Filtered by vendor Google
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Total
12759 CVE
| CVE | Vendors | Products | Updated | CVSS v3.1 |
|---|---|---|---|---|
| CVE-2022-20482 | 1 Google | 1 Android | 2025-04-22 | 5.5 Medium |
| In createNotificationChannel of NotificationManager.java, there is a possible way to make the device unusable and require factory reset due to resource exhaustion. This could lead to local denial of service with no additional execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android-12 Android-12L Android-13Android ID: A-240422263 | ||||
| CVE-2022-20480 | 1 Google | 1 Android | 2025-04-22 | 7.8 High |
| In NotificationChannel of NotificationChannel.java, there is a possible failure to persist permissions settings due to resource exhaustion. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android-10 Android-11 Android-12 Android-12L Android-13Android ID: A-241764350 | ||||
| CVE-2022-20442 | 1 Google | 1 Android | 2025-04-22 | 7.3 High |
| In onCreate of ReviewPermissionsActivity.java, there is a possible way to grant permissions for a separate app with API level < 23 due to a tapjacking/overlay attack. This could lead to local escalation of privilege with User execution privileges needed. User interaction is needed for exploitation.Product: AndroidVersions: Android-10 Android-11 Android-12 Android-12LAndroid ID: A-176094367 | ||||
| CVE-2022-20411 | 1 Google | 1 Android | 2025-04-22 | 8.8 High |
| In avdt_msg_asmbl of avdt_msg.cc, there is a possible out of bounds write due to a missing bounds check. This could lead to remote code execution over Bluetooth with no additional execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android-10 Android-11 Android-12 Android-12L Android-13Android ID: A-232023771 | ||||
| CVE-2022-20240 | 1 Google | 1 Android | 2025-04-22 | 2.3 Low |
| In sOpAllowSystemRestrictionBypass of AppOpsManager.java, there is a possible leak of location information due to a missing permission check. This could lead to local escalation of privilege with System execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android-12 Android-12LAndroid ID: A-231496105 | ||||
| CVE-2021-39660 | 1 Google | 1 Android | 2025-04-22 | 7 High |
| In TBD of TBD, there is a possible way to archive arbitrary code execution in kernel due to a race condition. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android SoCAndroid ID: A-254742984 | ||||
| CVE-2024-20032 | 2 Google, Mediatek | 36 Android, Mt6580, Mt6739 and 33 more | 2025-04-22 | 6.7 Medium |
| In aee, there is a possible permission bypass due to a missing permission check. This could lead to local escalation of privilege with System execution privileges needed. User interaction is not needed for exploitation. Patch ID: ALPS08487630; Issue ID: MSV-1020. | ||||
| CVE-2024-20030 | 2 Google, Mediatek | 20 Android, Mt6739, Mt6757 and 17 more | 2025-04-22 | 4.4 Medium |
| In da, there is a possible information disclosure due to improper input validation. This could lead to local information disclosure with System execution privileges needed. User interaction is not needed for exploitation. Patch ID: ALPS08541632; Issue ID: ALPS08541741. | ||||
| CVE-2024-20029 | 2 Google, Mediatek | 5 Android, Mt6985, Mt6989 and 2 more | 2025-04-22 | 8.4 High |
| In wlan firmware, there is a possible out of bounds write due to improper input validation. This could lead to local escalation of privilege with System execution privileges needed. User interaction is not needed for exploitation. Patch ID: ALPS08477406; Issue ID: MSV-1010. | ||||
| CVE-2022-39903 | 1 Google | 1 Android | 2025-04-22 | 4 Medium |
| Improper access control vulnerability in RCS call prior to SMR Dec-2022 Release 1 allows local attackers to access RCS incoming call number. | ||||
| CVE-2022-23593 | 1 Google | 1 Tensorflow | 2025-04-22 | 5.9 Medium |
| Tensorflow is an Open Source Machine Learning Framework. The `simplifyBroadcast` function in the MLIR-TFRT infrastructure in TensorFlow is vulnerable to a segfault (hence, denial of service), if called with scalar shapes. If all shapes are scalar, then `maxRank` is 0, so we build an empty `SmallVector`. The fix will be included in TensorFlow 2.8.0. This is the only affected version. | ||||
