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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-2020-22225
Publication date:
05/11/2021
Stivasoft (Phpjabbers) Fundraising Script v1.0 was discovered to contain a SQL injection vulnerability via the pjActionLoadForm function.
Severity CVSS v4.0: Pending analysis
Last modification:
09/11/2021

CVE-2020-22224
Publication date:
05/11/2021
Stivasoft (Phpjabbers) Fundraising Script v1.0 was discovered to contain a cross-site scripting (XSS) vulnerability via the pjActionPreview function.
Severity CVSS v4.0: Pending analysis
Last modification:
09/11/2021

CVE-2021-41216
Publication date:
05/11/2021
TensorFlow is an open source platform for machine learning. In affected versions the shape inference function for `Transpose` is vulnerable to a heap buffer overflow. This occurs whenever `perm` contains negative elements. The shape inference function does not validate that the indices in `perm` are all valid. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.
Severity CVSS v4.0: Pending analysis
Last modification:
09/11/2021

CVE-2021-41220
Publication date:
05/11/2021
TensorFlow is an open source platform for machine learning. In affected versions the async implementation of `CollectiveReduceV2` suffers from a memory leak and a use after free. This occurs due to the asynchronous computation and the fact that objects that have been `std::move()`d from are still accessed. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, as this version is the only one that is also affected.
Severity CVSS v4.0: Pending analysis
Last modification:
10/11/2021

CVE-2021-41227
Publication date:
05/11/2021
TensorFlow is an open source platform for machine learning. In affected versions the `ImmutableConst` operation in TensorFlow can be tricked into reading arbitrary memory contents. This is because the `tstring` TensorFlow string class has a special case for memory mapped strings but the operation itself does not offer any support for this datatype. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.
Severity CVSS v4.0: Pending analysis
Last modification:
10/11/2021

CVE-2021-41221
Publication date:
05/11/2021
TensorFlow is an open source platform for machine learning. In affected versions the shape inference code for the `Cudnn*` operations in TensorFlow can be tricked into accessing invalid memory, via a heap buffer overflow. This occurs because the ranks of the `input`, `input_h` and `input_c` parameters are not validated, but code assumes they have certain values. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.
Severity CVSS v4.0: Pending analysis
Last modification:
10/11/2021

CVE-2021-41222
Publication date:
05/11/2021
TensorFlow is an open source platform for machine learning. In affected versions the implementation of `SplitV` can trigger a segfault is an attacker supplies negative arguments. This occurs whenever `size_splits` contains more than one value and at least one value is negative. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.
Severity CVSS v4.0: Pending analysis
Last modification:
10/11/2021

CVE-2021-41225
Publication date:
05/11/2021
TensorFlow is an open source platform for machine learning. In affected versions TensorFlow's Grappler optimizer has a use of unitialized variable. If the `train_nodes` vector (obtained from the saved model that gets optimized) does not contain a `Dequeue` node, then `dequeue_node` is left unitialized. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.
Severity CVSS v4.0: Pending analysis
Last modification:
10/11/2021

CVE-2021-41230
Publication date:
05/11/2021
Pomerium is an open source identity-aware access proxy. In affected versions changes to the OIDC claims of a user after initial login are not reflected in policy evaluation when using `allowed_idp_claims` as part of policy. If using `allowed_idp_claims` and a user's claims are changed, Pomerium can make incorrect authorization decisions. This issue has been resolved in v0.15.6. For users unable to upgrade clear data on `databroker` service by clearing redis or restarting the in-memory databroker to force claims to be updated.
Severity CVSS v4.0: Pending analysis
Last modification:
10/11/2021

CVE-2021-41251
Publication date:
05/11/2021
@sap-cloud-sdk/core contains the core functionality of the SAP Cloud SDK as well as the SAP Business Technology Platform abstractions. This affects applications on SAP Business Technology Platform that use the SAP Cloud SDK and enabled caching of destinations. In affected versions and in some cases, when user information was missing, destinations were cached without user information, allowing other users to retrieve the same destination with its permissions. By default, destination caching is disabled. The security for caching has been increased. The changes are released in version 1.52.0. Users unable to upgrade are advised to disable destination caching (it is disabled by default).
Severity CVSS v4.0: Pending analysis
Last modification:
15/11/2021

CVE-2021-41228
Publication date:
05/11/2021
TensorFlow is an open source platform for machine learning. In affected versions TensorFlow's `saved_model_cli` tool is vulnerable to a code injection as it calls `eval` on user supplied strings. This can be used by attackers to run arbitrary code on the plaform where the CLI tool runs. However, given that the tool is always run manually, the impact of this is not severe. We have patched this by adding a `safe` flag which defaults to `True` and an explicit warning for users. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.
Severity CVSS v4.0: Pending analysis
Last modification:
20/10/2022

CVE-2021-41213
Publication date:
05/11/2021
TensorFlow is an open source platform for machine learning. In affected versions the code behind `tf.function` API can be made to deadlock when two `tf.function` decorated Python functions are mutually recursive. This occurs due to using a non-reentrant `Lock` Python object. Loading any model which contains mutually recursive functions is vulnerable. An attacker can cause denial of service by causing users to load such models and calling a recursive `tf.function`, although this is not a frequent scenario. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.
Severity CVSS v4.0: Pending analysis
Last modification:
20/10/2022
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