NVIDIA Tegra kernel driver contains a vulnerability in NVMAP where an attacker has the ability to write an arbitrary value to an arbitrary location which may lead to an escalation of privileges. This issue is rated as high.
In Android before the 2018-05-05 security patch level, NVIDIA Tegra X1 TZ contains a vulnerability in Widevine TA where the software writes data past the end, or before the beginning, of the intended buffer, which may lead to escalation of Privileges. This issue is rated as high. Android: A-69377364. Reference: N-CVE-2017-6293.
NVIDIA driver contains a vulnerability where it is possible a use after free malfunction can occur due to improper usage of the list_for_each kernel macro which could enable unauthorized code execution and possibly lead to elevation of privileges. This issue is rated as high. Product: Android. Version: N/A. Android ID: A-38046353. References: N-CVE-2017-6263.
VMware AirWatch Launcher for Android prior to 3.2.2 contains a vulnerability that could allow an escalation of privilege from the launcher UI context menu to native UI functionality and privilege. Successful exploitation of this issue could result in an escalation of privilege.
In Qualcomm Android for MSM, Firefox OS for MSM, and QRD Android with all Android releases from CAF using the Linux kernel before security patch level 2018-04-05, while IPA WAN-driver is processing multiple requests from modem/user-space module, the global variable "num_q6_rule" does not have a mutex lock and thus can be accessed and modified by multiple threads.
NVIDIA Shield TV Experience prior to v8.0, NVIDIA Tegra bootloader contains a vulnerability in nvtboot where the Trusted OS image is improperly authenticated, which may lead to code execution, denial of service, escalation of privileges, and information disclosure, code execution, denial of service, or escalation of privileges
Buffer overflow due to improper validation of buffer size while IPA driver processing to perform read operation in Snapdragon Auto, Snapdragon Compute, Snapdragon Consumer IOT, Snapdragon Industrial IOT, Snapdragon Mobile, Snapdragon Voice & Music, Snapdragon Wearables in MDM9150, MDM9607, MDM9650, MSM8909W, MSM8996AU, QCS605, Qualcomm 215, SD 210/SD 212/SD 205, SD 425, SD 427, SD 430, SD 435, SD 439 / SD 429, SD 450, SD 625, SD 632, SD 636, SD 665, SD 675, SD 712 / SD 710 / SD 670, SD 730, SD 820, SD 820A, SD 835, SD 845 / SD 850, SD 855, SDA660, SDM439, SDM630, SDM660, SDX20, SDX24
Firmware is getting into loop of overwriting memory when scan command is given from host because of improper validation. in Snapdragon Compute, Snapdragon Consumer IOT, Snapdragon Industrial IOT, Snapdragon Mobile, Snapdragon Voice & Music, Snapdragon Wired Infrastructure and Networking in IPQ8074, QCA8081, QCS404, QCS405, QCS605, SD 425, SD 427, SD 430, SD 435, SD 450, SD 625, SD 636, SD 712 / SD 710 / SD 670, SD 820, SD 835, SD 845 / SD 850, SD 855, SD 8CX, SDA660, SDM630, SDM660
In OatFileAssistant::GenerateOatFile of oat_file_assistant.cc, there is a possible file corruption issue due to an insecure default value. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation. Product: Android. Versions: Android-7.0 Android-7.1.1 Android-7.1.2 Android-8.0 Android-8.1 Android-9. Android ID: A-130821293.
NVIDIA Shield TV Experience prior to v8.0, contains a vulnerability in the NVIDIA Games App where it improperly exports an Activity but does not properly restrict which applications can launch the Activity, which may lead to code execution or denial of service.
Possible Buffer overflow when transmitting an RTP packet in snapdragon automobile and snapdragon wear in versions MDM9615, MDM9625, MDM9635M, MDM9640, MDM9645, MDM9650, MDM9655, MSM8909W, MSM8996AU, SD 210/SD 212/SD 205, SD 425, SD 427, SD 430, SD 435, SD 450, SD 615/16/SD 415, SD 625, SD 636, SD 650/52, SD 712 / SD 710 / SD 670, SD 810, SD 820, SD 835, SD 845 / SD 850, SDA660, SDM630, SDM660, Snapdragon_High_Med_2016, SXR1130
Secure application can access QSEE kernel memory through Ontario kernel driver in Snapdragon Automobile, Snapdragon Mobile and Snapdragon Wear in versions MDM9206, MDM9607, MDM9650, MSM8996AU, SD 210/SD 212/SD 205, SD 425, SD 430, SD 450, SD 625, SD 820, SD 820A, SD 835, SD 845, SD 850, SDA660, SDA845, SDX24, SXR1130.
