In display drm, there is a possible out of bounds write 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: ALPS07292593; Issue ID: ALPS07292593.

In pqframework, there is a possible out of bounds read due to a missing bounds check. This could lead to local information disclosure with System execution privileges needed. User interaction is not needed for exploitation. Patch ID: ALPS07629583; Issue ID: ALPS07629583.

In retrieveServiceLocked of ActiveServices.java, there is a possible way to dynamically register a BroadcastReceiver using permissions of System App 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.Product: AndroidVersions: Android-11 Android-12 Android-12L Android-13Android ID: A-242040055

In ril, there is a possible out of bounds write 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: ALPS07628588; Issue ID: ALPS07628588.

In getConfirmationMessage of DefaultAutofillPicker.java, there is a possible way to mislead the user to select default autofill application 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.Product: AndroidVersions: Android-13Android ID: A-216117246

In ril, there is a possible out of bounds read due to a missing bounds check. This could lead to local information disclosure with System execution privileges needed. User interaction is not needed for exploitation. Patch ID: ALPS07628609; Issue ID: ALPS07628609.

In onCreate of NotificationAccessSettings.java, there is a possible failure to persist notifications settings 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.Product: AndroidVersions: Android-11 Android-12 Android-12L Android-13Android ID: A-260570119

In apu, there is a possible out of bounds write 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: ALPS07629577; Issue ID: ALPS07629577.

In apu, there is a possible out of bounds read 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: ALPS07767826; Issue ID: ALPS07767826.

In ril, there is a possible out of bounds read due to a missing bounds check. This could lead to local information disclosure with System execution privileges needed. User interaction is not needed for exploitation. Patch ID: ALPS07628612; Issue ID: ALPS07628612.

In onNullBinding of CallRedirectionProcessor.java, there is a possible long lived connection due to improper input validation. This could lead to local escalation of privilege and background activity launches with User execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android-11 Android-12 Android-12L Android-13Android ID: A-273260090

In ril, there is a possible out of bounds write 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: ALPS07628537; Issue ID: ALPS07628537.

In Messaging, there is a possible way to disable the messaging application due to improper input validation. This could lead to remote denial of service with no additional execution privileges needed. User interaction is not needed for exploitation.

In ril, there is a possible out of bounds read due to a missing bounds check. This could lead to local information disclosure with System execution privileges needed. User interaction is not needed for exploitation. Patch ID: ALPS07628536; Issue ID: ALPS07628536.

In apu, there is a possible out of bounds read 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: ALPS07767870; Issue ID: ALPS07767870.

In multiple functions of DevicePolicyManager.java, there is a possible way to prevent enabling the Find my Device feature due to improper input validation. This could lead to local denial of service with User execution privileges needed. User interaction is not needed for exploitation.

In tinysys, there is a possible out of bounds write 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: ALPS07664755; Issue ID: ALPS07664755.

In msdc, there is a possible out of bounds write due to an incorrect bounds check. This could lead to local escalation of privilege with System execution privileges needed. User interaction is not needed for exploitation. Patch ID: ALPS07405223; Issue ID: ALPS07405223.

In onCreate of ConfirmDialog.java, there is a possible way to connect to VNP bypassing user's consent due to improper input validation. This could lead to local escalation of privilege with User execution privileges needed. User interaction is needed for exploitation.

In launchDeepLinkIntentToRight of SettingsHomepageActivity.java, there is a possible way to launch arbitrary activities due to improper input validation. This could lead to local escalation of privilege with User execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android-12L Android-13Android ID: A-250589026

In ril, there is a possible out of bounds write 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: ALPS07629571; Issue ID: ALPS07629571.

TensorFlow is an open source platform for machine learning. If `SparseBincount` is given inputs for `indices`, `values`, and `dense_shape` that do not make a valid sparse tensor, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 40adbe4dd15b582b0210dfbf40c243a62f5119fa. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.

In all Qualcomm products with Android releases from CAF using the Linux kernel, when an access point sends a challenge text greater than 128 bytes, the host driver is unable to validate this potentially leading to authentication failure.

Insufficient data validation in Permission Prompts in Google Chrome prior to 117.0.5938.62 allowed an attacker who convinced a user to install a malicious app to potentially perform a sandbox escape via a malicious file. (Chromium security severity: Medium)

In all android releases (Android for MSM, Firefox OS for MSM, QRD Android) from CAF using the linux kernel, WLAN handler indication from the firmware gets the information for 4 access categories. While processing this information only the first 3 AC information is copied due to the improper conditional logic used to compare with the max number of categories.

Insufficient validation of untrusted input in QUIC in Google Chrome prior to 97.0.4692.71 allowed a remote attacker to perform header splitting via malicious network traffic. (Chromium security severity: Low)

In Android for MSM, Firefox OS for MSM, QRD Android, with all Android releases from CAF using the Linux kernel, in the function wma_ndp_end_indication_event_handler(), there is no input validation check on a event_info value coming from firmware, which can cause an integer overflow and then leads to potential heap overwrite.

