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Total
10294 CVE
| CVE | Vendors | Products | Updated | CVSS v2 | CVSS v3 |
|---|---|---|---|---|---|
| CVE-2022-30711 | 1 Google | 1 Android | 2022-06-10 | 9.4 HIGH | 9.1 CRITICAL |
| Improper validation vulnerability in FeedsInfo prior to SMR Jun-2022 Release 1 allows attackers to launch certain activities. | |||||
| CVE-2022-30709 | 1 Google | 1 Android | 2022-06-10 | 5.0 MEDIUM | 5.3 MEDIUM |
| Improper input validation check logic vulnerability in SECRIL prior to SMR Jun-2022 Release 1 allows attackers to trigger crash. | |||||
| CVE-2022-28794 | 1 Google | 1 Android | 2022-06-10 | 2.1 LOW | 3.3 LOW |
| Sensitive information exposure in low-battery dumpstate log prior to SMR Jun-2022 Release 1 allows local attackers to get SIM card information. | |||||
| CVE-2020-7645 | 1 Google | 1 Chrome-launcher | 2022-06-08 | 7.5 HIGH | 9.8 CRITICAL |
| All versions of chrome-launcher allow execution of arbitrary commands, by controlling the $HOME environment variable in Linux operating systems. | |||||
| CVE-2019-5040 | 2 Google, Openweave | 3 Nest Cam Iq Indoor, Nest Cam Iq Indoor Firmware, Openweave-core | 2022-06-07 | 5.0 MEDIUM | 7.5 HIGH |
| An exploitable information disclosure vulnerability exists in the Weave MessageLayer parsing of Openweave-core version 4.0.2 and Nest Cam IQ Indoor version 4620002. A specially crafted weave packet can cause an integer overflow to occur, resulting in PacketBuffer data reuse. An attacker can send a packet to trigger this vulnerability. | |||||
| CVE-2022-29213 | 1 Google | 1 Tensorflow | 2022-06-06 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the `tf.compat.v1.signal.rfft2d` and `tf.compat.v1.signal.rfft3d` lack input validation and under certain condition can result in crashes (due to `CHECK`-failures). Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue. | |||||
| CVE-2021-39767 | 1 Google | 1 Android | 2022-06-04 | 4.6 MEDIUM | 7.8 HIGH |
| In miniadb, there is a possible way to get read/write access to recovery system properties due to an insecure default value. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android-12LAndroid ID: A-201308542 | |||||
| CVE-2022-20064 | 2 Google, Mediatek | 37 Android, Mt6580, Mt6737 and 34 more | 2022-06-03 | 7.2 HIGH | 6.7 MEDIUM |
| In ccci, there is a possible leak of kernel pointer due to an incorrect bounds check. This could lead to local information disclosure with System execution privileges needed. User interaction is not needed for exploitation. Patch ID: ALPS06108617; Issue ID: ALPS06108617. | |||||
| CVE-2022-29212 | 1 Google | 1 Tensorflow | 2022-06-03 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, certain TFLite models that were created using TFLite model converter would crash when loaded in the TFLite interpreter. The culprit is that during quantization the scale of values could be greater than 1 but code was always assuming sub-unit scaling. Thus, since code was calling `QuantizeMultiplierSmallerThanOneExp`, the `TFLITE_CHECK_LT` assertion would trigger and abort the process. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue. | |||||
| CVE-2022-29211 | 1 Google | 1 Tensorflow | 2022-06-03 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.histogram_fixed_width` is vulnerable to a crash when the values array contain `Not a Number` (`NaN`) elements. The implementation assumes that all floating point operations are defined and then converts a floating point result to an integer index. If `values` contains `NaN` then the result of the division is still `NaN` and the cast to `int32` would result in a crash. This only occurs on the CPU implementation. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue. | |||||
| CVE-2022-29216 | 1 Google | 1 Tensorflow | 2022-06-02 | 4.6 MEDIUM | 7.8 HIGH |
| TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, TensorFlow's `saved_model_cli` tool is vulnerable to a code injection. This can be used to open a reverse shell. This code path was maintained for compatibility reasons as the maintainers had several test cases where numpy expressions were used as arguments. However, given that the tool is always run manually, the impact of this is still not severe. The maintainers have now removed the `safe=False` argument, so all parsing is done without calling `eval`. The patch is available in versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4. | |||||