A crafted binder request can cause an arbitrary unmap in MediaServer in all Android releases from CAF (Android for MSM, Firefox OS for MSM, QRD Android) using the Linux Kernel.
Improper access control on secure display buffers in snapdragon automobile, snapdragon mobile and snapdragon wear in versions MDM9206, MDM9607, MDM9650, MSM8996AU, SD 210/SD 212/SD 205, SD 820, SD 820A, SD 835, SDA660
Possible buffer overflows and array out of bounds accesses in Android releases from CAF using the linux kernel (Android for MSM, Firefox OS for MSM, QRD Android) before security patch level 2018-06-05 while flashing images.
During secure boot, addition is performed on uint8 ptrs which led to overflow issue in Small Cell SoC, Snapdragon Automobile, Snapdragon Mobile, Snapdragon Wear in version FSM9055, IPQ4019, MDM9206, MDM9607, MDM9625, MDM9635M, MDM9640, MDM9645, MDM9650, MDM9655, MSM8909W, 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 800, SD 810, SD 820, SD 820A, SD 835, SD 845, SD 850, SDA660, SDX20
In wma_ndp_end_response_event_handler(), the variable len_end_rsp is a uint32 which can be overflowed if the value of variable "event->num_ndp_end_rsp_per_ndi_list" is very large which can then lead to a heap overwrite of the heap object end_rsp in all Android releases from CAF (Android for MSM, Firefox OS for MSM, QRD Android) using the Linux Kernel.
Use after free in QSH client rule processing in snapdragon mobile and snapdragon wear in versions MDM9206, MDM9607, MDM9635M, MDM9640, MDM9645, MDM9650, MDM9655, MSM8909W, SD 210/SD 212/SD 205, SD 425, SD 427, SD 430, SD 435, SD 450, SD 625, SD 636, SD 820, SD 835, SDA660, SDM630, SDM660, Snapdragon_High_Med_2016.
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 Android for MSM, Firefox OS for MSM, QRD Android, with all Android releases from CAF using the Linux kernel, improper input validation for p2p_noa_info in wma_send_bcn_buf_ll() which is received from firmware leads to potential buffer overflow.
Modem segments are unlocked after authentication, leaving modem segments open to all in Snapdragon Mobile, Snapdragon Wear in version MDM9607, MSM8909W, SD 210/SD 212/SD 205, SD 425, SD 430
Access control on applications is not applied while accessing SafeSwitch services can lead to improper access in Snapdragon Automobile, Snapdragon Mobile, Snapdragon Wear in version MDM9206, MDM9607, MDM9650, MSM8909W, MSM8996AU, SD 210/SD 212/SD 205, SD 425, SD 430, SD 450, SD 615/16/SD 415, SD 617, SD 625, SD 650/52, SD 820, SD 820A, SD 835, SD 845, SDA660, SDX20.
NVIDIA Shield TV Experience prior to v8.0, contains a vulnerability in the custom NVIDIA API used in the mount system service where user data could be overridden, which may lead to code execution, denial of service, or information disclosure.
In Android for MSM, Firefox OS for MSM, QRD Android, with all Android releases from CAF using the Linux kernel, improper buffer length calculation in wma_roam_scan_filter() leads to buffer overflow.
Restrictions related to the modem (sim lock, sim kill) can be bypassed by manipulating the system to issue a deactivation flow sequence in Snapdragon Automobile, Snapdragon Mobile in versions MSM8996AU,SD 410/12,SD 820,SD 820A.
TensorFlow is an open source platform for machine learning. In affected versions several TensorFlow operations are missing validation for the shapes of the tensor arguments involved in the call. Depending on the API, this can result in undefined behavior and segfault or `CHECK`-fail related crashes but in some scenarios writes and reads from heap populated arrays are also possible. We have discovered these issues internally via tooling while working on improving/testing GPU op determinism. As such, we don't have reproducers and there will be multiple fixes for these issues. These fixes will be included in TensorFlow 2.7.0. We will also cherrypick these commits 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 a device, with screen size 1440x2560, the check of contiguous buffer will overflow on certain buffer size resulting in an Integer Overflow or Wraparound in System UI in Snapdragon Automobile, Snapdragon Mobile in version MDM9635M, SD 400, SD 410/12, SD 425, SD 427, SD 430, SD 435, SD 450, SD 615/16/SD 415, SD 617, SD 625, SD 650/52, SD 800, SD 810, SD 820, SD 820A, SD 835, SDM630, SDM636, SDM660, Snapdragon_High_Med_2016.
