Insufficient validation of untrusted input in Downloads in Google Chrome on Android prior to 140.0.7339.80 allowed a remote attacker to perform domain spoofing via a crafted HTML page. (Chromium security severity: Low)

Insufficient validation of untrusted input in Dialog in Google Chrome prior to 148.0.7778.96 allowed a remote attacker who had compromised the renderer process to perform UI spoofing via a crafted HTML page. (Chromium security severity: Low)

Insufficient validation of untrusted input in TabGroups in Google Chrome prior to 148.0.7778.96 allowed a remote attacker to perform UI spoofing via malicious network traffic. (Chromium security severity: Low)

Insufficient policy enforcement in WebApp in Google Chrome prior to 148.0.7778.96 allowed a remote attacker to perform UI spoofing via a crafted HTML page. (Chromium security severity: Low)

Incorrect security UI in Omnibox in Google Chrome on iOS prior to 147.0.7727.55 allowed a remote attacker to spoof the contents of the Omnibox (URL bar) via a crafted domain name. (Chromium security severity: Low)

Inappropriate implementation in Media in Google Chrome prior to 148.0.7778.96 allowed a remote attacker to perform UI spoofing via a crafted HTML page. (Chromium security severity: Low)

Inappropriate implementation in Permissions in Google Chrome prior to 140.0.7339.80 allowed a remote attacker to perform UI spoofing via a crafted HTML page. (Chromium security severity: Low)

Inappropriate implementation in Downloads in Google Chrome on Windows prior to 140.0.7339.80 allowed a remote attacker to bypass Mark of the Web via a crafted HTML page. (Chromium security severity: Low)

Incorrect security UI in Omnibox in Google Chrome on Android prior to 142.0.7444.59 allowed a remote attacker to perform UI spoofing via a crafted HTML page. (Chromium security severity: Medium)

Insufficient policy enforcement in DevTools in Google Chrome prior to 148.0.7778.96 allowed an attacker who convinced a user to install a malicious extension to perform UI spoofing via a crafted Chrome Extension. (Chromium security severity: Low)

Inappropriate implementation in DevTools in Google Chrome prior to 148.0.7778.96 allowed an attacker who convinced a user to install a malicious extension to perform UI spoofing via a crafted Chrome Extension. (Chromium security severity: Low)

Inappropriate implementation in Speech in Google Chrome prior to 148.0.7778.96 allowed a remote attacker to perform UI spoofing via a crafted HTML page. (Chromium security severity: Medium)

Inappropriate implementation in DevTools in Google Chrome prior to 143.0.7499.41 allowed an attacker who convinced a user to install a malicious extension to potentially perform a sandbox escape via a crafted Chrome Extension. (Chromium security severity: High)

Out of bounds read in WebUI Settings in Google Chrome prior to 89.0.4389.72 allowed a remote attacker to perform an out of bounds memory read via a crafted HTML page. (Chrome security severity: Low)

Safari on Apple iPhone before 2.0 and iPod touch before 2.0 misinterprets a menu button press as user confirmation for visiting a web site with a (1) self-signed or (2) invalid certificate, which makes it easier for remote attackers to spoof web sites.

Array index error in the xnu (Mach) kernel in Apple Mac OS X 10.5 before 10.5.7 allows local users to gain privileges or cause a denial of service (system shutdown) via unspecified vectors related to workqueues.

Improper input validation for some Intel Unison software may allow an authenticated user to potentially enable escalation of privilege via local access.

Integer overflow in the CFDataReplaceBytes function in the CFData API in CoreFoundation in Apple Mac OS X before 10.5.3 allows context-dependent attackers to execute arbitrary code or cause a denial of service (crash) via an invalid length argument, which triggers a heap-based buffer overflow.

Apple Mac OS X 10.5.2 allows user-assisted attackers to cause a denial of service (crash) via a crafted Universal Disc Format (UDF) disk image, which triggers a NULL pointer dereference.

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.

The Digital Photo Access Protocol (DPAP) server for iPhoto 4.0.3 allows remote attackers to cause a denial of service (crash) via a malformed dpap: URI, a different vulnerability than CVE-2008-0043.

This issue was addressed with improved checks. This issue is fixed in iOS 15.7.1 and iPadOS 15.7.1, macOS Ventura 13, watchOS 9.1, iOS 16.1 and iPadOS 16, macOS Monterey 12.6.1, macOS Big Sur 11.7.1. A user may be able to cause unexpected app termination or arbitrary code execution.

The Assets subsystem in Apple iOS before 8 and Apple TV before 7 allows man-in-the-middle attackers to spoof a device's update status via a crafted Last-Modified HTTP response header.

TensorFlow is an open source platform for machine learning. An input `encoded` that is not a valid `CompositeTensorVariant` tensor will trigger a segfault in `tf.raw_ops.CompositeTensorVariantToComponents`. We have patched the issue in GitHub commits bf594d08d377dc6a3354d9fdb494b32d45f91971 and 660ce5a89eb6766834bdc303d2ab3902aef99d3d. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

Apple Safari 3.2.3 does not properly implement the file: protocol handler, which allows remote attackers to read arbitrary files or cause a denial of service (launch of multiple Windows Explorer instances) via vectors involving an unspecified HTML tag, possibly a related issue to CVE-2009-1703.

