In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the implementation of `SparseFillEmptyRowsGrad` uses a double indexing pattern. It is possible for `reverse_index_map(i)` to be an index outside of bounds of `grad_values`, thus resulting in a heap buffer overflow. The issue is patched in commit 390611e0d45c5793c7066110af37c8514e6a6c54, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.

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

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

Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would cause an integer overflow in `TfLiteIntArrayCreate`. The `TfLiteIntArrayGetSizeInBytes` returns an `int` instead of a `size_t. An attacker can control model inputs such that `computed_size` overflows the size of `int` datatype. 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.

Tensorflow is an Open Source Machine Learning Framework. The implementation of `AssignOp` can result in copying uninitialized data to a new tensor. This later results in undefined behavior. The implementation has a check that the left hand side of the assignment is initialized (to minimize number of allocations), but does not check that the right hand side is also initialized. 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.

In cellular modem firmware, there is a possible out of bounds read due to a missing bounds check. This could lead to remote code execution with LTE authentication needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android kernelAndroid ID: A-240462530References: N/A

In launchDeepLinkIntentToRight of SettingsHomepageActivity.java, there is a possible way to launch arbitrary activities due to improper input validation. This could lead to local escalation of privilege with User execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android-12L Android-13Android ID: A-250589026

protobuf allows remote authenticated attackers to cause a heap-based buffer overflow.

A Code Execution vulnerability exists in Android prior to 4.4.0 related to the addJavascriptInterface method and the accessibility and accessibilityTraversal objects, which could let a remote malicious user execute arbitrary code.

Tensorflow is an Open Source Machine Learning Framework. There is a typo in TensorFlow's `SpecializeType` which results in heap OOB read/write. Due to a typo, `arg` is initialized to the `i`th mutable argument in a loop where the loop index is `j`. Hence it is possible to assign to `arg` from outside the vector of arguments. Since this is a mutable proto value, it allows both read and write to outside of bounds data. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, and TensorFlow 2.6.3, as these are also affected and still in supported range.

Tensorflow is an Open Source Machine Learning Framework. The implementation of `Range` suffers from integer overflows. These can trigger undefined behavior or, in some scenarios, extremely large allocations. 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.

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.

In multiple locations, there is a possible way to launch an application from the background due to a precondition check failure. This could lead to remote escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation.

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.

Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would cause an integer overflow in embedding lookup operations. Both `embedding_size` and `lookup_size` are products of values provided by the user. Hence, a malicious user could trigger overflows in the multiplication. In certain scenarios, this can then result in heap OOB read/write. Users are advised to upgrade to a patched version.

Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would allow limited reads and writes outside of arrays in TFLite. This exploits missing validation in the conversion from sparse tensors to dense tensors. The fix is 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. Users are advised to upgrade as soon as possible.

Tensorflow is an Open Source Machine Learning Framework. Under certain scenarios, Grappler component of TensorFlow is vulnerable to an integer overflow during cost estimation for crop and resize. Since the cropping parameters are user controlled, a malicious person can trigger undefined behavior. 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.

Tensorflow is an Open Source Machine Learning Framework. The implementation of `SparseCountSparseOutput` is vulnerable to a heap overflow. 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.

Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for `Dequantize` is vulnerable to an integer overflow weakness. The `axis` argument can be `-1` (the default value for the optional argument) or any other positive value at most the number of dimensions of the input. Unfortunately, the upper bound is not checked, and, since the code computes `axis + 1`, an attacker can trigger an integer overflow. 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.

Tensorflow is an Open Source Machine Learning Framework. The implementation of `Dequantize` does not fully validate the value of `axis` and can result in heap OOB accesses. The `axis` argument can be `-1` (the default value for the optional argument) or any other positive value at most the number of dimensions of the input. Unfortunately, the upper bound is not checked and this results in reading past the end of the array containing the dimensions of the input tensor. 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.

In the Pixel cellular firmware, there is a possible out of bounds write due to a missing bounds check. This could lead to remote code execution with LTE authentication needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android kernelAndroid ID: A-238914868References: N/A

In getDefaultCBRPackageName of CellBroadcastHandler.java, there is a possible escalation of privilege due to a logic error in the code. This could lead to local denial of service with System execution privileges needed. User interaction is not needed for exploitation.

A privilege escalation vulnerability impacting the Google Exposure Notification Verification Server (versions prior to 0.23.1), allows an attacker who (1) has UserWrite permissions and (2) is using a carefully crafted request or malicious proxy, to create another user with higher privileges than their own. This occurs due to insufficient checks on the allowed set of permissions. The new user creation event would be captured in the Event Log.

