Buffer overflow in Google Chrome before 15.0.874.120 allows remote attackers to cause a denial of service or possibly have unspecified other impact via vectors related to shader variable mapping.

Buffer overflow in the locale implementation in Google Chrome before 17.0.963.46 allows remote attackers to cause a denial of service or possibly have unspecified other impact via unknown vectors.

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.

Buffer overflow in the inspector serialization functionality in Google Chrome before 13.0.782.107 allows user-assisted remote attackers to have an unspecified impact via unknown vectors.

Buffer overflow in Google Chrome before 8.0.552.237 and Chrome OS before 8.0.552.344 allows remote attackers to cause a denial of service or possibly have unspecified other impact via vectors related to PDF shading.

An issue was discovered on Samsung mobile devices with O(8.x), P(9.0), and Q(10.0) (Broadcom Bluetooth chipsets) software. The Bluetooth UART driver has a buffer overflow. The Samsung ID is SVE-2020-18731 (January 2021).

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. The reference kernel of the `CONV_3D_TRANSPOSE` TensorFlow Lite operator wrongly increments the data_ptr when adding the bias to the result. Instead of `data_ptr += num_channels;` it should be `data_ptr += output_num_channels;` as if the number of input channels is different than the number of output channels, the wrong result will be returned and a buffer overflow will occur if num_channels > output_num_channels. An attacker can craft a model with a specific number of input channels. It is then possible to write specific values through the bias of the layer outside the bounds of the buffer. This attack only works if the reference kernel resolver is used in the interpreter. We have patched the issue in GitHub commit 72c0bdcb25305b0b36842d746cc61d72658d2941. 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.

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 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 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 cp_dump driver, 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.

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.

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

In sensor driver, there is a possible out of bounds write due to a missing bounds check. This could lead to local denial of service in kernel.

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.

In android for MSM, Firefox OS for MSM, QRD Android, with all Android releases from CAF using the Linux kernel, while parsing a Measurement Request IE in a Roam Neighbor Action Report, a buffer overflow can occur.

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. 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.

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 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.

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

Assuming system privilege is gained, possible buffer overflow vulnerabilities in the Vision DSP kernel driver prior to SMR Oct-2021 Release 1 allows privilege escalation to Root by hijacking loaded library.

Heap buffer overflow in Skia in Google Chrome prior to 128.0.6613.113 allowed a remote attacker who had compromised the renderer process to potentially exploit heap corruption via a crafted HTML page. (Chromium security severity: High)

Heap buffer overflow in Layout in Google Chrome prior to 127.0.6533.99 allowed a remote attacker to potentially exploit heap corruption via a crafted HTML page. (Chromium security severity: High)

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 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.

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.

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.

In multiple functions of mnh-sm.c, there is a possible way to trigger a heap overflow due to an integer overflow. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation.

In sdpu_compare_uuid_with_attr of sdp_utils.cc, there is a possible out of bounds read due to a heap buffer overflow. This could lead to remote information disclosure 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 KK(4.4) and later software through 2015-05-13. There is a buffer overflow in datablock_write because the amount of received data is not validated. The Samsung ID is SVE-2015-4018 (December 2015).

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.

In sensor driver, there is a possible out of bounds write due to a missing bounds check. This could lead to local denial of service in kernel.

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).

In sensor driver, there is a possible out of bounds write due to a missing bounds check. This could lead to local denial of service in kernel.

In sprd_sysdump driver, there is a possible out of bounds write due to a missing bounds check. This could lead to local denial of service in kernel.

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.

A possible stack-based buffer overflow vulnerability in Widevine trustlet prior to SMR Oct-2021 Release 1 allows arbitrary code execution.

A possible buffer overflow vulnerability in NPU driver prior to SMR JUN-2021 Release 1 allows arbitrary memory write and code execution.

A buffer overflow exists in the Brotli library versions prior to 1.0.8 where an attacker controlling the input length of a "one-shot" decompression request to a script can trigger a crash, which happens when copying over chunks of data larger than 2 GiB. It is recommended to update your Brotli library to 1.0.8 or later. If one cannot update, we recommend to use the "streaming" API as opposed to the "one-shot" API, and impose chunk size limits.

In android for MSM, Firefox OS for MSM, QRD Android, with all Android releases from CAF using the Linux kernel, currently, the value of SIR_MAC_AUTH_CHALLENGE_LENGTH is set to 128 which may result in buffer overflow since the frame parser allows challenge text of length up to 253 bytes, but the driver can not handle challenge text larger than 128 bytes.