Improper validation vulnerability in LSOItemData prior to SMR Jun-2022 Release 1 allows attackers to launch certain activities.

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

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

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

Improper validation vulnerability in RemoteViews prior to SMR Jun-2022 Release 1 allows attackers to launch certain activities.

The stock Android browser address bar in all Android operating systems suffers from Address Bar Spoofing, which allows remote attackers to trick a victim by displaying a malicious page for legitimate domain names.

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

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

The Qualcomm hardware video codec in Android before 2016-05-01 on Nexus 5 devices allows remote attackers to cause a denial of service (reboot) via a crafted file, aka internal bug 26221024.

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.

libutils in Android through 5.1.1 LMY48M allows remote attackers to execute arbitrary code via crafted metadata in a (1) MP3 or (2) MP4 file, as demonstrated by an attack against use of libutils by libstagefright in Android 5.x.

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.

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.

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, certain TFLite models that were created using TFLite model converter would crash when loaded in the TFLite interpreter. The culprit is that during quantization the scale of values could be greater than 1 but code was always assuming sub-unit scaling. Thus, since code was calling `QuantizeMultiplierSmallerThanOneExp`, the `TFLITE_CHECK_LT` assertion would trigger and abort the process. 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.

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.

Insufficient file type enforcement in Extensions API in Google Chrome prior to 68.0.3440.75 allowed a remote attacker who had compromised the renderer process to perform privilege escalation via a crafted Chrome Extension.

Incomplete blacklist vulnerability in browser/download/download_exe.cc in Google Chrome before 3.0.195.32 allows remote attackers to force the download of certain dangerous files via a "Content-Disposition: attachment" designation, as demonstrated by (1) .mht and (2) .mhtml files, which are automatically executed by Internet Explorer 6; (3) .svg files, which are automatically executed by Safari; (4) .xml files; (5) .htt files; (6) .xsl files; (7) .xslt files; and (8) image files that are forbidden by the victim's site policy.

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.

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.

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.

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.

Improper validation of removing package name in Galaxy Themes prior to SMR May-2022 Release 1 allows attackers to uninstall arbitrary packages without permission. The patch adds proper validation logic for removing package name.

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.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.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.

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.

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.QuantizedConv2D` does not fully validate the input arguments. In this case, references get bound to `nullptr` for each argument that is empty. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.

Google Chrome 1.0.154.48 and earlier allows remote attackers to cause a denial of service (CPU consumption and application hang) via JavaScript code with a long string value for the hash property (aka location.hash), a related issue to CVE-2008-5715.

Insufficient data validation in Mojo in Google Chrome prior to 105.0.5195.102 allowed a remote attacker who had compromised the renderer process to potentially perform a sandbox escape via a crafted HTML page.

TensorFlow is an end-to-end open source platform for machine learning. Incomplete validation in `SparseReshape` results in a denial of service based on a `CHECK`-failure. The implementation(https://github.com/tensorflow/tensorflow/blob/e87b51ce05c3eb172065a6ea5f48415854223285/tensorflow/core/kernels/sparse_reshape_op.cc#L40) has no validation that the input arguments specify a valid sparse tensor. 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 the only affected versions.

android/java/src/org/chromium/chrome/browser/WebsiteSettingsPopup.java in Google Chrome before 43.0.2357.65 on Android does not properly restrict use of a URL's fragment identifier during construction of a page-info popup, which allows remote attackers to spoof the URL bar or deliver misleading popup content via crafted text.

The LocalFrame::isURLAllowed function in core/frame/LocalFrame.cpp in Blink, as used in Google Chrome before 44.0.2403.89, does not properly check for a page's maximum number of frames, which allows remote attackers to cause a denial of service (invalid count value and use-after-free) or possibly have unspecified other impact via crafted JavaScript code that makes many createElement calls for IFRAME elements.

SampleTable.cpp in libstagefright in mediaserver in Android 4.x before 4.4.4, 5.0.x before 5.0.2, 5.1.x before 5.1.1, and 6.x before 2016-06-01 allows remote attackers to cause a denial of service (device hang or reboot) via a crafted file, aka internal bug 28076789.

browser/renderer_host/database_dispatcher_host.cc in Google Chrome before 5.0.375.70 on Linux does not properly handle ViewHostMsg_DatabaseOpenFile messages in chroot-based sandboxing, which allows remote attackers to bypass intended sandbox restrictions via vectors involving fchdir and chdir calls.

bindings/core/v8/V8DOMWrapper.h in Blink, as used in Google Chrome before 45.0.2454.101, does not perform a rethrow action to propagate information about a cross-context exception, which allows remote attackers to bypass the Same Origin Policy via a crafted HTML document containing an IFRAME element.

Missing validation in Mojo in Google Chrome prior to 69.0.3497.81 allowed a remote attacker to potentially perform a sandbox escape via a crafted HTML page.

The PDF viewer in Google Chrome before 46.0.2490.86 does not properly restrict scripting messages and API exposure, which allows remote attackers to bypass the Same Origin Policy via an unintended embedder or unintended plugin loading, related to pdf.js and out_of_process_instance.cc.

Improper input validation in Settings prior to SMR-May-2022 Release 1 allows attackers to launch arbitrary activity with system privilege. The patch adds proper validation logic to check the caller.

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 Intents in Google Chrome on Android prior to 104.0.5112.101 allowed a remote attacker to arbitrarily browse to a malicious website 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.histogram_fixed_width` is vulnerable to a crash when the values array contain `Not a Number` (`NaN`) elements. The implementation assumes that all floating point operations are defined and then converts a floating point result to an integer index. If `values` contains `NaN` then the result of the division is still `NaN` and the cast to `int32` would result in a crash. This only occurs on the CPU implementation. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.

A missing input validation in HDCP LDFW prior to SMR Nov-2021 Release 1 allows attackers to overwrite TZASC allowing TEE compromise.

Improper validation vulnerability in SemSuspendDialogInfo prior to SMR Apr-2022 Release 1 allows attackers to launch certain activities.

An issue was discovered on Samsung mobile devices with M(6.0), N(7.x), and O(8.0) software. The Contacts application allows attackers to originate video calls because SS (Supplementary Service) and USSD (Unstructured Supplementary Service Data) codes are improperly secured. The Samsung ID is SVE-2018-11469 (April 2018).

In all Qualcomm products with Android releases from CAF using the Linux kernel, the validation of filesystem access was insufficient.

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.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.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.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.