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

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.

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.

A possible stack-based buffer overflow vulnerability in Exynos CP Chipset prior to SMR Oct-2021 Release 1 allows arbitrary memory write and code execution.

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

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.

The Device Administrator code in Android before 4.4.1_r1 might allow attackers to spoof device administrators and consequently bypass MDM restrictions by leveraging failure to update the mAdminMap data structure.

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

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)

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.

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. 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. 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.

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.

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 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

Improper access control 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. 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. A malicious user can cause a use after free behavior when decoding PNG images. After `png::CommonFreeDecode(&decode)` gets called, the values of `decode.width` and `decode.height` are in an unspecified state. 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. 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.

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)

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.

An issue was discovered on Samsung mobile devices with N(7.x) software. An attacker can boot a device with root privileges because the bootloader for the Qualcomm MSM8998 chipset lacks an integrity check of the system image, aka the "SamFAIL" issue. The Samsung ID is SVE-2017-10465 (November 2017).

Tensorflow is an Open Source Machine Learning Framework. The implementation of `SparseTensorSliceDataset` has an undefined behavior: under certain condition it can be made to dereference a `nullptr` value. The 3 input arguments to `SparseTensorSliceDataset` represent a sparse tensor. However, there are some preconditions that these arguments must satisfy but these are not validated in the implementation. 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.

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

A possible heap-based buffer overflow vulnerability in Exynos CP Chipset prior to SMR Oct-2021 Release 1 allows arbitrary memory write and code execution.

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

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

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.

In Tensorflow version 2.3.0, the `SparseCountSparseOutput` and `RaggedCountSparseOutput` implementations don't validate that the `weights` tensor has the same shape as the data. The check exists for `DenseCountSparseOutput`, where both tensors are fully specified. In the sparse and ragged count weights are still accessed in parallel with the data. But, since there is no validation, a user passing fewer weights than the values for the tensors can generate a read from outside the bounds of the heap buffer allocated for the weights. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1.

In BnAudioPolicyService::onTransact of IAudioPolicyService.cpp, there is a possible information disclosure due to uninitialized data. This could lead to local information disclosure with no additional execution privileges needed. User interaction is not needed for exploitation.

In readSampleData of NuMediaExtractor.cpp, there is a possible out of bounds write due to uninitialized data. This could lead to remote code execution with no additional execution privileges needed. User interaction is needed for exploitation.Product: AndroidVersions: Android-11 Android-12 Android-12L Android-13Android ID: A-275418191

In BnCameraService::onTransact of CameraService.cpp, there is a possible information disclosure due to uninitialized data. This could lead to local information disclosure with no additional execution privileges needed. User interaction is not needed for exploitation.

In really_install_package of install.cpp, there is a possible free of arbitrary memory due to uninitialized data. 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 ID: A-35385357.

In BnAudioPolicyService::onTransact of AudioPolicyService.cpp, there is a possible information disclosure due to uninitialized data. This could lead to local information disclosure with no additional execution privileges needed. User interaction is not needed for exploitation.

In buildImageItemsIfPossible of ItemTable.cpp there is a possible out of bound read due to uninitialized data. This could lead to information disclosure with no additional execution privileges needed. User interaction is needed for exploitation.

In getIntentForIntentSender of ActivityManagerService.java, there is a possible way to access user metadata due to a pending intent. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation.

In BnAudioPolicyService::onTransact of AudioPolicyService.cpp, there is a possible information disclosure due to uninitialized data. This could lead to local information disclosure with no additional execution privileges needed. User interaction is not needed for exploitation.

In writeInplace of Parcel.cpp, there is a possible information leak across processes, using Binder, due to uninitialized data. This could lead to local information disclosure with no additional execution privileges needed. User interaction is not needed for exploitation.

In multiple locations of avrc, there is a possible leak of heap data due to uninitialized data. This could lead to remote information disclosure with no additional execution privileges needed. User interaction is not needed for exploitation.

In gatts_process_read_by_type_req of gatt_sr.c, there is a possible information disclosure due to uninitialized data. This could lead to remote information disclosure with no additional execution privileges needed. User interaction is not needed for exploitation.

In writeToParcel of CursorWindow.cpp, there is a possible information disclosure due to uninitialized data. This could lead to local information disclosure with no additional execution privileges needed. User interaction is not needed for exploitation.

In readVector of iCrypto.cpp, there is a possible invalid read due to uninitialized data. This could lead to local information disclosure from the DRM server 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-9.0 Android ID: A-79218474

Uninitialized data in WebRTC in Google Chrome prior to 67.0.3396.62 allowed a remote attacker to obtain potentially sensitive information from process memory via a crafted video file.

In HIDL, safe_union, and other C++ structs/unions being sent to application processes, there are uninitialized fields. This could lead to local information disclosure with no additional execution privileges needed. User interaction is not needed for exploitation. Product: Android. Versions: Android-8.0 Android-8.1 Android-9. Android ID: A-131356202

TensorFlow is an end-to-end open source platform for machine learning. Due to lack of validation in `tf.raw_ops.CTCBeamSearchDecoder`, an attacker can trigger denial of service via segmentation faults. The implementation(https://github.com/tensorflow/tensorflow/blob/a74768f8e4efbda4def9f16ee7e13cf3922ac5f7/tensorflow/core/kernels/ctc_decoder_ops.cc#L68-L79) fails to detect cases when the input tensor is empty and proceeds to read data from a null buffer. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.