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.

The ScopedClipboardWriter::WritePickledData function in ui/base/clipboard/scoped_clipboard_writer.cc in Google Chrome before 33.0.1750.152 on OS X and Linux and before 33.0.1750.154 on Windows does not verify a certain format value, which allows remote attackers to cause a denial of service or possibly have unspecified other impact via vectors related to the clipboard.

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.

In injectBestLocation and handleUpdateLocation of GnssLocationProvider.java, there is a possible incorrect reporting of location data to emergency services due to improper input validation. This could lead to incorrect reporting of location data to emergency services with User execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android-9 Android-10 Android-11Android ID: A-177561690

In memory management driver, 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. User interaction is not needed for exploitation. Patch ID: ALPS05403499; Issue ID: ALPS05336713.

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.

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

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

In attp_build_read_by_type_value_cmd of att_protocol.cc , there is a possible out of bounds write due to improper input validation. This could lead to remote code execution with no additional execution privileges needed. User interaction is not needed for exploitation.

DLL hijacking vulnerability in Kies prior to version 2.6.4.22014_2 allows attacker to execute abitrary code.

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

DLL hijacking vulnerability in Smart Switch PC prior to version 4.2.22022_4 allows attacker to execute abitrary code.

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.

In Android for MSM, Firefox OS for MSM, QRD Android, with all Android releases from CAF using the Linux kernel, an invalid input of firmware size (negative value) from user space can potentially lead to the memory leak or buffer overflow during the WLAN cal data store operation.

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

In smp_proc_sec_req of smp_act.cc, there is a possible out of bounds read due to improper input validation. This could lead to remote (proximal/adjacent) information disclosure with no additional execution privileges needed. User interaction is not needed for exploitation.

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

Insufficient validation of untrusted input in Internals in Google Chrome prior to 104.0.5112.79 allowed a remote attacker to bypass download restrictions via a malicious file .

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

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.

DLL hijacking vulnerability in KiesWrapper in Samsung Kies prior to version 2.6.4.22043_1 allows attacker to execute arbitrary code.

The UnescapeURLWithOffsetsImpl function in net/base/escape.cc in Google Chrome before 34.0.1847.116 does not properly handle bidirectional Internationalized Resource Identifiers (IRIs), which makes it easier for remote attackers to spoof URLs via crafted use of right-to-left (RTL) Unicode text.

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, 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.

In vsp driver, there is a possible missing verification incorrect input. This could lead to local denial of service with no additional execution privileges needed

The PointerCompare function in codegen.cc in Seccomp-BPF, as used in Google Chrome before 34.0.1847.131 on Windows and OS X and before 34.0.1847.132 on Linux, does not properly merge blocks, which might allow remote attackers to bypass intended sandbox restrictions by leveraging renderer access.

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 `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 File in Google Chrome on Android prior to 103.0.5060.134 allowed an attacker who convinced a user to install a malicious app to obtain potentially sensitive information from internal file directories via a crafted HTML page.

Improper input validation vulnerability in InstallAgent in Galaxy Store prior to version 4.5.41.8 allows attacker to overwrite files stored in a specific path. The patch adds proper protection to prevent overwrite to existing files.

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.

Insufficient validation of untrusted input in command line handling in Google Chrome on Windows prior to 85.0.4183.83 allowed a remote attacker to bypass navigation restrictions via a crafted HTML page.

Insufficient data validation in streams in Google Chrome prior to 80.0.3987.87 allowed a remote attacker to potentially exploit heap corruption via a crafted HTML page.

Insufficient validation of untrusted input in Omnibox in Google Chrome prior to 80.0.3987.87 allowed a remote attacker to perform domain spoofing via IDN homographs via a crafted domain name.

Improper access control vulnerability in Camera prior to versions 11.1.02.16 in Android R(11), 10.5.03.77 in Android Q(10) and 9.0.6.68 in Android P(9) allows untrusted applications to take a picture in screenlock status.

Insufficient validation of untrusted input in Omnibox in Google Chrome prior to 80.0.3987.87 allowed a remote attacker to perform domain spoofing via IDN homographs via a crafted domain name.

Insufficient data validation in media router in Google Chrome prior to 83.0.4103.61 allowed a remote attacker who had compromised the renderer process to bypass navigation restrictions via a crafted HTML page.

Out of bounds write in V8 in Google Chrome prior to 83.0.4103.106 allowed a remote attacker to potentially exploit heap corruption via a crafted HTML page.

Insufficient validation of untrusted input in Omnibox in Google Chrome prior to 80.0.3987.87 allowed a remote attacker to perform domain spoofing via IDN homographs via 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, 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.

Insufficient data validation in Omnibox in Google Chrome prior to 85.0.4183.83 allowed a remote attacker to perform domain spoofing via IDN homographs via a crafted domain name.

Insufficient policy enforcement in extensions in Google Chrome prior to 80.0.3987.149 allowed an attacker who convinced a user to install a malicious extension to bypass site isolation via a crafted Chrome Extension.

A spoofing vulnerability can occur when a page switches to fullscreen mode without user notification, allowing a fake address bar to be displayed. This allows an attacker to spoof which page is actually loaded and in use. Note: This attack only affects Firefox for Android. Other operating systems are not affected. This vulnerability affects Firefox < 56.

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

Insufficient policy enforcement in downloads in Google Chrome on OS X prior to 80.0.3987.87 allowed an attacker who convinced a user to install a malicious extension to execute arbitrary code via a crafted Chrome Extension.

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.

Improper sanitization of incoming intent in Dressroom prior to SMR Jan-2022 Release 1 allows local attackers to read and write arbitrary files without permission.