An issue was discovered on Samsung mobile devices with M(6.0) software. SLocation can cause a system crash via a call to an API that is not implemented. The Samsung ID is SVE-2017-8285 (April 2017).

Insufficient validation of untrusted input in Downloads in Google Chrome on Windows prior to 109.0.5414.74 allowed a remote attacker to bypass download restrictions via a crafted HTML page. (Chromium security severity: Low)

An issue was discovered on Samsung mobile devices with L(5.0/5.1) and M(6.0) software. SVoice allows provider seizure via an application that uses a custom provider. The Samsung ID is SVE-2016-6942 (February 2017).

An issue was discovered on Samsung mobile devices with L(5.0/5.1) and M(6.0) software. SVoice allows Hare Hunting during application installation. The Samsung ID is SVE-2016-6942 (February 2017).

An issue was discovered on Samsung mobile devices with KK(4.4.x), L(5.x), M(6.x), and N(7.x) software. Arbitrary file read/write operations can occur in the locked state via a crafted MTP command. The Samsung ID is SVE-2017-10086 (November 2017).

In TeleService, there is a possible system crash due to improper input validation. This could lead to local denial of service with no additional execution privileges needed

In TeleService, there is a possible system crash due to improper input validation. This could lead to local denial of service with no additional execution privileges needed

An issue was discovered on Samsung mobile devices with N(7.x) software. An attacker can disable the Location service on a locked device, making it impossible for the rightful owner to find a stolen device. The Samsung ID is SVE-2017-8524 (May 2017).

In TeleService, there is a possible system crash due to improper input validation. This could lead to local denial of service with no additional execution privileges needed

An issue was discovered on Samsung mobile devices with N(7.0) (Qualcomm chipsets) software. There is an RKP kernel protection bypass (in which unwanted memory mappings may occur) because of a lack of MSR trapping. The Samsung ID is SVE-2016-7901 (April 2017).

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_scan_event_callback(), which is received from firmware, leads to potential out of bounds memory read.

In Samsung Gear products, Bluetooth link key is updated to the different key which is same with attacker's link key. It can be attacked without user's intention only if attacker can reveal the Bluetooth address of target device and paired user's smartphone

Google Chrome before 11.0.696.57 allows user-assisted remote attackers to spoof the URL bar via vectors involving a redirect and a manual reload.

In prepare_response_locked of lwis_transaction.c, there is a possible out of bounds write 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.

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.

In Android for MSM, Firefox OS for MSM, QRD Android, with all Android releases from CAF using the Linux kernel, improper input validation for fix_param->vdev_id in wma_p2p_lo_event_handler(), which is received from firmware, leads to potential out of bounds memory read.

In Android for MSM, Firefox OS for MSM, QRD Android, with all Android releases from CAF using the Linux kernel, improper input validation for vent->vdev_id in wma_action_frame_filter_mac_event_handler(), which is received from firmware, leads to arbitrary code execution.

In TensorFlow before 1.15.2 and 2.0.1, converting a string (from Python) to a tf.float16 value results in a segmentation fault in eager mode as the format checks for this use case are only in the graph mode. This issue can lead to denial of service in inference/training where a malicious attacker can send a data point which contains a string instead of a tf.float16 value. Similar effects can be obtained by manipulating saved models and checkpoints whereby replacing a scalar tf.float16 value with a scalar string will trigger this issue due to automatic conversions. This can be easily reproduced by tf.constant("hello", tf.float16), if eager execution is enabled. This issue is patched in TensorFlow 1.15.1 and 2.0.1 with this vulnerability patched. TensorFlow 2.1.0 was released after we fixed the issue, thus it is not affected. Users are encouraged to switch to TensorFlow 1.15.1, 2.0.1 or 2.1.0.

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

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.

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.

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.

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

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.

In Android for MSM, Firefox OS for MSM, QRD Android, with all Android releases from CAF using the Linux kernel, improper input validation while processing an encrypted authentication management frame in lim_send_auth_mgmt_frame() leads to buffer overflow.

Google Chrome before 9.0.597.94 does not properly handle anonymous blocks, which allows remote attackers to cause a denial of service or possibly have unspecified other impact via unknown vectors that lead to a "stale pointer."

In Android for MSM, Firefox OS for MSM, QRD Android, with all Android releases from CAF using the Linux kernel, improper input validation for cmpl_params->num_reports, param_buf->desc_ids and param_buf->status in wma_mgmt_tx_bundle_completion_handler(), which is received from firmware, leads to potential out of bounds memory read.

Google Chrome before 9.0.597.84 does not properly handle autofill profile merging, which has unspecified impact and remote attack vectors.

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, in MMCP, a downlink message is not being properly validated.

An issue was discovered on LG mobile devices with Android OS 9.0 and 10 software. The Wi-Fi subsystem has incorrect input validation, leading to a crash. The LG ID is LVE-SMP-200022 (October 2020).

In affected versions of TensorFlow running an LSTM/GRU model where the LSTM/GRU layer receives an input with zero-length results in a CHECK failure when using the CUDA backend. This can result in a query-of-death vulnerability, via denial of service, if users can control the input to the layer. This is fixed in versions 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2, and 2.4.0.

