The Zoom Client for Meetings before version 5.7.3 (for Android, iOS, Linux, macOS, and Windows) contain a server side request forgery vulnerability in the chat\'s "link preview" functionality. In versions prior to 5.7.3, if a user were to enable the chat\'s "link preview" feature, a malicious actor could trick the user into potentially sending arbitrary HTTP GET requests to URLs that the actor cannot reach directly.

Adobe Experience Manager Forms JEE versions LTS SP1, 6.5.24.0 and earlier are affected by a reflected Cross-Site Scripting (XSS) vulnerability. An attacker could exploit this vulnerability to inject malicious scripts into a web page, potentially gaining elevated access or control over the victim's account or session. Exploit depends on conditions beyond the attacker's control. Exploitation of this issue requires user interaction in that a victim must visit a maliciously crafted URL or interact with a compromised web page. Scope is changed.

Inappropriate implementation in Views in Google Chrome on Linux prior to 149.0.7827.155 allowed a remote attacker who had compromised the renderer process to inject arbitrary scripts or HTML (UXSS) via a crafted HTML page. (Chromium security severity: High)

TensorFlow is an end-to-end open source platform for machine learning. In affected versions due to incomplete validation in `tf.raw_ops.QuantizeV2`, 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/84d053187cb80d975ef2b9684d4b61981bca0c41/tensorflow/core/kernels/quantize_op.cc#L59) has some validation but does not check that `min_range` and `max_range` both have the same non-zero number of elements. If `axis` is provided (i.e., not `-1`), then validation should check that it is a value in range for the rank of `input` tensor and then the lengths of `min_range` and `max_range` inputs match the `axis` dimension of the `input` tensor. We have patched the issue in GitHub commit 6da6620efad397c85493b8f8667b821403516708. 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.

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

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the shape inference code for `tf.raw_ops.Dequantize` has a vulnerability that could trigger a denial of service via a segfault if an attacker provides invalid arguments. The shape inference [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/ops/array_ops.cc#L2999-L3014) uses `axis` to select between two different values for `minmax_rank` which is then used to retrieve tensor dimensions. However, code assumes that `axis` can be either `-1` or a value greater than `-1`, with no validation for the other values. We have patched the issue in GitHub commit da857cfa0fde8f79ad0afdbc94e88b5d4bbec764. 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.

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.

Insufficient validation of untrusted input Downloads in Google Chrome prior to 95.0.4638.54 allowed a remote attacker to bypass navigation restrictions via a malicious file.

In all Qualcomm products with Android releases from CAF using the Linux kernel, arguments to several QTEE syscalls are not properly validated.

Google Talk before 1.0.0.76, with email notification enabled, allows remote attackers to cause a denial of service (connection reset) via email with a blank sender.

In Parcel.writeMapInternal of Parcel.java, there is a possible parcel serialization/deserialization mismatch 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: Android. Versions: Android-7.0 Android-7.1.1 Android-7.1.2 Android-8.0 Android-8.1 Android-9. Android ID: A-112859604

An issue was discovered in certain Apple products. macOS before 10.13.1 is affected. The issue involves the "AppleScript" component. It allows remote attackers to execute arbitrary code via a crafted AppleScript file that is mishandled by osadecompile.

Insufficient validation of untrusted input in Downloads in Google Chrome on Windows prior to 109.0.5414.74 allowed a remote attacker to bypass download restrictions via a crafted HTML page. (Chromium security severity: Low)

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)

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.

AppKit in Mac OS X 10.3.9 allows attackers to cause a denial of service (Cocoa application crash) via a malformed TIFF image that causes the NXSeek to use an incorrect offset, leading to an unhandled exception.

Insufficient validation of untrusted input in Skia in Google Chrome prior to 148.0.7778.168 allowed a remote attacker who had compromised the renderer process to perform an out of bounds memory write via a crafted print file. (Chromium security severity: Medium)

In onCreate of CompanionDeviceActivity.java or DeviceChooserActivity.java, there is a possible way for HTML tags to interfere with a consent dialog due to improper input validation. This could lead to remote escalation of privilege, confusing the user into accepting pairing of a malicious Bluetooth device, with no additional execution privileges needed. User interaction is needed for exploitation.Product: AndroidVersions: Android-10 Android-11 Android-12 Android-9Android ID: A-172251622

Insufficient validation of untrusted input in WebGL in Google Chrome prior to 148.0.7778.216 allowed a remote attacker who had compromised the renderer process to potentially perform a sandbox escape via a crafted HTML page. (Chromium security severity: Critical)

NVIDIA Tegra OpenMax driver (libnvomx) contains a vulnerability in which the software does not validate or incorrectly validates input that can affect the control flow or data flow of a program, which may lead to denial of service or escalation of privileges. Android ID: A-70857947.

