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-32872662. References: QC-CR#1095009.

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-32871330. References: QC-CR#1092497.

A remote code execution vulnerability in the Android system (bluetooth). Product: Android. Versions: 4.4.4, 5.0.2, 5.1.1, 6.0, 6.0.1, 7.0, 7.1.1, 7.1.2, 8.0. Android ID: A-63146237.

A elevation of privilege vulnerability in the Android media framework (libeffects). Product: Android. Versions: 4.4.4, 5.0.2, 5.1.1, 6.0, 6.0.1, 7.0, 7.1.1, 7.1.2. Android ID: A-37536407.

An elevation of privilege vulnerability in NFC could enable a proximate attacker to execute arbitrary code within the context of a privileged process. This issue is rated as High because it could be used to gain local access to elevated capabilities, which are not normally accessible to a third-party application. Product: Android. Versions: 4.4.4, 5.0.2, 5.1.1, 6.0, 6.0.1, 7.0, 7.1.1. Android ID: A-33434992.

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.

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.

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 open source platform for machine learning. In affected versions the shape inference function for `Transpose` is vulnerable to a heap buffer overflow. This occurs whenever `perm` contains negative elements. The shape inference function does not validate that the indices in `perm` are all valid. 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 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 modem driver, there is a possible system crash due to improper input validation. This could lead to local information disclosure with System execution privileges needed

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.

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.

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.

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.

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.

An issue was discovered on LG mobile devices with Android OS 7.2, 8.0, 8.1, 9, and 10 (MTK chipsets). Code execution can occur via an MTK AT command handler buffer overflow. The LG ID is LVE-SMP-200008 (June 2020).

An issue was discovered on LG mobile devices with Android OS 7.2, 8.0, 8.1, 9, and 10 (MTK chipsets). Code execution can occur via a custom AT command handler buffer overflow. The LG ID is LVE-SMP-200007 (June 2020).

An issue was discovered on Samsung mobile devices with P(9.0) (Exynos chipsets) software. The S.LSI Wi-Fi drivers have a buffer overflow. The Samsung ID is SVE-2020-16906 (May 2020).

An elevation of privilege vulnerability in codecs/aacenc/SoftAACEncoder2.cpp in libstagefright in Mediaserver could enable a local malicious application to execute arbitrary code within the context of a privileged process. This issue is rated as High because it could be used to gain local access to elevated capabilities, which are not normally accessible to a third-party application. Product: Android. Versions: 4.4.4, 5.0.2, 5.1.1, 6.0, 6.0.1, 7.0, 7.1.1, 7.1.2. Android ID: A-34617444.

TensorFlow is an open source platform for machine learning. In version 2.8.0, the `TensorKey` hash function used total estimated `AllocatedBytes()`, which (a) is an estimate per tensor, and (b) is a very poor hash function for constants (e.g. `int32_t`). It also tried to access individual tensor bytes through `tensor.data()` of size `AllocatedBytes()`. This led to ASAN failures because the `AllocatedBytes()` is an estimate of total bytes allocated by a tensor, including any pointed-to constructs (e.g. strings), and does not refer to contiguous bytes in the `.data()` buffer. The discoverers could not use this byte vector anyway because types such as `tstring` include pointers, whereas they needed to hash the string values themselves. This issue is patched in Tensorflow versions 2.9.0 and 2.8.1.

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.

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

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

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 IoT Devices SDK, there is an implementation of calloc() that doesn't have a length check. An attacker could pass in memory objects larger than the buffer and wrap around to have a smaller buffer than required, allowing the attacker access to the other parts of the heap. We recommend upgrading the Google Cloud IoT Device SDK for Embedded C used to 1.0.3 or greater.

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 display, there is a possible classic 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. Patch ID: ALPS07929788; Issue ID: ALPS07929788.

An issue was discovered on Samsung mobile devices with O(8.x), P(9.0), and Q(10.0) (Exynos chipsets) software. The secure bootloade has a buffer overflow of the USB buffer, leading to arbitrary code execution. The Samsung ID is SVE-2019-15872 (January 2020).

In memory management driver, there is a possible information disclosure due to a missing bounds check. This could lead to local information disclosure with no additional execution privileges needed. User interaction is not needed for exploitation. Patch ID: ALPS05403499; Issue ID: ALPS05381235.

An issue was discovered on Samsung mobile devices with P(9.0) (Exynos 9820 chipsets) software. A Buffer overflow occurs when loading the UH Partition during Secure Boot. The Samsung ID is SVE-2019-14412 (August 2019).

Realtek Linux/Android Bluetooth Mesh SDK has a buffer overflow vulnerability due to insufficient validation for the length of segmented packets’ shift parameter. An unauthenticated attacker in the adjacent network can exploit this vulnerability to cause buffer overflow and disrupt service.