Out-of-Bounds Read in netfilter/ipset in Linux Kernel ChromeOS [6.1, 5.15, 5.10, 5.4, 4.19] allows a local attacker with low privileges to trigger an out-of-bounds read, potentially leading to information disclosure

Access Control Vulnerability in Gerrit chromiumos project configuration in Google ChromeOS 16063.87.0 allows an attacker with a registered Gerrit account to inject malicious code into ChromeOS projects and potentially achieve Remote Code Execution and Denial of Service via editing trusted pipelines by insufficient access controls and misconfigurations in Gerrit's project.config.

In main of main.cpp, there is a possible way to bypass SELinux due to a logic error in the code. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation.

Insufficient data validation in V8 API in Google Chrome prior to 128.0.6613.84 allowed a remote attacker to potentially exploit heap corruption via a crafted Chrome Extension. (Chromium security severity: Medium)

Insufficient data validation in Updater in Google Chrome prior to 128.0.6537.0 allowed a remote attacker to perform privilege escalation via a malicious file. (Chromium security severity: Medium)

Elevation of privilege

Android before 2024-10-05 on Google Pixel devices allows privilege escalation in the ABL component, A-330537292.

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

In smp_process_secure_connection_oob_data of smp_act.cc, there is a possible way to bypass SMP authentication due to Incorrect implementation of a protocol. This could lead to remote escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation.

Heap buffer overflow in Codecs in Google Chrome prior to 145.0.7632.45 allowed a remote attacker to potentially exploit heap corruption via a crafted HTML page. (Chromium security severity: High)

In TensorFlow before 1.15, a heap buffer overflow in UnsortedSegmentSum can be produced when the Index template argument is int32. In this case data_size and num_segments fields are truncated from int64 to int32 and can produce negative numbers, resulting in accessing out of bounds heap memory. This is unlikely to be exploitable and was detected and fixed internally in TensorFlow 1.15 and 2.0.

Heap buffer overflow in libvpx in Google Chrome prior to 144.0.7559.132 allowed a remote attacker to potentially exploit heap corruption via a crafted HTML page. (Chromium security severity: High)

TensorFlow is an open source platform for machine learning. Attackers using Tensorflow prior to 2.12.0 or 2.11.1 can access heap memory which is not in the control of user, leading to a crash or remote code execution. The fix will be included in TensorFlow version 2.12.0 and will also cherrypick this commit on TensorFlow version 2.11.1.

Heap buffer overflow in UI in Google Chrome on Android prior to 86.0.4240.185 allowed a remote attacker who had compromised the renderer process to potentially perform a sandbox escape via a crafted HTML page.

Heap buffer overflow in ANGLE in Google Chrome prior to 123.0.6312.122 allowed a remote attacker to potentially exploit heap corruption via a crafted HTML page. (Chromium security severity: High)

In wlan driver, there is a possible missing bounds check. This could lead to local denial of service in wlan services.

In wlan driver, there is a possible missing bounds check. This could lead to local denial of service in wlan services.

In wlan driver, there is a possible missing bounds check. This could lead to local denial of service in wlan services.

In wlan driver, there is a possible missing bounds check. This could lead to local denial of service in wlan services.

In wlan driver, there is a possible missing params check. This could lead to local denial of service in wlan services.

A heap-based overflow vulnerability in ConstructDictionary function in libSDKRecognitionText.spensdk.samsung.so library prior to SMR Sep-2022 Release 1 allows attacker to cause memory access fault.

A heap-based overflow vulnerability in HWR::EngJudgeModel::Construct() in libSDKRecognitionText.spensdk.samsung.so library prior to SMR Sep-2022 Release 1 allows attacker to cause memory access fault.

A heap-based overflow vulnerability in makeContactAGIF in libagifencoder.quram.so library prior to SMR Oct-2022 Release 1 allows attacker to perform code execution.

In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the `data_splits` argument of `tf.raw_ops.StringNGrams` lacks validation. This allows a user to pass values that can cause heap overflow errors and even leak contents of memory In the linked code snippet, all the binary strings after `ee ff` are contents from the memory stack. Since these can contain return addresses, this data leak can be used to defeat ASLR. The issue is patched in commit 0462de5b544ed4731aa2fb23946ac22c01856b80, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.

A heap-based overflow vulnerability in GetCorrectDbLanguageTypeEsPKc() function in libSDKRecognitionText.spensdk.samsung.so library prior to SMR Sep-2022 Release 1 allows attacker to cause memory access fault.

A heap-based overflow vulnerability in prepareRecogLibrary function in libSDKRecognitionText.spensdk.samsung.so library prior to SMR Sep-2022 Release 1 allows attacker to cause memory access fault.

A heap-based overflow vulnerability in HWR::EngineCJK::Impl::Construct() in libSDKRecognitionText.spensdk.samsung.so library prior to SMR Sep-2022 Release 1 allows attacker to cause memory access fault.