| CVE-2022-23590 | 1 Google | 1 Tensorflow | 2025-04-22 | 5.9 Medium |
| Tensorflow is an Open Source Machine Learning Framework. A `GraphDef` from a TensorFlow `SavedModel` can be maliciously altered to cause a TensorFlow process to crash due to encountering a `StatusOr` value that is an error and forcibly extracting the value from it. We have patched the issue in multiple GitHub commits and these will be included in TensorFlow 2.8.0 and TensorFlow 2.7.1, as both are affected. | ||||
| CVE-2022-23595 | 1 Google | 1 Tensorflow | 2025-04-22 | 5.3 Medium |
| Tensorflow is an Open Source Machine Learning Framework. When building an XLA compilation cache, if default settings are used, TensorFlow triggers a null pointer dereference. In the default scenario, all devices are allowed, so `flr->config_proto` is `nullptr`. 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. | ||||
| CVE-2022-23587 | 1 Google | 1 Tensorflow | 2025-04-22 | 8.8 High |
| 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. | ||||
| CVE-2022-23592 | 1 Google | 1 Tensorflow | 2025-04-22 | 8.1 High |
| Tensorflow is an Open Source Machine Learning Framework. TensorFlow's type inference can cause a heap out of bounds read as the bounds checking is done in a `DCHECK` (which is a no-op during production). An attacker can control the `input_idx` variable such that `ix` would be larger than the number of values in `node_t.args`. The fix will be included in TensorFlow 2.8.0. This is the only affected version. | ||||
| CVE-2022-23584 | 1 Google | 1 Tensorflow | 2025-04-22 | 7.6 High |
| 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. | ||||
| CVE-2022-23582 | 1 Google | 1 Tensorflow | 2025-04-22 | 6.5 Medium |
| Tensorflow is an Open Source Machine Learning Framework. A malicious user can cause a denial of service by altering a `SavedModel` such that `TensorByteSize` would trigger `CHECK` failures. `TensorShape` constructor throws a `CHECK`-fail if shape is partial or has a number of elements that would overflow the size of an `int`. The `PartialTensorShape` constructor instead does not cause a `CHECK`-abort if the shape is partial, which is exactly what this function needs to be able to return `-1`. 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. | ||||
| CVE-2022-23583 | 1 Google | 1 Tensorflow | 2025-04-22 | 6.5 Medium |
| Tensorflow is an Open Source Machine Learning Framework. A malicious user can cause a denial of service by altering a `SavedModel` such that any binary op would trigger `CHECK` failures. This occurs when the protobuf part corresponding to the tensor arguments is modified such that the `dtype` no longer matches the `dtype` expected by the op. In that case, calling the templated binary operator for the binary op would receive corrupted data, due to the type confusion involved. If `Tin` and `Tout` don't match the type of data in `out` and `input_*` tensors then `flat<*>` would interpret it wrongly. In most cases, this would be a silent failure, but we have noticed scenarios where this results in a `CHECK` crash, hence a denial of service. 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. | ||||
| CVE-2022-23586 | 1 Google | 1 Tensorflow | 2025-04-22 | 6.5 Medium |
| Tensorflow is an Open Source Machine Learning Framework. A malicious user can cause a denial of service by altering a `SavedModel` such that assertions in `function.cc` would be falsified and crash the Python interpreter. 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. | ||||
| CVE-2022-23589 | 1 Google | 1 Tensorflow | 2025-04-22 | 6.5 Medium |
| Tensorflow is an Open Source Machine Learning Framework. Under certain scenarios, Grappler component of TensorFlow can trigger a null pointer dereference. There are 2 places where this can occur, for the same malicious alteration of a `SavedModel` file (fixing the first one would trigger the same dereference in the second place). First, during constant folding, the `GraphDef` might not have the required nodes for the binary operation. If a node is missing, the correposning `mul_*child` would be null, and the dereference in the subsequent line would be incorrect. We have a similar issue during `IsIdentityConsumingSwitch`. 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. | ||||