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

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.

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

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 LSOItemData prior to SMR Jun-2022 Release 1 allows attackers to launch certain activities.

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

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

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

The CyanogenMod/ClockWorkMod/Koush Superuser package 1.0.2.1 for Android allows attackers to gain privileges via shell metacharacters in the -c option to /system/xbin/su.

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

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.

In newServiceInfoLocked of AutofillManagerServiceImpl.java, there is a possible way to hide an enabled Autofill service app in the Autofill service settings 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.

NVIDIA libnvomx contains a possible out of bounds write due to a improper input validation which could lead to local escalation of privilege. This issue is rated as high. Product: Android. Version: N/A. Android: A-66969318. Reference: N-CVE-2017-6281.

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 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.

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, 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.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 positive scalar but there is no validation. Since this value is used to allocate the output tensor, a negative value would result in a `CHECK`-failure (assertion failure), as per TFSA-2021-198. 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.

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.

Insufficient Policy Enforcement in Omnibox in Google Chrome prior to 60.0.3112.78 for Mac, Windows, Linux, and Android allowed a remote attacker to perform domain spoofing via IDN homographs in a crafted domain name.

Insufficient validation of untrusted input in PPAPI Plugins in Google Chrome prior to 60.0.3112.78 for Mac allowed a remote attacker to potentially gain privilege elevation 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.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.

Insufficient Policy Enforcement in Omnibox in Google Chrome prior to 59.0.3071.86 for Mac, Windows, and Linux, and 59.0.3071.92 for Android, 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. 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.

Insufficient validation of untrusted input in Skia in Google Chrome prior to 60.0.3112.78 for Linux allowed a remote attacker to perform an out of bounds memory read 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.

Inappropriate implementation of unload handler handling in permission prompts in Google Chrome prior to 60.0.3112.78 for Linux, Windows, and Mac allowed a remote attacker to display UI on a non attacker controlled tab 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.

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.

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 validation of untrusted input in PPAPI Plugins in Google Chrome prior to 60.0.3112.78 for Windows allowed a remote attacker to potentially perform a sandbox escape 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.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 `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.

Insufficient validation of untrusted input in V8 in Google Chrome prior to 59.0.3071.86 for Linux, Windows and Mac, and 59.0.3071.92 for Android allowed a remote attacker to perform an out of bounds memory read via a crafted HTML page.

Inappropriate implementation in Blink in Google Chrome prior to 59.0.3071.86 for Mac, Windows, and Linux, and 59.0.3071.92 for Android, allowed a remote attacker to display UI on a non attacker controlled tab via a crafted HTML page.

Insufficient Policy Enforcement in Omnibox in Google Chrome prior to 59.0.3071.104 for Mac allowed a remote attacker to perform domain spoofing via a crafted domain name.

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.

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.

Inappropriate implementation of the web payments API on blob: and data: schemes in Web Payments in Google Chrome prior to 60.0.3112.78 for Mac, Windows, Linux, and Android allowed a remote attacker to spoof the contents of the Omnibox via a crafted HTML page.

An insufficient watchdog timer in navigation in Google Chrome prior to 58.0.3029.81 for Linux, Windows, and Mac allowed a remote attacker to spoof the contents of the Omnibox (URL bar) via a crafted HTML page.

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

Improper boundary check in UWB firmware prior to SMR Apr-2022 Release 1 allows arbitrary memory write.

Improper input validation in DSP driver prior to SMR Apr-2022 Release 1 allows out-of-bounds write by integer overflow.

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

Insufficient Policy Enforcement in Omnibox in Google Chrome prior to 60.0.3112.78 for Mac, Windows, Linux, and Android allowed a remote attacker to perform domain spoofing via IDN homographs in a crafted domain name.

Insufficient Policy Enforcement in Omnibox in Google Chrome prior to 59.0.3071.115 for Mac allowed a remote attacker to perform domain spoofing via a crafted domain name containing a U+0620 character, aka Apple rdar problem 32458012.

Improper input validation vulnerability in parser_iloc and sheifd_find_itemIndexin fuctions of libsimba library prior to SMR Apr-2022 Release 1 allows out of bounds write by privileged attacker.