needed.

An issue was discovered on Samsung mobile devices with KK(4.4), L(5.0/5.1), M(6.0), and N(7.0) software. There is a buffer overflow in the fps sysfs entry. The Samsung ID is SVE-2016-7510 (January 2017).

In libxml2, there is a possible out of bounds read due to a buffer overflow. This could lead to local information disclosure with no additional execution privileges needed. User interaction is not needed for exploitation.

A buffer overflow vulnerability was discovered in Zoom Client for Meetings (for Android, iOS, Linux, macOS, and Windows) before version 5.8.4, Zoom Client for Meetings for Blackberry (for Android and iOS) before version 5.8.1, Zoom Client for Meetings for intune (for Android and iOS) before version 5.8.4, Zoom Client for Meetings for Chrome OS before version 5.0.1, Zoom Rooms for Conference Room (for Android, AndroidBali, macOS, and Windows) before version 5.8.3, Controllers for Zoom Rooms (for Android, iOS, and Windows) before version 5.8.3, Zoom VDI Windows Meeting Client before version 5.8.4, Zoom VDI Azure Virtual Desktop Plugins (for Windows x86 or x64, IGEL x64, Ubuntu x64, HP ThinPro OS x64) before version 5.8.4.21112, Zoom VDI Citrix Plugins (for Windows x86 or x64, Mac Universal Installer & Uninstaller, IGEL x64, eLux RP6 x64, HP ThinPro OS x64, Ubuntu x64, CentOS x 64, Dell ThinOS) before version 5.8.4.21112, Zoom VDI VMware Plugins (for Windows x86 or x64, Mac Universal Installer & Uninstaller, IGEL x64, eLux RP6 x64, HP ThinPro OS x64, Ubuntu x64, CentOS x 64, Dell ThinOS) before version 5.8.4.21112, Zoom Meeting SDK for Android before version 5.7.6.1922, Zoom Meeting SDK for iOS before version 5.7.6.1082, Zoom Meeting SDK for macOS before version 5.7.6.1340, Zoom Meeting SDK for Windows before version 5.7.6.1081, Zoom Video SDK (for Android, iOS, macOS, and Windows) before version 1.1.2, Zoom On-Premise Meeting Connector Controller before version 4.8.12.20211115, Zoom On-Premise Meeting Connector MMR before version 4.8.12.20211115, Zoom On-Premise Recording Connector before version 5.1.0.65.20211116, Zoom On-Premise Virtual Room Connector before version 4.4.7266.20211117, Zoom On-Premise Virtual Room Connector Load Balancer before version 2.5.5692.20211117, Zoom Hybrid Zproxy before version 1.0.1058.20211116, and Zoom Hybrid MMR before version 4.6.20211116.131_x86-64. This can potentially allow a malicious actor to crash the service or application, or leverage this vulnerability to execute arbitrary code.

An issue was discovered on Samsung mobile devices with M(6.0) and N(7.x) software. There is a buffer overflow in process_cipher_tdea. The Samsung ID is SVE-2017-8973 (July 2017).

In validateSsid of WifiConfigurationUtil.java, there is a possible way to overflow a system configuration file 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.

An issue was discovered on Samsung mobile devices with O(8.1) and P(9.0) (Exynos chipsets) software. load_kernel has a buffer overflow via untrusted data. The Samsung ID is SVE-2019-14939 (September 2019).

An issue was discovered on Samsung mobile devices with O(8.x) and P(9.0) (Exynos chipsets) software. A buffer overflow in the HDCP Trustlet affects secure TEEGRIS memory. The Samsung ID is SVE-2019-15283 (November 2019).

In getRegistration of RemoteProvisioningService.java, there is a possible way to permanently disable the AndroidKeyStore key generation feature by updating the attestation keys of all installed apps due to improper input validation. This could lead to local denial of service with no additional execution privileges needed. User interaction is not needed for exploitation.

An issue was discovered on Samsung mobile devices with M(6.0) and N(7.0) (Exynos8890 chipsets) software. There are multiple Buffer Overflows in TSP sysfs cmd_store. The Samsung ID is SVE-2016-7500 (January 2017).

