# |
CVE ID
|
CWE ID
|
# of Exploits
|
Vulnerability Type(s)
|
Publish Date
|
Update Date
|
Score
|
Gained Access Level
|
Access
|
Complexity
|
Authentication
|
Conf.
|
Integ.
|
Avail.
|
1 |
CVE-2010-1029 |
399 |
2
|
DoS Exec Code |
2010-03-19 |
2019-09-26 |
5.0 |
None |
Remote |
Low |
Not required |
None |
None |
Partial |
Stack consumption vulnerability in the WebCore::CSSSelector function in WebKit, as used in Apple Safari 4.0.4, Apple Safari on iPhone OS and iPhone OS for iPod touch, and Google Chrome 4.0.249, allows remote attackers to cause a denial of service (application crash) or possibly execute arbitrary code via a STYLE element composed of a large number of *> sequences. |
2 |
CVE-2012-6301 |
20 |
1
|
DoS |
2012-12-10 |
2012-12-11 |
5.0 |
None |
Remote |
Low |
Not required |
None |
None |
Partial |
The Browser application in Android 4.0.3 allows remote attackers to cause a denial of service (application crash) via a crafted market: URI in the SRC attribute of an IFRAME element. |
3 |
CVE-2022-31055 |
863 |
|
|
2022-06-13 |
2022-06-27 |
5.0 |
None |
Remote |
Low |
Not required |
None |
Partial |
None |
kCTF is a Kubernetes-based infrastructure for capture the flag (CTF) competitions. Prior to version 1.6.0, the kctf cluster set-src-ip-ranges was broken and allowed traffic from any IP. The problem has been patched in v1.6.0. As a workaround, those who want to test challenges privately can mark them as `public: false` and use `kctf chal debug port-forward` to connect. |
4 |
CVE-2022-30729 |
|
|
|
2022-06-07 |
2022-06-11 |
2.1 |
None |
Local |
Low |
Not required |
Partial |
None |
None |
Implicit Intent hijacking vulnerability in Settings prior to SMR Jun-2022 Release 1 allows attackers to get Wi-Fi SSID and password via a malicious QR code scanner. |
5 |
CVE-2022-30728 |
668 |
|
|
2022-06-07 |
2022-06-11 |
2.1 |
None |
Local |
Low |
Not required |
Partial |
None |
None |
Information exposure vulnerability in ScanPool prior to SMR Jun-2022 Release 1 allows local attackers to get MAC address information. |
6 |
CVE-2022-30727 |
755 |
|
|
2022-06-07 |
2022-06-11 |
2.1 |
None |
Local |
Low |
Not required |
None |
Partial |
None |
Improper handling of insufficient permissions vulnerability in addAppPackageNameToAllowList in PersonaManagerService prior to SMR Jun-2022 Release 1 allows local attackers to set some setting value in work space. |
7 |
CVE-2022-30726 |
|
|
|
2022-06-07 |
2022-06-11 |
4.6 |
None |
Local |
Low |
Not required |
Partial |
Partial |
Partial |
Unprotected component vulnerability in DeviceSearchTrampoline in SecSettingsIntelligence prior to SMR Jun-2022 Release 1 allows local attackers to launch activities of SecSettingsIntelligence. |
8 |
CVE-2022-30725 |
755 |
|
|
2022-06-07 |
2022-06-11 |
3.3 |
None |
Local Network |
Low |
Not required |
Partial |
None |
None |
Broadcasting Intent including the BluetoothDevice object without proper restriction of receivers in sendIntentSessionError function of Bluetooth prior to SMR Jun-2022 Release 1 leaks MAC address of the connected Bluetooth device. |
9 |
CVE-2022-30724 |
755 |
|
|
2022-06-07 |
2022-06-11 |
3.3 |
None |
Local Network |
Low |
Not required |
Partial |
None |
None |
Broadcasting Intent including the BluetoothDevice object without proper restriction of receivers in sendIntentSessionCompleted function of Bluetooth prior to SMR Jun-2022 Release 1 leaks MAC address of the connected Bluetooth device. |
10 |
CVE-2022-30723 |
755 |
|
|
2022-06-07 |
2022-06-11 |
3.3 |
None |
Local Network |
Low |
Not required |
Partial |
None |
None |
Broadcasting Intent including the BluetoothDevice object without proper restriction of receivers in activateVoiceRecognitionWithDevice function of Bluetooth prior to SMR Jun-2022 Release 1 leaks MAC address of the connected Bluetooth device. |
11 |
CVE-2022-30721 |
20 |
|
|
2022-06-07 |
2022-06-11 |
5.0 |
None |
Remote |
Low |
Not required |