TensorFlow is an open source platform for machine learning. Prior to versions 2.12.0 and 2.11.1, there is a heap buffer overflow in TAvgPoolGrad. A fix is included in TensorFlow 2.12.0 and 2.11.1.

An arbitrary memory write vulnerability in Asylo versions up to 0.6.0 allows an untrusted attacker to make a call to ecall_restore using the attribute output which fails to check the range of a pointer. An attacker can use this pointer to write to arbitrary memory addresses including those within the secure enclave We recommend upgrading past commit 382da2b8b09cbf928668a2445efb778f76bd9c8a

An arbitrary memory overwrite vulnerability in Asylo versions up to 0.6.0 allows an attacker to make a host call to enc_untrusted_create_wait_queue that uses a pointer queue that relies on UntrustedLocalMemcpy, which fails to validate where the pointer is located. This allows an attacker to write memory values from within the enclave. We recommend upgrading past commit a37fb6a0e7daf30134dbbf357c9a518a1026aa02

Buffer overflow in the vorbis_parse_setup_hdr_floors function in the Vorbis decoder in vorbisdec.c in libavcodec in FFmpeg through 1.1.3, as used in Google Chrome before 25.0.1364.97 on Windows and Linux and before 25.0.1364.99 on Mac OS X and other products, allows remote attackers to cause a denial of service (divide-by-zero error or out-of-bounds array access) or possibly have unspecified other impact via vectors involving a zero value for a bark map size.

An arbitrary memory read vulnerability in Asylo versions up to 0.6.0 allows an untrusted attacker to make a call to enc_untrusted_recvmsg using an attacker controlled result parameter. The parameter size is unchecked allowing the attacker to read memory locations outside of the intended buffer size including memory addresses within the secure enclave. We recommend upgrading or past commit fa6485c5d16a7355eab047d4a44345a73bc9131e

An arbitrary memory read vulnerability in Asylo versions up to 0.6.0 allows an untrusted attacker to make a call to enc_untrusted_read whose return size was not validated against the requrested size. The parameter size is unchecked allowing the attacker to read memory locations outside of the intended buffer size including memory addresses within the secure enclave. We recommend upgrading past commit b1d120a2c7d7446d2cc58d517e20a1b184b82200

An arbitrary memory read vulnerability in Asylo versions up to 0.6.0 allows an untrusted attacker to make a call to enc_untrusted_inet_pton using an attacker controlled klinux_addr_buffer parameter. The parameter size is unchecked allowing the attacker to read memory locations outside of the intended buffer size including memory addresses within the secure enclave. We recommend upgrading past commit 8fed5e334131abaf9c5e17307642fbf6ce4a57ec

A Buffer Overflow vulnerability in the khcrypt implementation in Google Earth Pro versions up to and including 7.3.2 allows an attacker to perform a Man-in-the-Middle attack using a specially crafted key to read data past the end of the buffer used to hold it. Mitigation: Update to Google Earth Pro 7.3.3.

An arbitrary memory read vulnerability in Asylo versions up to 0.6.0 allows an untrusted attacker to make a call to enc_untrusted_recvfrom whose return size was not validated against the requested size. The parameter size is unchecked allowing the attacker to read memory locations outside of the intended buffer size including memory addresses within the secure enclave. We recommend upgrading past commit 6e158d558abd3c29a0208e30c97c9a8c5bd4230f

Realtek Linux/Android Bluetooth Mesh SDK has a buffer overflow vulnerability due to insufficient validation for segmented packets’ link parameter. An unauthenticated attacker in the adjacent network can exploit this vulnerability to cause buffer overflow and disrupt service.

Realtek Linux/Android Bluetooth Mesh SDK has a buffer overflow vulnerability due to insufficient validation for the size of segmented packets’ reference parameter. An unauthenticated attacker in the adjacent network can exploit this vulnerability to cause buffer overflow and disrupt service.

Realtek Linux/Android Bluetooth Mesh SDK has a buffer overflow vulnerability due to insufficient validation for broadcast network packet length. An unauthenticated attacker in the adjacent network can exploit this vulnerability to disrupt service.

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.

An issue was discovered on Samsung mobile devices with Q(10.0) (Exynos990 chipsets) software. The S3K250AF Secure Element CC EAL 5+ chip allows attackers to execute arbitrary code and obtain sensitive information via a buffer overflow. The Samsung ID is SVE-2020-18632 (November 2020).

An issue was discovered on Samsung mobile devices with O(8.x), P(9.0), and Q(10.0) (Exynos chipsets) software. The baseband component has a buffer overflow via an abnormal SETUP message, leading to execution of arbitrary code. The Samsung ID is SVE-2020-18098 (September 2020).