TensorFlow is an open source platform for machine learning. When `mlir::tfg::GraphDefImporter::ConvertNodeDef` tries to convert NodeDefs without an op name, it crashes. We have patched the issue in GitHub commit a0f0b9a21c9270930457095092f558fbad4c03e5. 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. When `CollectiveGather` receives an scalar input `input`, it gives a `CHECK` fails that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit c1f491817dec39a26be3c574e86a88c30f3c4770. 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. In `core/kernels/list_kernels.cc's TensorListReserve`, `num_elements` is assumed to be a tensor of size 1. When a `num_elements` of more than 1 element is provided, then `tf.raw_ops.TensorListReserve` fails the `CHECK_EQ` in `CheckIsAlignedAndSingleElement`. We have patched the issue in GitHub commit b5f6fbfba76576202b72119897561e3bd4f179c7. 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 `LowerBound` or `UpperBound` is given an empty`sorted_inputs` input, it results in a `nullptr` dereference, leading to a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit bce3717eaef4f769019fd18e990464ca4a2efeea. 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.

Google Chrome before 28.0.1500.71 allows remote attackers to cause a denial of service (out-of-bounds read) via a crafted JPEG2000 image.

In bind of MediaControlPanel.java, there is a possible way to lock up the system UI using a malicious media file due to improper input validation. This could lead to remote denial of service with no additional execution privileges needed. User interaction is needed for exploitation.Product: AndroidVersions: Android-11Android ID: A-180518039

In getOffsetBeforeAfter of TextLine.java, there is a possible denial of service due to resource exhaustion. This could lead to remote denial of service with no additional execution privileges needed. User interaction is needed for exploitation.Product: AndroidVersions: Android-12Android ID: A-193849901

In getTitle of AccessPoint.java, there is a possible unhandled exception due to a missing null check. This could lead to remote denial of service if a proximal Wi-Fi AP provides invalid information with no additional execution privileges needed. User interaction is needed for exploitation.Product: AndroidVersions: Android-10 Android-11Android ID: A-199922685

A denial of service vulnerability in the Android media framework (libstagefright). Product: Android. Versions: 4.4.4, 5.0.2, 5.1.1, 6.0, 6.0.1, 7.0, 7.1.1, 7.1.2. Android ID: A-36389123.

TensorFlow is an open source platform for machine learning. `DenseBincount` assumes its input tensor `weights` to either have the same shape as its input tensor `input` or to be length-0. A different `weights` shape will trigger a `CHECK` fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit bf4c14353c2328636a18bfad1e151052c81d5f43. 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.

Google Chrome before 11.0.696.57 allows remote attackers to bypass the Same Origin Policy via vectors involving blobs.

Tensorflow is an Open Source Machine Learning Framework. TensorFlow is vulnerable to a heap OOB write in `Grappler`. The `set_output` function writes to an array at the specified index. Hence, this gives a malicious user a write primitive. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

Google Chrome before 11.0.696.57 does not properly handle mutation events, which allows remote attackers to cause a denial of service (node tree corruption) or possibly have unspecified other impact via unknown vectors.

Google Chrome before 11.0.696.57 does not properly handle PDF forms, which allows remote attackers to cause a denial of service or possibly have unspecified other impact via unknown vectors that lead to "stale pointers."

WebKit, as used in Google Chrome before 10.0.648.204 and Apple Safari before 5.0.6, does not properly handle node parentage, which allows remote attackers to cause a denial of service (DOM tree corruption), conduct cross-site scripting (XSS) attacks, or possibly have unspecified other impact via unknown vectors.

Google Chrome before 9.0.597.84 does not properly handle a missing key in an extension, which allows remote attackers to cause a denial of service (application crash) via a crafted extension.

Google Chrome before 11.0.696.57 does not ensure thread safety during handling of MIME data, which allows remote attackers to cause a denial of service or possibly have unspecified other impact via unknown vectors.

Google Chrome before 9.0.597.94 does not properly handle anonymous blocks, which allows remote attackers to cause a denial of service or possibly have unspecified other impact via unknown vectors that lead to a "stale pointer."

Improper input validation in Exynos baseband prior to SMR Feb-2022 Release 1 allows attackers to send arbitrary NAS signaling messages with fake base station.

Adobe Flash Player before 10.3.181.14 on Windows, Mac OS X, Linux, and Solaris and before 10.3.185.21 on Android allows remote attackers to execute arbitrary code or cause a denial of service (memory corruption) via crafted Flash content, as possibly exploited in the wild in May 2011 by a Microsoft Office document with an embedded .swf file.

Out of bounds memory access in Mojo in Google Chrome prior to 114.0.5735.90 allowed a remote attacker to potentially exploit heap corruption via a crafted HTML page. (Chromium security severity: High)

Google Chrome before 11.0.696.57 does not properly present file dialogs, which allows remote attackers to cause a denial of service or possibly have unspecified other impact via unknown vectors that lead to "dangling pointers."

Tensorflow is an Open Source Machine Learning Framework. The TFG dialect of TensorFlow (MLIR) makes several assumptions about the incoming `GraphDef` before converting it to the MLIR-based dialect. If an attacker changes the `SavedModel` format on disk to invalidate these assumptions and the `GraphDef` is then converted to MLIR-based IR then they can cause a crash in the Python interpreter. Under certain scenarios, heap OOB read/writes are possible. These issues have been discovered via fuzzing and it is possible that more weaknesses exist. We will patch them as they are discovered.