None |
None |
Partial |
Improper input validation check logic vulnerability in libsmkvextractor prior to SMR Jun-2022 Release 1 allows attackers to trigger crash. |
12 |
CVE-2022-30720 |
20 |
|
|
2022-06-07 |
2022-06-11 |
5.0 |
None |
Remote |
Low |
Not required |
None |
None |
Partial |
Improper input validation check logic vulnerability in libsmkvextractor prior to SMR Jun-2022 Release 1 allows attackers to trigger crash. |
13 |
CVE-2022-30719 |
20 |
|
|
2022-06-07 |
2022-06-11 |
5.0 |
None |
Remote |
Low |
Not required |
None |
None |
Partial |
Improper input validation check logic vulnerability in libsmkvextractor prior to SMR Jun-2022 Release 1 allows attackers to trigger crash. |
14 |
CVE-2022-30717 |
863 |
|
|
2022-06-07 |
2022-06-11 |
5.0 |
None |
Remote |
Low |
Not required |
None |
Partial |
None |
Improper caller check in AR Emoji prior to SMR Jun-2022 Release 1 allows untrusted applications to use some camera functions via deeplink. |
15 |
CVE-2022-30716 |
755 |
|
|
2022-06-07 |
2022-06-11 |
5.0 |
None |
Remote |
Low |
Not required |
Partial |
None |
None |
Unprotected broadcast in sendIntentForToastDumpLog in DisplayToast prior to SMR Jun-2022 Release 1 allows untrusted applications to access toast message information from device. |
16 |
CVE-2022-30715 |
862 |
|
|
2022-06-07 |
2022-06-11 |
5.0 |
None |
Remote |
Low |
Not required |
None |
Partial |
None |
Improper access control vulnerability in DofViewer prior to SMR Jun-2022 Release 1 allows attackers to control floating system alert window. |
17 |
CVE-2022-30714 |
668 |
|
|
2022-06-07 |
2022-06-11 |
2.1 |
None |
Local |
Low |
Not required |
Partial |
None |
None |
Information exposure vulnerability in SemIWCMonitor prior to SMR Jun-2022 Release 1 allows local attackers to get MAC address information. |
18 |
CVE-2022-30709 |
20 |
|
|
2022-06-07 |
2022-06-11 |
5.0 |
None |
Remote |
Low |
Not required |
None |
None |
Partial |
Improper input validation check logic vulnerability in SECRIL prior to SMR Jun-2022 Release 1 allows attackers to trigger crash. |
19 |
CVE-2022-29216 |
94 |
|
|
2022-05-21 |
2022-06-03 |
4.6 |
None |
Local |
Low |
Not required |
Partial |
Partial |
Partial |
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. |
20 |
CVE-2022-29213 |
20 |
|
|
2022-05-21 |
2022-06-07 |
2.1 |
None |
Local |
Low |
Not required |
None |
None |
Partial |
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. |
21 |
CVE-2022-29212 |
20 |
|
|
2022-05-21 |
2022-06-03 |
2.1 |
None |
Local |
Low |
Not required |
None |
None |
Partial |
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. |
22 |
CVE-2022-29211 |
20 |
|
|
2022-05-21 |
2022-06-03 |
2.1 |
None |
Local |
Low |
Not required |
None |
None |
Partial |
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. |
23 |
CVE-2022-29210 |
120 |
|
|
2022-05-21 |
2022-06-03 |
2.1 |
None |
Local |
Low |
Not required |
None |
None |
Partial |
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. |
24 |
CVE-2022-29209 |
843 |
|
|
2022-05-21 |
2022-06-03 |
2.1 |
None |
Local |
Low |
Not required |
None |
None |
Partial |
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. |
25 |
CVE-2022-29208 |
787 |
|
DoS |
2022-05-20 |
2022-06-03 |
3.6 |
None |
Local |
Low |
Not required |
None |
Partial |
Partial |
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. |
26 |
CVE-2022-29207 |
20 |
|
|
2022-05-20 |
2022-06-02 |
2.1 |
None |
Local |
Low |
Not required |
None |
None |
Partial |
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, multiple TensorFlow operations misbehave in eager mode when the resource handle provided to them is invalid. In graph mode, it would have been impossible to perform these API calls, but migration to TF 2.x eager mode opened up this vulnerability. If the resource handle is empty, then a reference is bound to a null pointer inside TensorFlow codebase (various codepaths). This is undefined behavior. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue. |
