Filtered by vendor Google
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Total
11915 CVE
| CVE | Vendors | Products | Updated | CVSS v2 | CVSS v3 |
|---|---|---|---|---|---|
| CVE-2021-25361 | 1 Google | 1 Android | 2022-09-23 | 7.2 HIGH | 8.8 HIGH |
| An improper access control vulnerability in stickerCenter prior to SMR APR-2021 Release 1 allows local attackers to read or write arbitrary files of system process via untrusted applications. | |||||
| CVE-2021-25383 | 1 Google | 1 Android | 2022-09-23 | 7.5 HIGH | 9.8 CRITICAL |
| An improper input validation vulnerability in scmn_mfal_read() in libsapeextractor library prior to SMR MAY-2021 Release 1 allows attackers to execute arbitrary code on mediaextractor process. | |||||
| CVE-2021-25385 | 1 Google | 1 Android | 2022-09-23 | 7.5 HIGH | 9.8 CRITICAL |
| An improper input validation vulnerability in sdfffd_parse_chunk_PROP() in libsdffextractor library prior to SMR MAY-2021 Release 1 allows attackers to execute arbitrary code on mediaextractor process. | |||||
| CVE-2021-25386 | 1 Google | 1 Android | 2022-09-23 | 7.5 HIGH | 9.8 CRITICAL |
| An improper input validation vulnerability in sdfffd_parse_chunk_FVER() in libsdffextractor library prior to SMR MAY-2021 Release 1 allows attackers to execute arbitrary code on mediaextractor process. | |||||
| CVE-2021-25387 | 1 Google | 1 Android | 2022-09-23 | 7.5 HIGH | 10.0 CRITICAL |
| An improper input validation vulnerability in sflacfd_get_frm() in libsflacextractor library prior to SMR MAY-2021 Release 1 allows attackers to execute arbitrary code on mediaextractor process. | |||||
| CVE-2021-25426 | 1 Google | 1 Android | 2022-09-23 | 5.0 MEDIUM | 7.5 HIGH |
| Improper component protection vulnerability in SmsViewerActivity of Samsung Message prior to SMR July-2021 Release 1 allows untrusted applications to access Message files. | |||||
| CVE-2021-25453 | 1 Google | 1 Android | 2022-09-23 | 2.1 LOW | 5.5 MEDIUM |
| Some improper access control in Bluetooth APIs prior to SMR Sep-2021 Release 1 allows untrusted application to get Bluetooth information. | |||||
| CVE-2021-25459 | 1 Google | 1 Android | 2022-09-23 | 2.1 LOW | 5.5 MEDIUM |
| An improper access control vulnerability in sspInit() in BlockchainTZService prior to SMR Sep-2021 Release 1 allows attackers to start BlockchainTZService. | |||||
| CVE-2021-25460 | 1 Google | 1 Android | 2022-09-23 | 2.1 LOW | 5.5 MEDIUM |
| An improper access control vulnerability in sspExit() in BlockchainTZService prior to SMR Sep-2021 Release 1 allows attackers to terminate BlockchainTZService. | |||||
| CVE-2022-36865 | 2 Google, Samsung | 2 Android, Group Sharing | 2022-09-21 | N/A | 3.3 LOW |
| Improper access control in Group Sharing prior to versions 13.0.6.15 in Android S(12), 13.0.6.14 in Android R(11) and below allows attackers to access device information. | |||||
| CVE-2022-36866 | 2 Google, Samsung | 2 Android, Group Sharing | 2022-09-21 | N/A | 3.3 LOW |
| Improper access control vulnerability in Broadcaster in Group Sharing prior to versions 13.0.6.15 in Android S(12), 13.0.6.14 in Android R(11) and below allows attackers to identify the device. | |||||
| CVE-2022-35959 | 1 Google | 1 Tensorflow | 2022-09-21 | N/A | 7.5 HIGH |
| TensorFlow is an open source platform for machine learning. The implementation of `AvgPool3DGradOp` does not fully validate the input `orig_input_shape`. This results in an overflow that results in a `CHECK` failure which can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 9178ac9d6389bdc54638ab913ea0e419234d14eb. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue. | |||||
| CVE-2022-35960 | 1 Google | 1 Tensorflow | 2022-09-21 | N/A | 7.5 HIGH |
| TensorFlow is an open source platform for machine learning. In `core/kernels/list_kernels.cc's TensorListReserve`, `num_elements` is assumed to be a tensor of size 1. When a `num_elements` of more than 1 element is provided, then `tf.raw_ops.TensorListReserve` fails the `CHECK_EQ` in `CheckIsAlignedAndSingleElement`. We have patched the issue in GitHub commit b5f6fbfba76576202b72119897561e3bd4f179c7. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue. | |||||
| CVE-2022-35963 | 1 Google | 1 Tensorflow | 2022-09-21 | N/A | 7.5 HIGH |
| TensorFlow is an open source platform for machine learning. The implementation of `FractionalAvgPoolGrad` does not fully validate the input `orig_input_tensor_shape`. This results in an overflow that results in a `CHECK` failure which can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 03a659d7be9a1154fdf5eeac221e5950fec07dad. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue. | |||||
| CVE-2022-35965 | 1 Google | 1 Tensorflow | 2022-09-20 | N/A | 7.5 HIGH |
| TensorFlow is an open source platform for machine learning. If `LowerBound` or `UpperBound` is given an empty`sorted_inputs` input, it results in a `nullptr` dereference, leading to a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit bce3717eaef4f769019fd18e990464ca4a2efeea. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue. | |||||
| CVE-2022-35964 | 1 Google | 1 Tensorflow | 2022-09-20 | N/A | 7.5 HIGH |
| TensorFlow is an open source platform for machine learning. The implementation of `BlockLSTMGradV2` does not fully validate its inputs. This results in a a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 2a458fc4866505be27c62f81474ecb2b870498fa. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue. | |||||
| CVE-2022-35968 | 1 Google | 1 Tensorflow | 2022-09-20 | N/A | 7.5 HIGH |
| TensorFlow is an open source platform for machine learning. The implementation of `AvgPoolGrad` does not fully validate the input `orig_input_shape`. This results in a `CHECK` failure which can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 3a6ac52664c6c095aa2b114e742b0aa17fdce78f. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue. | |||||
| CVE-2022-35967 | 1 Google | 1 Tensorflow | 2022-09-20 | N/A | 7.5 HIGH |
| TensorFlow is an open source platform for machine learning. If `QuantizedAdd` is given `min_input` or `max_input` tensors of a nonzero rank, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 49b3824d83af706df0ad07e4e677d88659756d89. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue. | |||||
| CVE-2022-35966 | 1 Google | 1 Tensorflow | 2022-09-20 | N/A | 7.5 HIGH |
| TensorFlow is an open source platform for machine learning. If `QuantizedAvgPool` is given `min_input` or `max_input` tensors of a nonzero rank, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 7cdf9d4d2083b739ec81cfdace546b0c99f50622. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue. | |||||
| CVE-2022-35971 | 1 Google | 1 Tensorflow | 2022-09-20 | N/A | 7.5 HIGH |
| TensorFlow is an open source platform for machine learning. If `FakeQuantWithMinMaxVars` is given `min` or `max` tensors of a nonzero rank, it results in a `CHECK` fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 785d67a78a1d533759fcd2f5e8d6ef778de849e0. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue. | |||||