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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-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

CVE-2021-41250
Publication date:
05/11/2021
Python discord bot is the community bot for the Python Discord community. In affected versions when a non-blacklisted URL and an otherwise triggering filter token is included in the same message the token filter does not trigger. This means that by including any non-blacklisted URL moderation filters can be bypassed. This issue has been resolved in commit 67390298852513d13e0213870e50fb3cff1424e0
Severity CVSS v4.0: Pending analysis
Last modification:
17/07/2023

CVE-2020-22223
Publication date:
05/11/2021
Stivasoft (Phpjabbers) Fundraising Script v1.0 was discovered to contain a SQL injection vulnerability via the pjActionLoad function.
Severity CVSS v4.0: Pending analysis
Last modification:
09/11/2021

CVE-2020-22222
Publication date:
05/11/2021
Stivasoft (Phpjabbers) Fundraising Script v1.0 was discovered to contain a cross-site scripting (XSS) vulnerability via the pjActionLoadCss function.
Severity CVSS v4.0: Pending analysis
Last modification:
09/11/2021

CVE-2021-41202
Publication date:
05/11/2021
TensorFlow is an open source platform for machine learning. In affected versions while calculating the size of the output within the `tf.range` kernel, there is a conditional statement of type `int64 = condition ? int64 : double`. Due to C++ implicit conversion rules, both branches of the condition will be cast to `double` and the result would be truncated before the assignment. This result in overflows. 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-2021-41206
Publication date:
05/11/2021
TensorFlow is an open source platform for machine learning. In affected versions several TensorFlow operations are missing validation for the shapes of the tensor arguments involved in the call. Depending on the API, this can result in undefined behavior and segfault or `CHECK`-fail related crashes but in some scenarios writes and reads from heap populated arrays are also possible. We have discovered these issues internally via tooling while working on improving/testing GPU op determinism. As such, we don't have reproducers and there will be multiple fixes for these issues. These fixes will be included in TensorFlow 2.7.0. We will also cherrypick these commits 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-2021-41207
Publication date:
05/11/2021
TensorFlow is an open source platform for machine learning. In affected versions the implementation of `ParallelConcat` misses some input validation and can produce a division by 0. 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-2021-41208
Publication date:
05/11/2021
TensorFlow is an open source platform for machine learning. In affected versions the code for boosted trees in TensorFlow is still missing validation. As a result, attackers can trigger denial of service (via dereferencing `nullptr`s or via `CHECK`-failures) as well as abuse undefined behavior (binding references to `nullptr`s). An attacker can also read and write from heap buffers, depending on the API that gets used and the arguments that are passed to the call. Given that the boosted trees implementation in TensorFlow is unmaintained, it is recommend to no longer use these APIs. We will deprecate TensorFlow's boosted trees APIs in subsequent releases. 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-2021-41209
Publication date:
05/11/2021
TensorFlow is an open source platform for machine learning. In affected versions the implementations for convolution operators trigger a division by 0 if passed empty filter tensor arguments. 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
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