An issue was discovered on Samsung mobile devices with KK(4.4), L(5.0/5.1), M(6.0), and N(7.0) (Exynos54xx, Exynos7420, Exynos8890, or Exynos8895 chipsets) software. There is a buffer overflow in the sensor hub. The Samsung ID is SVE-2016-7484 (January 2017).

An issue was discovered on Samsung mobile devices with M(6.0) and N(7.x) software. There is a buffer overflow in tlc_server. The Samsung ID is SVE-2017-8888 (July 2017).

In msm_isp_prepare_v4l2_buf in Android for MSM, Firefox OS for MSM, and QRD Android before 2017-02-12, an array out of bounds can occur.

In setTo of ResourceTypes.cpp, there is a possible read out of bounds due to an incorrect bounds check. This could lead to local information disclosure with no additional execution privileges needed. User interaction is not needed for exploitation.

In several functions of the RTCP packet decoder, there is a possible out-of-bounds read due to a missing bounds check. This could lead to remote information disclosure with no additional execution privileges needed. User interaction is needed for exploitation.

In pvmp3_get_main_data_size of pvmp3_get_main_data_size.cpp, there is a possible buffer overread due to a missing bounds check. This could lead to remote information disclosure of global static variables with no additional execution privileges needed. User interaction is not needed for exploitation.

In sendHciCommand of bluetooth_hci.cc, there is a possible out of bounds read due to a heap buffer overflow. This could lead to local information disclosure with System execution privileges needed. User interaction is not needed for exploitation.

In tscpu_write_GPIO_out and mtkts_Abts_write of mtk_ts_Abts.c, there is a possible buffer overflow in an sscanf due to improper input validation. This could lead to a local escalation of privilege with System execution privileges needed. User interaction is not needed for exploitation.

In dumpBatteryDefend of dump_power.cpp, there is a possible out of bounds read due to a heap buffer overflow. This could lead to local information disclosure 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. Missing validation between arguments to `tf.raw_ops.Conv3DBackprop*` operations can result in heap buffer overflows. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/4814fafb0ca6b5ab58a09411523b2193fed23fed/tensorflow/core/kernels/conv_grad_shape_utils.cc#L94-L153) assumes that the `input`, `filter_sizes` and `out_backprop` tensors have the same shape, as they are accessed in parallel. 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 trigger a heap buffer overflow in Eigen implementation of `tf.raw_ops.BandedTriangularSolve`. The implementation(https://github.com/tensorflow/tensorflow/blob/eccb7ec454e6617738554a255d77f08e60ee0808/tensorflow/core/kernels/linalg/banded_triangular_solve_op.cc#L269-L278) calls `ValidateInputTensors` for input validation but fails to validate that the two tensors are not empty. Furthermore, since `OP_REQUIRES` macro only stops execution of current function after setting `ctx->status()` to a non-OK value, callers of helper functions that use `OP_REQUIRES` must check value of `ctx->status()` before continuing. This doesn't happen in this op's implementation(https://github.com/tensorflow/tensorflow/blob/eccb7ec454e6617738554a255d77f08e60ee0808/tensorflow/core/kernels/linalg/banded_triangular_solve_op.cc#L219), hence the validation that is present is also not effective. 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. If the `splits` argument of `RaggedBincount` does not specify a valid `SparseTensor`(https://www.tensorflow.org/api_docs/python/tf/sparse/SparseTensor), then an attacker can trigger a heap buffer overflow. This will cause a read from outside the bounds of the `splits` tensor buffer in the implementation of the `RaggedBincount` op(https://github.com/tensorflow/tensorflow/blob/8b677d79167799f71c42fd3fa074476e0295413a/tensorflow/core/kernels/bincount_op.cc#L430-L433). Before the `for` loop, `batch_idx` is set to 0. The user controls the `splits` array, making it contain only one element, 0. Thus, the code in the `while` loop would increment `batch_idx` and then try to read `splits(1)`, which is outside of bounds. 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 also affected.

TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a heap buffer overflow to occur in `Conv2DBackpropFilter`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/1b0296c3b8dd9bd948f924aa8cd62f87dbb7c3da/tensorflow/core/kernels/conv_grad_filter_ops.cc#L495-L497) computes the size of the filter tensor but does not validate that it matches the number of elements in `filter_sizes`. Later, when reading/writing to this buffer, code uses the value computed here, instead of the number of elements in the tensor. 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.