In Android for MSM, Firefox OS for MSM, QRD Android, with all Android releases from CAF using the Linux kernel, improper input validation for num_vdev_mac_entries in wma_pdev_hw_mode_transition_evt_handler(), which is received from firmware, leads to potential buffer overflow.
When a particular GPIO is protected by blocking access to the corresponding GPIO resource registers, the protection can be bypassed using the corresponding banked GPIO registers instead in Snapdragon Mobile, Snapdragon Wear in version MDM9206, MDM9607, MDM9650, SD 210/SD 212/SD 205, SD 425, SD 430, SD 450, SD 625, SD 650/52, SD 835, SDA660.
Non-secure SW can cause SDCC to generate secure bus accesses, which may expose RPM access in Snapdragon Mobile, Snapdragon Wear in version MDM9206, MDM9607, MDM9650, SD 210/SD 212/SD 205, SD 425, SD 430, SD 450, SD 625, SD 650/52, SD 835, SDA660.
Possible buffer overflow if input is not null terminated in DSP Service module in Snapdragon Automobile, Snapdragon Mobile, Snapdragon Wear in version MDM9206, MDM9607, MDM9650, MSM8909W, MSM8996AU, SD 210/SD 212/SD 205, SD 450, SD 615/16/SD 415, SD 625, SD 650/52, SD 820, SD 820A, SD 835, SDX20.
ClientEnv exposes services 0-32 to HLOS in Snapdragon Automobile, Snapdragon Mobile, Snapdragon Wear in version MSM8909W, MSM8996AU, SD 210/SD 212/SD 205, SD 410/12, SD 425, SD 427, SD 430, SD 435, SD 450, SD 615/16/SD 415, SD 617, SD 625, SD 650/52, SD 810, SD 820, SD 820A, SD 835, SD 845, SDA660, SDM429, SDM439, SDM630, SDM632, SDM636, SDM660, Snapdragon_High_Med_2016
TensorFlow is an open source platform for machine learning. In affeced versions during execution, `EinsumHelper::ParseEquation()` is supposed to set the flags in `input_has_ellipsis` vector and `*output_has_ellipsis` boolean to indicate whether there is ellipsis in the corresponding inputs and output. However, the code only changes these flags to `true` and never assigns `false`. This results in unitialized variable access if callers assume that `EinsumHelper::ParseEquation()` always sets these flags. 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.
Buffer overflow in AES-CCM and AES-GCM encryption via initialization vector in snapdragon automobile, snapdragon mobile and snapdragon wear in versions IPQ8074, MDM9206, MDM9607, MDM9635M, MDM9640, MDM9650, MDM9655, MSM8909W, MSM8996AU, SD 210/SD 212/SD 205, SD 410/12, SD 425, SD 427, SD 430, SD 435, SD 439 / SD 429, SD 450, SD 615/16/SD 415, SD 625, SD 632, SD 636, SD 650/52, SD 810, SD 820, SD 820A, SD 835, SDA660, SDM439, SDM630, SDM660, SDX24, Snapdragon_High_Med_2016.
In all Qualcomm products with Android releases from CAF using the Linux kernel, the IL client may free a buffer OMX Video Encoder Component and then subsequently access the already freed buffer.
XPU Master privilege escalation is possible due to improper access control of unused configuration xPU ports where unused configuration ports are open in Snapdragon Automobile, Snapdragon Mobile, Snapdragon Wear in version MDM9607, MDM9635M, MDM9640, MDM9645, MDM9650, MDM9655, MSM8909W, MSM8996AU, SD 210/SD 212/SD 205, SD 410/12, SD 425, SD 427, SD 430, SD 435, SD 450, SD 615/16/SD 415, SD 625, SD 650/52, SD 810, SD 820, SD 820A, SD 835, SDA660, SDM429, SDM439, SDM630, SDM632, SDM636, SDM660, Snapdragon_High_Med_2016.
In all Qualcomm products with Android releases from CAF using the Linux kernel, multiple values received from firmware are not properly validated in wma_get_ll_stats_ext_buf() and are used to allocate the sizes of buffers and may be vulnerable to integer overflow leading to buffer overflow.
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
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