Insufficient policy enforcement in Extensions API in Google Chrome prior to 67.0.3396.62 allowed an attacker who convinced a user to install a malicious extension to bypass navigation restrictions via a crafted Chrome Extension.

Parsing documents as HTML in Downloads in Google Chrome prior to 66.0.3359.117 allowed a remote attacker to cause Chrome to execute scripts via a local non-HTML page.

Insufficient target checks on the chrome.debugger API in DevTools in Google Chrome prior to 67.0.3396.62 allowed an attacker who convinced a user to install a malicious extension to execute arbitrary code via a crafted Chrome Extension.

Insufficient policy enforcement in Catalog Service in Google Chrome prior to 64.0.3282.119 allowed a remote attacker to potentially run arbitrary code outside sandbox via a crafted HTML page.

Implicit Intent hijacking vulnerability in AppLinker prior to SMR Jul-2022 Release 1 allow allows attackers to launch certain activities with privilege of AppLinker.

Insufficient data validation in V8 in Google Chrome prior to 64.0.3282.119 allowed a remote attacker to potentially leak user data via a crafted HTML page.

Insufficient data validation in DevTools in Google Chrome prior to 64.0.3282.119 allowed a remote attacker to potentially leak user cross-origin data via a crafted Chrome Extension.

A lack of CORS checks, after a Service Worker redirected to a cross-origin PDF, in Service Worker in Google Chrome prior to 66.0.3359.117 allowed a remote attacker to leak limited cross-origin data via a crafted HTML page.

Insufficient validation of input in Blink in Google Chrome prior to 66.0.3359.170 allowed a remote attacker to perform privilege escalation via a crafted HTML page.

An iterator-invalidation bug in PDFium in Google Chrome prior to 66.0.3359.117 allowed a remote attacker to execute arbitrary code inside a sandbox via a crafted PDF file.

Lack of timeout on extension install prompt in Extensions in Google Chrome prior to 68.0.3440.75 allowed a remote attacker to trigger installation of an unwanted extension via a crafted HTML page.

In multiple locations, there is a possible permanent denial of service 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.

Insufficient policy enforcement in Blink in Google Chrome prior to 64.0.3282.119 allowed a remote attacker to potentially leak user cross-origin data via a crafted HTML page.

Insufficient data validation in External Protocol Handler in Google Chrome prior to 64.0.3282.119 allowed a remote attacker to potentially execute arbitrary programs on user machine via a crafted HTML page.

JavaScript alert handling in Prompts in Google Chrome prior to 68.0.3440.75 allowed a remote attacker to spoof the contents of the Omnibox (URL bar) via a crafted HTML page.

Incorrect enforcement of CSP for <object> tags in Blink in Google Chrome prior to 66.0.3359.117 allowed a remote attacker to bypass content security policy via a crafted HTML page.

Improper input validation check logic vulnerability in libsmkvextractor prior to SMR Jun-2022 Release 1 allows attackers to trigger crash.

Insufficient data validation in Downloads in Google Chrome prior to 64.0.3282.119 allowed a remote attacker to potentially run arbitrary code outside sandbox via a crafted Chrome Extension.

Incorrect security UI in Omnibox in Google Chrome prior to 64.0.3282.119 allowed a remote attacker to spoof the contents of the Omnibox (URL bar) via a crafted HTML page.

Improper input validation check logic vulnerability in SECRIL prior to SMR Jun-2022 Release 1 allows attackers to trigger crash.

In multiple functions of AppOpsService.java, there is a possible add a large amount of app ops 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 multiple locations, there is a possible bypass of user profile boundary with a forwarded intent 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.

A spoofing vulnerability can occur when a malicious site with an extremely long domain name is opened in an Android Custom Tab (a browser panel inside another app) and the default browser is Firefox for Android. This could allow an attacker to spoof which page is actually loaded and in use. Note: this issue only affects Firefox for Android. Other versions and operating systems are unaffected. This vulnerability affects Firefox < 59.

Insufficiently sanitized distributed objects in Updater in Google Chrome on macOS prior to 66.0.3359.117 allowed a local attacker to execute arbitrary code via an executable file.

Incorrect security UI in navigation in Google Chrome prior to 64.0.3282.119 allowed a remote attacker to spoof the contents of the Omnibox (URL bar) via a crafted HTML page.

Unprotected component vulnerability in DeviceSearchTrampoline in SecSettingsIntelligence prior to SMR Jun-2022 Release 1 allows local attackers to launch activities of SecSettingsIntelligence.

In multiple methods of NotificationChannel.java, there is a possible desynchronization from persistence 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.