27 |
CVE-2022-29206 |
20 |
|
|
2022-05-20 |
2022-06-02 |
2.1 |
None |
Local |
Low |
Not required |
None |
None |
Partial |
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. |
28 |
CVE-2022-29205 |
476 |
|
DoS |
2022-05-20 |
2022-06-02 |
2.1 |
None |
Local |
Low |
Not required |
None |
None |
Partial |
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. |
29 |
CVE-2022-29204 |
20 |
|
DoS |
2022-05-20 |
2022-06-02 |
2.1 |
None |
Local |
Low |
Not required |
None |
None |
Partial |
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. |
30 |
CVE-2022-29203 |
190 |
|
DoS Overflow |
2022-05-20 |
2022-06-02 |
2.1 |
None |
Local |
Low |
Not required |
None |
None |
Partial |
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. |
31 |
CVE-2022-29202 |
20 |
|
DoS |
2022-05-20 |
2022-06-02 |
2.1 |
None |
Local |
Low |
Not required |
None |
None |
Partial |
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. |
32 |
CVE-2022-29201 |
20 |
|
|
2022-05-20 |
2022-06-02 |
2.1 |
None |
Local |
Low |
Not required |
None |
None |
Partial |
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. |
33 |
CVE-2022-29200 |
20 |
|
DoS |
2022-05-20 |
2022-06-02 |
2.1 |
None |
Local |
Low |
Not required |
None |
None |
Partial |
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.LSTMBlockCell` 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 does not validate the ranks of any of the arguments to this API call. This results in `CHECK`-failures when the elements of the tensor are accessed. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue. |
34 |
CVE-2022-29199 |
20 |
|
DoS |
2022-05-20 |
2022-05-27 |
2.1 |
None |
Local |
Low |
Not required |
None |
None |
Partial |
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.LoadAndRemapMatrix 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 `initializing_values` is a vector but there is no validation for this before accessing its value. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue. |
35 |
CVE-2022-29198 |
20 |
|
DoS |
2022-05-20 |
2022-05-27 |
2.1 |
None |
Local |
Low |
Not required |
None |
None |
Partial |
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.SparseTensorToCSRSparseMatrix` 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 `dense_shape` is a vector and `indices` is a matrix (as part of requirements for sparse tensors) but there is no validation for this. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue. |
36 |
CVE-2022-29197 |
20 |
|
DoS |
2022-05-20 |
2022-05-26 |
2.1 |
None |
Local |
Low |
Not required |
None |
None |
Partial |
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 scalar but there is no validation for this before accessing its value. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue. |
37 |
CVE-2022-29196 |
20 |
|
DoS |
2022-05-20 |
2022-05-26 |
2.1 |
None |
Local |
Low |
Not required |
None |
None |
Partial |
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.Conv3DBackpropFilterV2` 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 does not validate that the `filter_sizes` argument is a vector. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue. |
38 |
CVE-2022-29195 |
20 |
|
DoS |
2022-05-20 |
2022-05-26 |
2.1 |
None |
Local |
Low |
Not required |
None |
None |
Partial |
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.StagePeek` 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 `index` is a scalar but there is no validation for this before accessing its value. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue. |
39 |
CVE-2022-29194 |
20 |
|
DoS |
2022-05-20 |
2022-06-02 |
2.1 |
None |
Local |
Low |
Not required |
None |
None |
Partial |
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.DeleteSessionTensor` does not fully validate the input arguments. This results in a `CHECK`-failure which can be used to trigger a denial of service attack. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue. |