Google Chrome before 11.0.696.57 does not properly perform height calculations, which allows remote attackers to cause a denial of service or possibly have unspecified other impact via unknown vectors that lead to a "stale pointer."

PendingIntent hijacking vulnerability in CpaReceiver prior to SMR Feb-2022 Release 1 allows local attackers to access media files without permission in KnoxPrivacyNoticeReceiver via implicit Intent.

Google Chrome before 9.0.597.107 does not properly implement forms controls, which allows remote attackers to cause a denial of service (application crash) or possibly have unspecified other impact via unknown vectors.

Google Chrome before 11.0.696.57 does not properly handle floating objects, which allows remote attackers to cause a denial of service or possibly have unspecified other impact via unknown vectors that lead to a "stale pointer."

Google Chrome before 9.0.597.107 does not properly handle TEXTAREA elements, which allows remote attackers to cause a denial of service (application crash) or possibly have unspecified other impact via a crafted HTML document.

Adobe Flash Player before 10.3.181.14 on Windows, Mac OS X, Linux, and Solaris and before 10.3.185.21 on Android allows attackers to execute arbitrary code via unspecified vectors, related to a "bounds checking" issue, a different vulnerability than CVE-2011-0624, CVE-2011-0625, and CVE-2011-0626.

In DRM service, there is a possible out of bounds write due to a missing bounds check. This could lead to local denial of service with System execution privileges needed.

Google Chrome before 11.0.696.57 does not properly handle DOM id maps, which allows remote attackers to cause a denial of service or possibly have unspecified other impact via unknown vectors that lead to "dangling pointers."

Google Chrome before 9.0.597.107 does not properly implement key frame rules, which allows remote attackers to cause a denial of service or possibly have unspecified other impact via unknown vectors that lead to a "stale pointer."

Google Chrome before 9.0.597.94 does not properly perform event handling for animations, which allows remote attackers to cause a denial of service or possibly have unspecified other impact via unknown vectors that lead to a "stale pointer."

Google Chrome before 10.0.648.204 does not properly handle SVG text, which allows remote attackers to cause a denial of service or possibly have unspecified other impact via unknown vectors that lead to a "stale pointer."

Adobe Flash Player before 10.3.181.14 on Windows, Mac OS X, Linux, and Solaris and before 10.3.185.21 on Android allows attackers to execute arbitrary code via unspecified vectors, related to a "bounds checking" issue, a different vulnerability than CVE-2011-0623, CVE-2011-0625, and CVE-2011-0626.

Google Chrome before 10.0.648.127 on Linux does not properly handle parallel execution of calls to the print method, which might allow remote attackers to cause a denial of service (application crash) via crafted JavaScript code.

Heap-based buffer overflow in the GPU process in Google Chrome before 10.0.648.205 allows remote attackers to execute arbitrary code via unknown vectors.

Google Chrome before 10.0.648.204 does not properly handle Cascading Style Sheets (CSS) token sequences, which allows remote attackers to cause a denial of service or possibly have unspecified other impact via unknown vectors that lead to a "stale pointer."

In trusty service, there is a possible out of bounds write due to a missing bounds check. This could lead to local denial of service with System execution privileges needed

In trusty service, there is a possible out of bounds write due to a missing bounds check. This could lead to local denial of service with System execution privileges needed

Google Chrome before 11.0.696.57 on Linux does not properly interact with the X Window System, which allows remote attackers to cause a denial of service (application crash) via unspecified vectors.

Google Chrome before 9.0.597.107 does not properly process nodes in Cascading Style Sheets (CSS) stylesheets, which allows remote attackers to cause a denial of service or possibly have unspecified other impact via unknown vectors that lead to a "stale pointer."

Google Chrome before 10.0.648.127 does not properly perform table painting, which allows remote attackers to cause a denial of service or possibly have unspecified other impact via unknown vectors that lead to a "stale pointer."

Adobe Flash Player before 10.3.181.14 on Windows, Mac OS X, Linux, and Solaris and before 10.3.185.21 on Android allows attackers to execute arbitrary code via unspecified vectors, related to a "bounds checking" issue, a different vulnerability than CVE-2011-0623, CVE-2011-0624, and CVE-2011-0626.

Google Chrome before 11.0.696.57 does not properly handle drop-down lists, which allows remote attackers to cause a denial of service or possibly have unspecified other impact via unknown vectors that lead to a "stale pointer."

Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would cause a write outside of bounds of an array in TFLite. In fact, the attacker can override the linked list used by the memory allocator. This can be leveraged for an arbitrary write primitive under certain conditions. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

An issue was discovered on Samsung mobile devices with M(6.0) software. There is a heap-based buffer overflow in tlc_server. The Samsung IDs are SVE-2016-7220 and SVE-2016-7225 (November 2016).

Out of bounds write in Swiftshader in Google Chrome prior to 114.0.5735.90 allowed a remote attacker to potentially exploit heap corruption via a crafted HTML page. (Chromium security severity: High)

An issue was discovered on Samsung mobile devices with L(5.0/5.1) (with USB OTG MyFile2014_L_ESS support) software. There is a Factory Reset Protection (FRP) bypass. The Samsung ID is SVE-2015-5068 (June 2016).

An improper input validation in SMC_SRPMB_WSM handler of RPMB ldfw prior to SMR Feb-2022 Release 1 allows arbitrary memory write and code execution.