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.

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.

In Android for MSM, Firefox OS for MSM, QRD Android, with all Android releases from CAF using the Linux kernel, by calling an IPA ioctl and searching for routing/filer/hdr rule handle from ipa_idr pointer using ipa_idr_find() function, the wrong structure pointer can be returned resulting in a slab out of bound access in the IPA driver.

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.

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. 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. 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. 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. 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 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. 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. 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.

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 `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 `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 avrc_proc_vendor_command of avrc_api.cc, there is a possible out of bounds write due to a missing bounds check. This could lead to remote code execution with no additional execution privileges needed. User interaction is not needed for exploitation. Product: Android Versions: Android-6.0 Android-6.0.1 Android-7.0 Android-7.1.1 Android-7.1.2 Android-8.0 Android-8.1 Android ID: A-79541338.

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.

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).

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.

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.

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

audio/AudioPolicyManagerBase.cpp in Android before 5.1 allows attackers to cause a denial of service (audio_policy application outage) via a crafted application that provides a NULL device address.

bindings/core/v8/V8DOMWrapper.h in Blink, as used in Google Chrome before 45.0.2454.101, does not perform a rethrow action to propagate information about a cross-context exception, which allows remote attackers to bypass the Same Origin Policy via a crafted HTML document containing an IFRAME element.

Array index error in the content-blocking functionality in Google Chrome before 24.0.1312.56 allows remote attackers to cause a denial of service or possibly have unspecified other impact via unknown vectors.

Due to missing input validation in all Android releases from CAF using the Linux kernel, HLOS can write to fuses for which it should not have access.

In all Qualcomm products with Android releases from CAF using the Linux kernel, the validation of filesystem access was insufficient.

In all Qualcomm products with Android releases from CAF using the Linux kernel, disabling asserts causes an instruction inside of an assert to not be executed resulting in incorrect control flow.

In all Android releases from CAF using the Linux kernel, a vulnerability exists in the parsing of a DRM provisioning command.

Insufficient validation of untrusted input in UI in Google Chrome on Linux, ChromeOS prior to 148.0.7778.96 allowed a remote attacker who convinced a user to engage in specific UI gestures to execute arbitrary code via a crafted HTML page. (Chromium security severity: Medium)

Insufficient validation of untrusted input in FileSystem in Google Chrome prior to 148.0.7778.96 allowed a remote attacker who had compromised the renderer process to perform arbitrary read/write via a crafted HTML page. (Chromium security severity: Medium)

Insufficient validation of untrusted input in Omnibox in Google Chrome prior to 148.0.7778.96 allowed a remote attacker to inject arbitrary scripts or HTML (UXSS) via malicious network traffic. (Chromium security severity: Medium)

In all Android releases from CAF using the Linux kernel, a vulnerability exists in the parsing of an SCM call.

A spoofing vulnerability can occur when a page switches to fullscreen mode without user notification, allowing a fake address bar to be displayed. This allows an attacker to spoof which page is actually loaded and in use. Note: This attack only affects Firefox for Android. Other operating systems are not affected. This vulnerability affects Firefox < 56.

Insufficient validation of untrusted input in Payments in Google Chrome on Android prior to 148.0.7778.96 allowed a remote attacker who had compromised the renderer process to spoof the contents of the Omnibox (URL bar) via a crafted HTML page. (Chromium security severity: Medium)

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

Insufficient validation of untrusted input in SiteIsolation in Google Chrome prior to 148.0.7778.96 allowed a remote attacker who had compromised the renderer process to bypass site isolation 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 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)

Google Chrome 1.0.154.48 and earlier allows remote attackers to cause a denial of service (CPU consumption and application hang) via JavaScript code with a long string value for the hash property (aka location.hash), a related issue to CVE-2008-5715.

Insufficient validation of untrusted input in FedCM in Google Chrome prior to 148.0.7778.96 allowed a remote attacker to leak cross-origin data via a crafted HTML page. (Chromium security severity: Low)

Insufficient validation of untrusted input in ANGLE in Google Chrome prior to 148.0.7778.96 allowed a remote attacker who had compromised the renderer process to perform arbitrary read/write via a crafted HTML page. (Chromium security severity: Medium)

drivers/misc/qseecom.c in the Qualcomm components in Android before 2016-08-05 on Nexus 5 and 7 (2013) devices does not validate certain pointers, which allows attackers to gain privileges via a crafted application, aka Android internal bug 28769920 and Qualcomm internal bug CR580740.

Insufficient validation of untrusted input in DevTools in Google Chrome prior to 148.0.7778.96 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 validation of untrusted input in Navigation in Google Chrome prior to 148.0.7778.96 allowed a remote attacker who had compromised the renderer process to potentially perform a sandbox escape via a crafted HTML page. (Chromium security severity: Medium)

Insufficient validation of untrusted input in Mobile in Google Chrome on Android prior to 148.0.7778.96 allowed a local attacker to inject arbitrary scripts or HTML (UXSS) via a crafted Chrome Extension. (Chromium security severity: Medium)

Insufficient validation of untrusted input in Permissions in Google Chrome prior to 148.0.7778.96 allowed an attacker on the local network segment to leak cross-origin data via malicious network traffic. (Chromium security severity: Medium)

Insufficient validation of untrusted input in ChromeDriver in Google Chrome on Windows prior to 148.0.7778.96 allowed a remote attacker to execute arbitrary code via a crafted HTML page. (Chromium security severity: Low)

Insufficient validation of untrusted input in Media in Google Chrome on Android prior to 148.0.7778.96 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)