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can trigger a denial of service via a segmentation fault in `tf.raw_ops.MaxPoolGrad` caused by missing validation. The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/maxpooling_op.cc) misses some validation for the `orig_input` and `orig_output` tensors. The fixes for CVE-2021-29579 were incomplete. We have patched the issue in GitHub commit 136b51f10903e044308cf77117c0ed9871350475. 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.

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.

TensorFlow is an end-to-end open source platform for machine learning. In affected versions under certain conditions, Go code can trigger a segfault in string deallocation. For string tensors, `C.TF_TString_Dealloc` is called during garbage collection within a finalizer function. However, tensor structure isn't checked until encoding to avoid a performance penalty. The current method for dealloc assumes that encoding succeeded, but segfaults when a string tensor is garbage collected whose encoding failed (e.g., due to mismatched dimensions). To fix this, the call to set the finalizer function is deferred until `NewTensor` returns and, if encoding failed for a string tensor, deallocs are determined based on bytes written. We have patched the issue in GitHub commit 8721ba96e5760c229217b594f6d2ba332beedf22. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, which is the other affected version.

Inappropriate implementation in input in Google Chrome prior to 96.0.4664.45 allowed an attacker who convinced a user to install a malicious extension to bypass navigation restrictions via a crafted Chrome Extension.

An issue was discovered in certain Apple products. macOS before 10.13.1 is affected. The issue involves the "Audio" component. It allows remote attackers to execute arbitrary code or cause a denial of service (memory consumption) via a crafted QuickTime file.

Insufficient validation of untrusted input in UI in Google Chrome on Mac prior to 148.0.7778.216 allowed a remote attacker who had compromised the renderer process to potentially perform a sandbox escape via a crafted HTML page. (Chromium security severity: Critical)

The content view client in Google Chrome prior to 54.0.2840.85 for Android insufficiently validated intent URLs, which allowed a remote attacker who had compromised the renderer process to start arbitrary activity on the system via a crafted HTML page.

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)

Insufficient data validation in DevTools in Google Chrome prior to 106.0.5249.62 allowed a remote attacker to bypass content security policy via a crafted HTML page. (Chromium security severity: Low)

Insufficient validation of untrusted input in WebShare in Google Chrome on Android prior to 148.0.7778.216 allowed a remote attacker who had compromised the renderer process to potentially perform a sandbox escape via a crafted HTML page. (Chromium security severity: High)

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)

A validation issue was addressed with improved input sanitization. This issue affected versions prior to iOS 12.

Insufficient validation of untrusted input in iOS in Google Chrome on iOS prior to 148.0.7778.216 allowed a remote attacker who had compromised the renderer process to bypass same origin policy via a crafted HTML page. (Chromium security severity: High)

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

A configuration issue was addressed with additional restrictions. This issue affected versions prior to macOS Mojave 10.14.1.

mp3dec/SoftMP3.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 does not validate the relationship between allocated memory and the frame size, which allows attackers to gain privileges via a crafted application, as demonstrated by obtaining Signature or SignatureOrSystem access, aka internal bug 27793371.

Insufficient validation of untrusted input in GPU in Google Chrome on Android prior to 148.0.7778.216 allowed a remote attacker who had compromised the renderer process to potentially perform a sandbox escape via a crafted HTML page. (Chromium security severity: High)

Analytics data was sent using HTTP rather than HTTPS. This was addressed by sending analytics data using HTTPS. This issue affected versions prior to Apple Support 2.4 for iOS.

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

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

An inconsistent user interface issue was addressed with improved state management. This issue affected versions prior to iOS 11.4.1, Safari 11.1.2.

Insufficient validation of untrusted input in Intents in Google Chrome on Android prior to 95.0.4638.69 allowed a remote attacker to arbitrarily browser to a malicious URL via a crafted HTML page.

A validation issue was addressed with improved input sanitization. This issue affected versions prior to macOS Mojave 10.14.

The issue was addressed with improved bounds checks. This issue is fixed in iOS 16.2 and iPadOS 16.2, macOS Ventura 13.1, tvOS 16.2. Connecting to a malicious NFS server may lead to arbitrary code execution with kernel privileges.

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can trigger a denial of service via a `CHECK`-fail in `tf.raw_ops.MapStage`. The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/map_stage_op.cc#L513) does not check that the `key` input is a valid non-empty tensor. We have patched the issue in GitHub commit d7de67733925de196ec8863a33445b73f9562d1d. 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.

An issue was discovered in certain Apple products. Safari before 11.1.1 is affected. The issue involves the "Safari" component. It allows remote attackers to spoof the address bar via a crafted web site.

In vdsp device, there is a possible system crash due to improper input validation.This could lead to local denial of service with System execution privileges needed

ImageIO in Apple Mac OS X 10.5.8 and 10.6.x before 10.6.5 allows remote attackers to execute arbitrary code or cause a denial of service (memory corruption and application crash) via a crafted PSD image.

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

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)