Filtered by vendor Google
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Total
12727 CVE
| CVE | Vendors | Products | Updated | CVSS v2 | CVSS v3 |
|---|---|---|---|---|---|
| CVE-2022-24001 | 1 Google | 1 Android | 2024-11-21 | 2.1 LOW | 3.8 LOW |
| Information disclosure vulnerability in Edge Panel prior to Android S(12) allows physical attackers to access screenshot in clipboard via Edge Panel. | |||||
| CVE-2022-24000 | 1 Google | 1 Android | 2024-11-21 | 2.1 LOW | 3.9 LOW |
| PendingIntent hijacking vulnerability in DataUsageReminderReceiver prior to SMR Feb-2022 Release 1 allows local attackers to access media files without permission in KnoxPrivacyNoticeReceiver via implicit Intent. | |||||
| CVE-2022-23999 | 1 Google | 1 Android | 2024-11-21 | 2.1 LOW | 3.9 LOW |
| 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. | |||||
| CVE-2022-23998 | 2 Google, Samsung | 2 Android, Camera | 2024-11-21 | 4.3 MEDIUM | 6.2 MEDIUM |
| Improper access control vulnerability in Camera prior to versions 11.1.02.16 in Android R(11), 10.5.03.77 in Android Q(10) and 9.0.6.68 in Android P(9) allows untrusted applications to take a picture in screenlock status. | |||||
| CVE-2022-23729 | 1 Google | 1 Android | 2024-11-21 | 6.9 MEDIUM | 7.8 HIGH |
| When the device is in factory state, it can be access the shell without adb authentication process. The LG ID is LVE-SMP-210010. | |||||
| CVE-2022-23728 | 1 Google | 1 Android | 2024-11-21 | 6.6 MEDIUM | 6.1 MEDIUM |
| Attacker can reset the device with AT Command in the process of rebooting the device. The LG ID is LVE-SMP-210011. | |||||
| CVE-2022-23595 | 1 Google | 1 Tensorflow | 2024-11-21 | 4.0 MEDIUM | 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-2022-23594 | 1 Google | 1 Tensorflow | 2024-11-21 | 2.1 LOW | 8.8 HIGH |
| 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. | |||||
| CVE-2022-23593 | 1 Google | 1 Tensorflow | 2024-11-21 | 5.0 MEDIUM | 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-2022-23592 | 1 Google | 1 Tensorflow | 2024-11-21 | 5.5 MEDIUM | 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-2022-23591 | 1 Google | 1 Tensorflow | 2024-11-21 | 5.0 MEDIUM | 7.5 HIGH |
| Tensorflow is an Open Source Machine Learning Framework. The `GraphDef` format in TensorFlow does not allow self recursive functions. The runtime assumes that this invariant is satisfied. However, a `GraphDef` containing a fragment such as the following can be consumed when loading a `SavedModel`. This would result in a stack overflow during execution as resolving each `NodeDef` means resolving the function itself and its nodes. 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-2022-23590 | 1 Google | 1 Tensorflow | 2024-11-21 | 5.0 MEDIUM | 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-2022-23589 | 1 Google | 1 Tensorflow | 2024-11-21 | 4.0 MEDIUM | 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. | |||||
| CVE-2022-23588 | 1 Google | 1 Tensorflow | 2024-11-21 | 4.0 MEDIUM | 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 Grappler optimizer would attempt to build a tensor using a reference `dtype`. This would result in a crash due to a `CHECK`-fail in the `Tensor` constructor as reference types are not allowed. 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 | 2024-11-21 | 7.5 HIGH | 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-2022-23586 | 1 Google | 1 Tensorflow | 2024-11-21 | 4.0 MEDIUM | 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-2022-23585 | 1 Google | 1 Tensorflow | 2024-11-21 | 4.0 MEDIUM | 4.3 MEDIUM |
| Tensorflow is an Open Source Machine Learning Framework. When decoding PNG images TensorFlow can produce a memory leak if the image is invalid. After calling `png::CommonInitDecode(..., &decode)`, the `decode` value contains allocated buffers which can only be freed by calling `png::CommonFreeDecode(&decode)`. However, several error case in the function implementation invoke the `OP_REQUIRES` macro which immediately terminates the execution of the function, without allowing for the memory free to occur. 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-2022-23584 | 1 Google | 1 Tensorflow | 2024-11-21 | 4.0 MEDIUM | 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-2022-23583 | 1 Google | 1 Tensorflow | 2024-11-21 | 4.0 MEDIUM | 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-2022-23582 | 1 Google | 1 Tensorflow | 2024-11-21 | 4.0 MEDIUM | 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. | |||||