Insufficient Policy Enforcement in Extensions in Google Chrome prior to 62.0.3202.62 allowed a remote attacker to perform domain spoofing in permission dialogs via IDN homographs in a crafted Chrome Extension.

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

TensorFlow is an open source platform for machine learning. If `RaggedBincount` is given an empty input tensor `splits`, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 7a4591fd4f065f4fa903593bc39b2f79530a74b8. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.

In the function msm_pcm_hw_params() in Android for MSM, Firefox OS for MSM, and QRD Android before 2017-09-19, the return value of q6asm_open_shared_io() is not checked properly potentially leading to a possible dangling pointer access.

In Android for MSM, Firefox OS for MSM, QRD Android, with all Android releases from CAF using the Linux kernel, a count value that is read from a file is not properly validated.

TensorFlow is an open source platform for machine learning. If `QuantizedAvgPool` is given `min_input` or `max_input` tensors of a nonzero rank, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 7cdf9d4d2083b739ec81cfdace546b0c99f50622. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.

Incorrect handling of back navigations in error pages in Navigation in Google Chrome prior to 63.0.3239.84 allowed a remote attacker to spoof the contents of the Omnibox (URL bar) via a crafted HTML page.

An insufficient watchdog timer in navigation in Google Chrome prior to 62.0.3202.62 allowed a remote attacker to spoof the contents of the Omnibox (URL bar) via a crafted HTML page.

Insufficient Policy Enforcement in Omnibox in Google Chrome prior to 62.0.3202.62 allowed a remote attacker to perform domain spoofing via IDN homographs in a crafted domain name.

In Android for MSM, Firefox OS for MSM, QRD Android, with all Android releases from CAF using the Linux kernel, a length variable which is used to copy data has a size of only 8 bits and can be exceeded resulting in a denial of service.

Insufficient data validation in V8 in Google Chrome prior to 62.0.3202.62 allowed an attacker who can write to the Windows Registry to potentially exploit heap corruption via a crafted Windows Registry entry, related to PlatformIntegration.

Insufficient policy enforcement in Omnibox in Google Chrome prior to 63.0.3239.84 allowed a remote attacker to perform domain spoofing via IDN homographs in a crafted domain name.

TensorFlow is an open source platform for machine learning. If `QuantizedInstanceNorm` is given `x_min` or `x_max` tensors of a nonzero rank, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 785d67a78a1d533759fcd2f5e8d6ef778de849e0. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.

Using an ID that can be controlled by a compromised renderer which allows any frame to overwrite the page_state of any other frame in the same process in Navigation in Google Chrome on Chrome OS prior to 62.0.3202.74 allowed a remote attacker who had compromised the renderer process to potentially perform a sandbox escape via a crafted HTML page.

In trusty_ffa_mem_reclaim of shared-mem-smcall.c, there is a possible privilege escalation 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.Product: AndroidVersions: Android kernelAndroid ID: A-237838301References: N/A

Insufficient policy enforcement in Omnibox in Google Chrome prior to 63.0.3239.84 allowed a remote attacker to perform domain spoofing via IDN homographs in a crafted domain name.

Incorrect implementation in Blink in Google Chrome prior to 62.0.3202.62 allowed a remote attacker to spoof the contents of the Omnibox (URL bar) via a crafted HTML page.

TensorFlow is an open source platform for machine learning. If `QuantizedRelu` or `QuantizedRelu6` are given nonscalar inputs for `min_features` or `max_features`, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 49b3824d83af706df0ad07e4e677d88659756d89. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.

Inappropriate implementation in Downloads in Google Chrome on Windows prior to 144.0.7559.59 allowed a remote attacker to bypass dangerous file type protections via a malicious file. (Chromium security severity: Medium)

TensorFlow is an end-to-end open source platform for machine learning. In affected versions due to incomplete validation in MKL implementation of requantization, an attacker can trigger undefined behavior via binding a reference to a null pointer or can access data outside the bounds of heap allocated arrays. The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/mkl/mkl_requantization_range_per_channel_op.cc) does not validate the dimensions of the `input` tensor. A similar issue occurs in `MklRequantizePerChannelOp`. The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/mkl/mkl_requantize_per_channel_op.cc) does not perform full validation for all the input arguments. We have patched the issue in GitHub commit 9e62869465573cb2d9b5053f1fa02a81fce21d69 and in the Github commit 203214568f5bc237603dbab6e1fd389f1572f5c9. 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.

A denial of service vulnerability in the Android media framework (libmpeg2). Product: Android. Versions: 6.0, 6.0.1, 7.0, 7.1.1, 7.1.2, 8.0. Android ID A-65717533.

TensorFlow is an open source platform for machine learning. If `ThreadUnsafeUnigramCandidateSampler` is given input `filterbank_channel_count` greater than the allowed max size, TensorFlow will crash. We have patched the issue in GitHub commit 39ec7eaf1428e90c37787e5b3fbd68ebd3c48860. 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.

TensorFlow is an open source platform for machine learning. An input `token` that is not a UTF-8 bytestring will trigger a `CHECK` fail in `tf.raw_ops.PyFunc`. We have patched the issue in GitHub commit 9f03a9d3bafe902c1e6beb105b2f24172f238645. 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.