Insufficient validation of untrusted input in Downloads in Google Chrome prior to 108.0.5359.71 allowed an attacker who convinced a user to install a malicious extension to bypass Downloads restrictions via a crafted HTML page. (Chromium security severity: Medium)

TensorFlow is an open source platform for machine learning. An input `sparse_matrix` that is not a matrix with a shape with rank 0 will trigger a `CHECK` fail in `tf.raw_ops.SparseMatrixNNZ`. We have patched the issue in GitHub commit f856d02e5322821aad155dad9b3acab1e9f5d693. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

Apple iPhone 1.1.1, with Bluetooth enabled, allows physically proximate attackers to cause a denial of service (application termination) and execute arbitrary code via crafted Service Discovery Protocol (SDP) packets, related to insufficient input validation.

TensorFlow is an open source platform for machine learning. When running on GPU, `tf.image.generate_bounding_box_proposals` receives a `scores` input that must be of rank 4 but is not checked. We have patched the issue in GitHub commit cf35502463a88ca7185a99daa7031df60b3c1c98. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

WebKit in Apple Safari 3 Beta before Update 3.0.3 does not properly recognize an unchecked "Enable Java" setting, which allows remote attackers to execute Java applets via a crafted web page.

Insufficient validation of untrusted input in Feedback in Google Chrome prior to 147.0.7727.138 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)

Memcpy parameter overlap in Google Snappy library 1.1.4, as used in Google TensorFlow before 1.7.1, could result in a crash or read from other parts of process memory.

Insufficient validation of untrusted input. in Compositing in Google Chrome prior to 147.0.7727.138 allowed a remote attacker who had compromised the renderer process to bypass site isolation via a crafted HTML page. (Chromium security severity: High)

Adobe Illustrator versions 26.4 (and earlier) and 25.4.7 (and earlier) are affected by an Improper Input Validation vulnerability that could result in arbitrary code execution in the context of the current user. Exploitation of this issue requires user interaction in that a victim must open a malicious file.

Insufficient validation of untrusted input in WebML in Google Chrome prior to 147.0.7727.55 allowed a remote attacker to perform an out of bounds memory write via a crafted HTML page. (Chromium security severity: Low)

Insufficient validation of untrusted input in ANGLE in Google Chrome on Mac prior to 147.0.7727.55 allowed a remote attacker to execute arbitrary code inside a sandbox via a crafted HTML page. (Chromium security severity: Medium)

Insufficient validation of untrusted input in Downloads in Google Chrome on Windows prior to 147.0.7727.55 allowed a remote attacker to bypass download restrictions via a crafted HTML page. (Chromium security severity: Medium)

Insufficient validation of untrusted input in WebSockets in Google Chrome prior to 147.0.7727.55 allowed a remote attacker who had compromised the renderer process to bypass same origin policy via a crafted HTML page. (Chromium security severity: Low)

Adobe Illustrator versions 26.4 (and earlier) and 25.4.7 (and earlier) are affected by an Improper Input Validation vulnerability that could result in arbitrary code execution in the context of the current user. Exploitation of this issue requires user interaction in that a victim must open a malicious file. requires user interaction in that a victim must open a malicious file.

Identity Services in Apple iOS before 6.1 does not properly handle validation failures of AppleID certificates, which might allow physically proximate attackers to bypass authentication by leveraging an incorrect assignment of an empty string value to an AppleID.

TensorFlow is an open source platform for machine learning. If `QuantizedInstanceNorm` is given `x_min` or `x_max` tensors of a nonzero rank, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 785d67a78a1d533759fcd2f5e8d6ef778de849e0. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.

TensorFlow is an open source platform for machine learning. If `QuantizedAvgPool` is given `min_input` or `max_input` tensors of a nonzero rank, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 7cdf9d4d2083b739ec81cfdace546b0c99f50622. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.

Improper restriction of broadcasting Intent in MouseNKeyHidDevice prior to SMR Oct-2022 Release 1 leaks MAC address of the connected Bluetooth device.

TensorFlow is an open source platform for machine learning. If `SparseBincount` is given inputs for `indices`, `values`, and `dense_shape` that do not make a valid sparse tensor, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 40adbe4dd15b582b0210dfbf40c243a62f5119fa. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.

Insufficient data validation in Navigation in Google Chrome prior to 145.0.7632.159 allowed a remote attacker to potentially perform a sandbox escape via a crafted HTML page. (Chromium security severity: High)

TensorFlow is an open source platform for machine learning. The implementation of `BlockLSTMGradV2` does not fully validate its inputs. This results in a a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 2a458fc4866505be27c62f81474ecb2b870498fa. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.

TensorFlow is an open source platform for machine learning. If `RaggedBincount` is given an empty input tensor `splits`, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 7a4591fd4f065f4fa903593bc39b2f79530a74b8. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.

TensorFlow is an open source platform for machine learning. If `QuantizedBiasAdd` is given `min_input`, `max_input`, `min_bias`, `max_bias` tensors of a nonzero rank, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 785d67a78a1d533759fcd2f5e8d6ef778de849e0. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.

TensorFlow is an open source platform for machine learning. If `Requantize` is given `input_min`, `input_max`, `requested_output_min`, `requested_output_max` tensors of a nonzero rank, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 785d67a78a1d533759fcd2f5e8d6ef778de849e0. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.

TensorFlow is an open source platform for machine learning. If `QuantizedMatMul` is given nonscalar input for: `min_a`, `max_a`, `min_b`, or `max_b` It gives a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit aca766ac7693bf29ed0df55ad6bfcc78f35e7f48. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.