| CVE-2022-29210 | 1 Google | 1 Tensorflow | 2022-06-02 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an open source platform for machine learning. In version 2.8.0, the `TensorKey` hash function used total estimated `AllocatedBytes()`, which (a) is an estimate per tensor, and (b) is a very poor hash function for constants (e.g. `int32_t`). It also tried to access individual tensor bytes through `tensor.data()` of size `AllocatedBytes()`. This led to ASAN failures because the `AllocatedBytes()` is an estimate of total bytes allocated by a tensor, including any pointed-to constructs (e.g. strings), and does not refer to contiguous bytes in the `.data()` buffer. The discoverers could not use this byte vector anyway because types such as `tstring` include pointers, whereas they needed to hash the string values themselves. This issue is patched in Tensorflow versions 2.9.0 and 2.8.1. | |||||
| CVE-2022-29209 | 1 Google | 1 Tensorflow | 2022-06-02 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the macros that TensorFlow uses for writing assertions (e.g., `CHECK_LT`, `CHECK_GT`, etc.) have an incorrect logic when comparing `size_t` and `int` values. Due to type conversion rules, several of the macros would trigger incorrectly. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue. | |||||
| CVE-2022-29208 | 1 Google | 1 Tensorflow | 2022-06-02 | 3.6 LOW | 7.1 HIGH |
| TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.raw_ops.EditDistance` has incomplete validation. Users can pass negative values to cause a segmentation fault based denial of service. In multiple places throughout the code, one may compute an index for a write operation. However, the existing validation only checks against the upper bound of the array. Hence, it is possible to write before the array by massaging the input to generate negative values for `loc`. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue. | |||||
| CVE-2022-29206 | 1 Google | 1 Tensorflow | 2022-06-02 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.raw_ops.SparseTensorDenseAdd` does not fully validate the input arguments. In this case, a reference gets bound to a `nullptr` during kernel execution. This is undefined behavior. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue. | |||||
| CVE-2022-29205 | 1 Google | 1 Tensorflow | 2022-06-02 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, there is a potential for segfault / denial of service in TensorFlow by calling `tf.compat.v1.*` ops which don't yet have support for quantized types, which was added after migration to TensorFlow 2.x. In these scenarios, since the kernel is missing, a `nullptr` value is passed to `ParseDimensionValue` for the `py_value` argument. Then, this is dereferenced, resulting in segfault. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue. | |||||
| CVE-2022-29204 | 1 Google | 1 Tensorflow | 2022-06-02 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.raw_ops.UnsortedSegmentJoin` does not fully validate the input arguments. This results in a `CHECK`-failure which can be used to trigger a denial of service attack. The code assumes `num_segments` is a positive scalar but there is no validation. Since this value is used to allocate the output tensor, a negative value would result in a `CHECK`-failure (assertion failure), as per TFSA-2021-198. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue. | |||||
| CVE-2022-29203 | 1 Google | 1 Tensorflow | 2022-06-02 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.raw_ops.SpaceToBatchND` (in all backends such as XLA and handwritten kernels) is vulnerable to an integer overflow: The result of this integer overflow is used to allocate the output tensor, hence we get a denial of service via a `CHECK`-failure (assertion failure), as in TFSA-2021-198. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue. | |||||
| CVE-2022-29202 | 1 Google | 1 Tensorflow | 2022-06-02 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.ragged.constant` does not fully validate the input arguments. This results in a denial of service by consuming all available memory. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue. | |||||
| CVE-2022-29201 | 1 Google | 1 Tensorflow | 2022-06-02 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.raw_ops.QuantizedConv2D` does not fully validate the input arguments. In this case, references get bound to `nullptr` for each argument that is empty. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue. | |||||