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Vulnerabilities

With the aim of informing, warning and helping professionals with the latest security vulnerabilities in technology systems, we have made a database available for users interested in this information, which is in Spanish and includes all of the latest documented and recognised vulnerabilities.

This repository, with over 75,000 registers, is based on the information from the NVD (National Vulnerability Database) – by virtue of a partnership agreement – through which INCIBE translates the included information into Spanish.

On occasions this list will show vulnerabilities that have still not been translated, as they are added while the INCIBE team is still carrying out the translation process. The CVE  (Common Vulnerabilities and Exposures) Standard for Information Security Vulnerability Names is used with the aim to support the exchange of information between different tools and databases.

All vulnerabilities collected are linked to different information sources, as well as available patches or solutions provided by manufacturers and developers. It is possible to carry out advanced searches, as there is the option to select different criteria to narrow down the results, some examples being vulnerability types, manufacturers and impact levels, among others.

Through RSS feeds or Newsletters we can be informed daily about the latest vulnerabilities added to the repository. Below there is a list, updated daily, where you can discover the latest vulnerabilities.

CVE-2022-35981
Publication date:
16/09/2022
TensorFlow is an open source platform for machine learning. `FractionalMaxPoolGrad` validates its inputs with `CHECK` failures instead of with returning errors. If it gets incorrectly sized inputs, the `CHECK` failure can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 8741e57d163a079db05a7107a7609af70931def4. 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.
Severity CVSS v4.0: Pending analysis
Last modification:
20/09/2022

CVE-2022-35982
Publication date:
16/09/2022
TensorFlow is an open source platform for machine learning. If `SparseBincount` is given inputs for `indices`, `values`, and `dense_shape` that do not make a valid sparse tensor, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 40adbe4dd15b582b0210dfbf40c243a62f5119fa. 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.
Severity CVSS v4.0: Pending analysis
Last modification:
20/09/2022

CVE-2022-35983
Publication date:
16/09/2022
TensorFlow is an open source platform for machine learning. If `Save` or `SaveSlices` is run over tensors of an unsupported `dtype`, 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 5dd7b86b84a864b834c6fa3d7f9f51c87efa99d4. 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.
Severity CVSS v4.0: Pending analysis
Last modification:
20/09/2022

CVE-2022-35984
Publication date:
16/09/2022
TensorFlow is an open source platform for machine learning. `ParameterizedTruncatedNormal` assumes `shape` is of type `int32`. A valid `shape` of type `int64` results in a mismatched type `CHECK` fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 72180be03447a10810edca700cbc9af690dfeb51. 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.
Severity CVSS v4.0: Pending analysis
Last modification:
20/09/2022

CVE-2022-29489
Publication date:
16/09/2022
Cross-Site Request Forgery (CSRF) vulnerability in Sucuri Security plugin
Severity CVSS v4.0: Pending analysis
Last modification:
19/02/2025

CVE-2022-35194
Publication date:
16/09/2022
TestLink v1.9.20 was discovered to contain a stored cross-site scripting (XSS) vulnerability via /lib/inventory/inventoryView.php.
Severity CVSS v4.0: Pending analysis
Last modification:
21/09/2022

CVE-2022-2333
Publication date:
16/09/2022
If an attacker manages to trick a valid user into loading a malicious DLL, the attacker may be able to achieve code execution in Honeywell SoftMaster version 4.51 application’s context and permissions.
Severity CVSS v4.0: Pending analysis
Last modification:
21/09/2022

CVE-2022-2332
Publication date:
16/09/2022
A local unprivileged attacker may escalate to administrator privileges in Honeywell SoftMaster version 4.51, due to insecure permission assignment.
Severity CVSS v4.0: Pending analysis
Last modification:
21/09/2022

CVE-2022-28758
Publication date:
16/09/2022
Zoom On-Premise Meeting Connector MMR before version 4.8.20220815.130 contains an improper access control vulnerability. As a result, a malicious actor could obtain the audio and video feed of a meeting they were not authorized to join and cause other meeting disruptions.
Severity CVSS v4.0: Pending analysis
Last modification:
21/09/2022

CVE-2022-35973
Publication date:
16/09/2022
TensorFlow is an open source platform for machine learning. If `QuantizedMatMul` is given nonscalar input for: `min_a`, `max_a`, `min_b`, or `max_b` It gives a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit aca766ac7693bf29ed0df55ad6bfcc78f35e7f48. 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.
Severity CVSS v4.0: Pending analysis
Last modification:
20/09/2022

CVE-2022-35974
Publication date:
16/09/2022
TensorFlow is an open source platform for machine learning. If `QuantizeDownAndShrinkRange` is given nonscalar inputs for `input_min` or `input_max`, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 73ad1815ebcfeb7c051f9c2f7ab5024380ca8613. 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.
Severity CVSS v4.0: Pending analysis
Last modification:
20/09/2022

CVE-2022-35972
Publication date:
16/09/2022
TensorFlow is an open source platform for machine learning. If `QuantizedBiasAdd` is given `min_input`, `max_input`, `min_bias`, `max_bias` 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 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.
Severity CVSS v4.0: Pending analysis
Last modification:
20/09/2022
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