40 |
CVE-2022-29193 |
20 |
|
DoS |
2022-05-20 |
2022-05-26 |
2.1 |
None |
Local |
Low |
Not required |
None |
None |
Partial |
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.TensorSummaryV2` does not fully validate the input arguments. This results in a `CHECK`-failure which can be used to trigger a denial of service attack. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue. |
41 |
CVE-2022-29192 |
20 |
|
DoS |
2022-05-20 |
2022-06-02 |
2.1 |
None |
Local |
Low |
Not required |
None |
None |
Partial |
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.QuantizeAndDequantizeV4Grad` does not fully validate the input arguments. This results in a `CHECK`-failure which can be used to trigger a denial of service attack. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue. |
42 |
CVE-2022-29191 |
20 |
|
DoS |
2022-05-20 |
2022-06-02 |
2.1 |
None |
Local |
Low |
Not required |
None |
None |
Partial |
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.GetSessionTensor` does not fully validate the input arguments. This results in a `CHECK`-failure which can be used to trigger a denial of service attack. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue. |
43 |
CVE-2022-28794 |
668 |
|
|
2022-06-07 |
2022-06-11 |
2.1 |
None |
Local |
Low |
Not required |
Partial |
None |
None |
Sensitive information exposure in low-battery dumpstate log prior to SMR Jun-2022 Release 1 allows local attackers to get SIM card information. |
44 |
CVE-2022-28788 |
125 |
|
DoS |
2022-05-03 |
2022-05-11 |
2.1 |
None |
Local |
Low |
Not required |
None |
None |
Partial |
Improper buffer size check logic in aviextractor library prior to SMR May-2022 Release 1 allows out of bounds read leading to possible temporary denial of service. The patch adds buffer size check logic. |
45 |
CVE-2022-28787 |
125 |
|
DoS |
2022-05-03 |
2022-05-11 |
2.1 |
None |
Local |
Low |
Not required |
None |
None |
Partial |
Improper buffer size check logic in wmfextractor library prior to SMR May-2022 Release 1 allows out of bounds read leading to possible temporary denial of service. The patch adds buffer size check logic. |
46 |
CVE-2022-28786 |
125 |
|
DoS |
2022-05-03 |
2022-05-11 |
2.1 |
None |
Local |
Low |
Not required |
None |
None |
Partial |
Improper buffer size check logic in aviextractor library prior to SMR May-2022 Release 1 allows out of bounds read leading to possible temporary denial of service. The patch adds buffer size check logic. |
47 |
CVE-2022-28785 |
125 |
|
DoS |
2022-05-03 |
2022-05-11 |
2.1 |
None |
Local |
Low |
Not required |
None |
None |
Partial |
Improper buffer size check logic in aviextractor library prior to SMR May-2022 Release 1 allows out of bounds read leading to possible temporary denial of service. The patch adds buffer size check logic. |
48 |
CVE-2022-28784 |
22 |
|
Dir. Trav. |
2022-05-03 |
2022-05-11 |
2.1 |
None |
Local |
Low |
Not required |
Partial |
None |
None |
Path traversal vulnerability in Galaxy Themes prior to SMR May-2022 Release 1 allows attackers to list file names in arbitrary directory as system user. The patch addresses incorrect implementation of file path validation check logic. |
49 |
CVE-2022-28783 |
20 |
|
|
2022-05-03 |
2022-05-11 |
3.6 |
None |
Local |
Low |
Not required |
None |
Partial |
Partial |
Improper validation of removing package name in Galaxy Themes prior to SMR May-2022 Release 1 allows attackers to uninstall arbitrary packages without permission. The patch adds proper validation logic for removing package name. |
50 |
CVE-2022-28782 |
863 |
|
|
2022-05-03 |
2022-05-11 |
2.1 |
None |
Local |
Low |
Not required |
None |
Partial |
None |
Improper access control vulnerability in Contents To Window prior to SMR May-2022 Release 1 allows physical attacker to install package before completion of Setup wizard. The patch blocks entry point of the vulnerability. |