Implicit Intent hijacking vulnerability in Finder prior to SMR Jul-2022 Release 1 allow allows attackers to launch certain activities with privilege of Finder.

Insufficient policy enforcement in Blink in Google Chrome prior to 68.0.3440.75 allowed a remote attacker to bypass same origin policy via a crafted HTML page.

Object lifecycle issue in Chrome Custom Tab in Google Chrome prior to 65.0.3325.146 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. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.raw_ops.TensorSummaryV2` does not fully validate the input arguments. This results in a `CHECK`-failure which can be used to trigger a denial of service attack. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, multiple TensorFlow operations misbehave in eager mode when the resource handle provided to them is invalid. In graph mode, it would have been impossible to perform these API calls, but migration to TF 2.x eager mode opened up this vulnerability. If the resource handle is empty, then a reference is bound to a null pointer inside TensorFlow codebase (various codepaths). This is undefined behavior. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.raw_ops.LSTMBlockCell` does not fully validate the input arguments. This results in a `CHECK`-failure which can be used to trigger a denial of service attack. The code does not validate the ranks of any of the arguments to this API call. This results in `CHECK`-failures when the elements of the tensor are accessed. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.raw_ops.SparseTensorToCSRSparseMatrix` does not fully validate the input arguments. This results in a `CHECK`-failure which can be used to trigger a denial of service attack. The code assumes `dense_shape` is a vector and `indices` is a matrix (as part of requirements for sparse tensors) but there is no validation for this. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.raw_ops.UnsortedSegmentJoin` does not fully validate the input arguments. This results in a `CHECK`-failure which can be used to trigger a denial of service attack. The code assumes `num_segments` is a scalar but there is no validation for this before accessing its value. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.raw_ops.QuantizeAndDequantizeV4Grad` does not fully validate the input arguments. This results in a `CHECK`-failure which can be used to trigger a denial of service attack. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.raw_ops.Conv3DBackpropFilterV2` does not fully validate the input arguments. This results in a `CHECK`-failure which can be used to trigger a denial of service attack. The code does not validate that the `filter_sizes` argument is a vector. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.raw_ops.SparseTensorDenseAdd` does not fully validate the input arguments. In this case, a reference gets bound to a `nullptr` during kernel execution. This is undefined behavior. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the `tf.compat.v1.signal.rfft2d` and `tf.compat.v1.signal.rfft3d` lack input validation and under certain condition can result in crashes (due to `CHECK`-failures). Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.raw_ops.LoadAndRemapMatrix does not fully validate the input arguments. This results in a `CHECK`-failure which can be used to trigger a denial of service attack. The code assumes `initializing_values` is a vector but there is no validation for this before accessing its value. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.raw_ops.StagePeek` does not fully validate the input arguments. This results in a `CHECK`-failure which can be used to trigger a denial of service attack. The code assumes `index` is a scalar but there is no validation for this before accessing its value. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.

Insufficient validation of untrusted input in Input in Google Chrome on prior to 148.0.7778.179 allowed a remote attacker who had compromised the renderer process to leak cross-origin data via a crafted HTML page. (Chromium security severity: Medium)

Buffer overflow can occur due to improper input validation in multiple WMA event handler functions in all Android releases from CAF (Android for MSM, Firefox OS for MSM, QRD Android) using the Linux Kernel.

In all android releases (Android for MSM, Firefox OS for MSM, QRD Android) from CAF using the linux kernel, userspace can request ION cache maintenance on a secure ION buffer for which the ION_FLAG_SECURE ion flag is not set and cause the kernel to attempt to perform cache maintenance on memory which does not belong to HLOS.

Insufficient validation of untrusted input in OptimizationGuide in Google Chrome prior to 148.0.7778.216 allowed a remote attacker who had compromised the renderer process to perform UI spoofing via a crafted HTML page. (Chromium security severity: High)

Insufficient validation of untrusted input in GPU in Google Chrome prior to 148.0.7778.168 allowed a remote attacker who had compromised the renderer process to perform a denial of service via a crafted HTML page. (Chromium security severity: High)

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.raw_ops.DeleteSessionTensor` does not fully validate the input arguments. This results in a `CHECK`-failure which can be used to trigger a denial of service attack. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.ragged.constant` does not fully validate the input arguments. This results in a denial of service by consuming all available memory. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.

Insufficient validation of untrusted input in Media in Google Chrome on ChromeOS prior to 148.0.7778.216 allowed a remote attacker who had compromised the renderer process to obtain potentially sensitive information from process memory via a crafted HTML page. (Chromium security severity: High)

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.raw_ops.GetSessionTensor` does not fully validate the input arguments. This results in a `CHECK`-failure which can be used to trigger a denial of service attack. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.