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-2022-23583

Publication date:

04/02/2022

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&#39;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.

Severity CVSS v4.0: Pending analysis

Last modification:

13/07/2023

CVE-2022-23564

Publication date:

04/02/2022

Tensorflow is an Open Source Machine Learning Framework. When decoding a resource handle tensor from protobuf, a TensorFlow process can encounter cases where a `CHECK` assertion is invalidated based on user controlled arguments. This allows attackers to cause denial of services in TensorFlow processes. 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.

Severity CVSS v4.0: Pending analysis

Last modification:

09/02/2022

CVE-2022-23561

Publication date:

04/02/2022

Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would cause a write outside of bounds of an array in TFLite. In fact, the attacker can override the linked list used by the memory allocator. This can be leveraged for an arbitrary write primitive under certain conditions. 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.

Severity CVSS v4.0: Pending analysis

Last modification:

09/02/2022

CVE-2022-23562

Publication date:

04/02/2022

Tensorflow is an Open Source Machine Learning Framework. The implementation of `Range` suffers from integer overflows. These can trigger undefined behavior or, in some scenarios, extremely large allocations. 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.

Severity CVSS v4.0: Pending analysis

Last modification:

09/02/2022

CVE-2022-23558

Publication date:

04/02/2022

Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would cause an integer overflow in `TfLiteIntArrayCreate`. The `TfLiteIntArrayGetSizeInBytes` returns an `int` instead of a `size_t. An attacker can control model inputs such that `computed_size` overflows the size of `int` datatype. 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.

Severity CVSS v4.0: Pending analysis

Last modification:

09/02/2022

CVE-2022-23559

Publication date:

04/02/2022

Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would cause an integer overflow in embedding lookup operations. Both `embedding_size` and `lookup_size` are products of values provided by the user. Hence, a malicious user could trigger overflows in the multiplication. In certain scenarios, this can then result in heap OOB read/write. Users are advised to upgrade to a patched version.

Severity CVSS v4.0: Pending analysis

Last modification:

09/02/2022

CVE-2022-23560

Publication date:

04/02/2022

Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would allow limited reads and writes outside of arrays in TFLite. This exploits missing validation in the conversion from sparse tensors to dense tensors. The fix is 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. Users are advised to upgrade as soon as possible.

Severity CVSS v4.0: Pending analysis

Last modification:

09/02/2022

CVE-2022-22987

Publication date:

04/02/2022

The affected product has a hardcoded private key available inside the project folder, which may allow an attacker to achieve Web Server login and perform further actions.

Severity CVSS v4.0: Pending analysis

Last modification:

09/02/2022

CVE-2022-23557

Publication date:

04/02/2022

Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would trigger a division by zero in `BiasAndClamp` implementation. There is no check that the `bias_size` is non zero. 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.

Severity CVSS v4.0: Pending analysis

Last modification:

09/02/2022

CVE-2022-23379

Publication date:

04/02/2022

Emlog v6.0 was discovered to contain a SQL injection vulnerability via the $TagID parameter of getblogidsfromtagid().

Severity CVSS v4.0: Pending analysis

Last modification:

09/02/2022

CVE-2022-22689

Publication date:

04/02/2022

CA Harvest Software Change Manager versions 13.0.3, 13.0.4, 14.0.0, and 14.0.1, contain a vulnerability in the CSV export functionality, due to insufficient input validation, that can allow a privileged user to potentially execute arbitrary code or commands.

Severity CVSS v4.0: Pending analysis

Last modification:

10/02/2022

CVE-2022-22722

Publication date:

04/02/2022

A CWE-798: Use of Hard-coded Credentials vulnerability exists that could result in information disclosure. If an attacker were to obtain the SSH cryptographic key for the device and take active control of the local operational network connected to the product they could potentially observe and manipulate traffic associated with product configuration. Affected Product: Easergy P5 (All firmware versions prior to V01.401.101)

Severity CVSS v4.0: Pending analysis

Last modification:

10/02/2022

Subscribe to Vulnerabilities