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-2023-25801

Publication date:

25/03/2023

TensorFlow is an open source machine learning platform. Prior to versions 2.12.0 and 2.11.1, `nn_ops.fractional_avg_pool_v2` and `nn_ops.fractional_max_pool_v2` require the first and fourth elements of their parameter `pooling_ratio` to be equal to 1.0, as pooling on batch and channel dimensions is not supported. A fix is included in TensorFlow 2.12.0 and 2.11.1.

Severity CVSS v4.0: Pending analysis

Last modification:

03/04/2023

CVE-2023-25667

Publication date:

25/03/2023

TensorFlow is an open source platform for machine learning. Prior to versions 2.12.0 and 2.11.1, integer overflow occurs when `2^31

Severity CVSS v4.0: Pending analysis

Last modification:

07/11/2023

CVE-2023-25663

Publication date:

25/03/2023

TensorFlow is an open source platform for machine learning. Prior to versions 2.12.0 and 2.11.1, when `ctx->step_containter()` is a null ptr, the Lookup function will be executed with a null pointer. A fix is included in TensorFlow 2.12.0 and 2.11.1.

Severity CVSS v4.0: Pending analysis

Last modification:

30/03/2023

CVE-2023-25669

Publication date:

25/03/2023

TensorFlow is an open source platform for machine learning. Prior to versions 2.12.0 and 2.11.1, if the stride and window size are not positive for `tf.raw_ops.AvgPoolGrad`, it can give a floating point exception. A fix is included in TensorFlow version 2.12.0 and version 2.11.1.

Severity CVSS v4.0: Pending analysis

Last modification:

07/11/2023

CVE-2023-25670

Publication date:

25/03/2023

TensorFlow is an open source platform for machine learning. Versions prior to 2.12.0 and 2.11.1 have a null point error in QuantizedMatMulWithBiasAndDequantize with MKL enabled. A fix is included in TensorFlow version 2.12.0 and version 2.11.1.

Severity CVSS v4.0: Pending analysis

Last modification:

07/11/2023

CVE-2023-25671

Publication date:

25/03/2023

TensorFlow is an open source platform for machine learning. There is out-of-bounds access due to mismatched integer type sizes. A fix is included in TensorFlow version 2.12.0 and version 2.11.1.

Severity CVSS v4.0: Pending analysis

Last modification:

07/11/2023

CVE-2023-25674

Publication date:

25/03/2023

TensorFlow is an open source machine learning platform. Versions prior to 2.12.0 and 2.11.1 have a null pointer error in RandomShuffle with XLA enabled. A fix is included in TensorFlow 2.12.0 and 2.11.1.

Severity CVSS v4.0: Pending analysis

Last modification:

30/03/2023

CVE-2023-25659

Publication date:

25/03/2023

TensorFlow is an open source platform for machine learning. Prior to versions 2.12.0 and 2.11.1, if the parameter `indices` for `DynamicStitch` does not match the shape of the parameter `data`, it can trigger an stack OOB read. A fix is included in TensorFlow version 2.12.0 and version 2.11.1.

Severity CVSS v4.0: Pending analysis

Last modification:

07/11/2023

CVE-2023-25662

Publication date:

25/03/2023

TensorFlow is an open source platform for machine learning. Versions prior to 2.12.0 and 2.11.1 are vulnerable to integer overflow in EditDistance. A fix is included in TensorFlow version 2.12.0 and version 2.11.1.

Severity CVSS v4.0: Pending analysis

Last modification:

07/11/2023

CVE-2023-25660

Publication date:

25/03/2023

TensorFlow is an open source platform for machine learning. Prior to versions 2.12.0 and 2.11.1, when the parameter `summarize` of `tf.raw_ops.Print` is zero, the new method `SummarizeArray` will reference to a nullptr, leading to a seg fault. A fix is included in TensorFlow version 2.12 and version 2.11.1.

Severity CVSS v4.0: Pending analysis

Last modification:

07/11/2023

CVE-2023-25672

Publication date:

25/03/2023

TensorFlow is an open source platform for machine learning. The function `tf.raw_ops.LookupTableImportV2` cannot handle scalars in the `values` parameter and gives an NPE. A fix is included in TensorFlow version 2.12.0 and version 2.11.1.

Severity CVSS v4.0: Pending analysis

Last modification:

07/11/2023

CVE-2023-25673

Publication date:

25/03/2023

TensorFlow is an open source platform for machine learning. Versions prior to 2.12.0 and 2.11.1 have a Floating Point Exception in TensorListSplit with XLA. A fix is included in TensorFlow version 2.12.0 and version 2.11.1.

Severity CVSS v4.0: Pending analysis

Last modification:

07/11/2023

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