An issue was discovered on LG mobile devices with Android OS 7.2, 8.0, 8.1, 9, and 10 software. A service crash may occur because of incorrect input validation. The LG ID is LVE-SMP-200013 (July 2020).

In access_secure_service_from_temp_bond of btm_sec.cc, there is a possible way to achieve keystroke injection due to improper input validation. This could lead to remote (proximal/adjacent) escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation.

In multiple locations, there is a possible permissions bypass due to improper input validation. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is needed for exploitation.

Insufficient data validation in navigation in Google Chrome on Android prior to 86.0.4240.75 allowed a remote attacker who had compromised the renderer process to bypass navigation restrictions via a crafted HTML page.

Insufficient data validation in V8 in Google Chrome prior to 87.0.4280.88 allowed a remote attacker to potentially exploit heap corruption via a crafted HTML page.

An issue was discovered on Samsung mobile devices with Q(10.0) software. Attackers can trigger an out-of-bounds access and device reset via a 4K wallpaper image because ImageProcessHelper mishandles boundary checks. The Samsung ID is SVE-2020-18056 (July 2020).

Insufficient data validation in WASM in Google Chrome prior to 87.0.4280.66 allowed a remote attacker to potentially exploit heap corruption via a crafted HTML page.

Insufficient data validation in webUI in Google Chrome on ChromeOS prior to 86.0.4240.75 allowed a local attacker to bypass content security policy via a crafted HTML page.

In Tensorflow before version 2.3.1, the `RaggedCountSparseOutput` implementation does not validate that the input arguments form a valid ragged tensor. In particular, there is no validation that the values in the `splits` tensor generate a valid partitioning of the `values` tensor. Thus, the code sets up conditions to cause a heap buffer overflow. A `BatchedMap` is equivalent to a vector where each element is a hashmap. However, if the first element of `splits_values` is not 0, `batch_idx` will never be 1, hence there will be no hashmap at index 0 in `per_batch_counts`. Trying to access that in the user code results in a segmentation fault. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1.

In Tensorflow before version 2.3.1, the `RaggedCountSparseOutput` implementation does not validate that the input arguments form a valid ragged tensor. In particular, there is no validation that the values in the `splits` tensor generate a valid partitioning of the `values` tensor. Hence, the code is prone to heap buffer overflow. If `split_values` does not end with a value at least `num_values` then the `while` loop condition will trigger a read outside of the bounds of `split_values` once `batch_idx` grows too large. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1.

In Tensorflow before version 2.3.1, the `RaggedCountSparseOutput` does not validate that the input arguments form a valid ragged tensor. In particular, there is no validation that the `splits` tensor has the minimum required number of elements. Code uses this quantity to initialize a different data structure. Since `BatchedMap` is equivalent to a vector, it needs to have at least one element to not be `nullptr`. If user passes a `splits` tensor that is empty or has exactly one element, we get a `SIGABRT` signal raised by the operating system. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1.

In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, changing the TensorFlow's `SavedModel` protocol buffer and altering the name of required keys results in segfaults and data corruption while loading the model. This can cause a denial of service in products using `tensorflow-serving` or other inference-as-a-service installments. Fixed were added in commits f760f88b4267d981e13f4b302c437ae800445968 and fcfef195637c6e365577829c4d67681695956e7d (both going into TensorFlow 2.2.0 and 2.3.0 but not yet backported to earlier versions). However, this was not enough, as #41097 reports a different failure mode. The issue is patched in commit adf095206f25471e864a8e63a0f1caef53a0e3a6, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.

In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, by controlling the `fill` argument of tf.strings.as_string, a malicious attacker is able to trigger a format string vulnerability due to the way the internal format use in a `printf` call is constructed. This may result in segmentation fault. The issue is patched in commit 33be22c65d86256e6826666662e40dbdfe70ee83, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.

In Tensorflow before versions 2.2.1 and 2.3.1, if a user passes a list of strings to `dlpack.to_dlpack` there is a memory leak following an expected validation failure. The issue occurs because the `status` argument during validation failures is not properly checked. Since each of the above methods can return an error status, the `status` value must be checked before continuing. The issue is patched in commit 22e07fb204386768e5bcbea563641ea11f96ceb8 and is released in TensorFlow versions 2.2.1, or 2.3.1.

Google Chrome before 7.0.517.41 does not properly perform autofill operations for forms, which allows remote attackers to cause a denial of service (application crash) or possibly have unspecified other impact via a crafted HTML document.

An issue was discovered on Samsung mobile devices with Q(10.0) (with TEEGRIS on Exynos chipsets) software. The Widevine Trustlet allows arbitrary code execution because of memory disclosure, The Samsung IDs are SVE-2020-17117, SVE-2020-17118, SVE-2020-17119, and SVE-2020-17161 (June 2020).

An issue was discovered on Samsung mobile devices with O(8.x) (with TEEGRIS) software. The Gatekeeper Trustlet allows a brute-force attack on user credentials. The Samsung ID is SVE-2020-16908 (June 2020).

Insufficient policy enforcement in reader mode in Google Chrome prior to 77.0.3865.75 allowed a remote attacker to bypass site isolation via a crafted HTML page.

Insufficient data validation in SQLite in Google Chrome prior to 79.0.3945.79 allowed a remote attacker to bypass defense-in-depth measures via a crafted HTML page.