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-2025-29779

Publication date:
14/03/2025
Post-Quantum Secure Feldman's Verifiable Secret Sharing provides a Python implementation of Feldman's Verifiable Secret Sharing (VSS) scheme. In versions 0.7.6b0 and prior, the `secure_redundant_execution` function in feldman_vss.py attempts to mitigate fault injection attacks by executing a function multiple times and comparing results. However, several critical weaknesses exist. Python's execution environment cannot guarantee true isolation between redundant executions, the constant-time comparison implementation in Python is subject to timing variations, the randomized execution order and timing provide insufficient protection against sophisticated fault attacks, and the error handling may leak timing information about partial execution results. These limitations make the protection ineffective against targeted fault injection attacks, especially from attackers with physical access to the hardware. A successful fault injection attack could allow an attacker to bypass the redundancy check mechanisms, extract secret polynomial coefficients during share generation or verification, force the acceptance of invalid shares during verification, and/or manipulate the commitment verification process to accept fraudulent commitments. This undermines the core security guarantees of the Verifiable Secret Sharing scheme. As of time of publication, no patched versions of Post-Quantum Secure Feldman's Verifiable Secret Sharing exist, but other mitigations are available. Long-term remediation requires reimplementing the security-critical functions in a lower-level language like Rust. Short-term mitigations include deploying the software in environments with physical security controls, increasing the redundancy count (from 5 to a higher number) by modifying the source code, adding external verification of cryptographic operations when possible, considering using hardware security modules (HSMs) for key operations.
Severity CVSS v4.0: MEDIUM
Last modification:
14/03/2025

CVE-2025-29780

Publication date:
14/03/2025
Post-Quantum Secure Feldman's Verifiable Secret Sharing provides a Python implementation of Feldman's Verifiable Secret Sharing (VSS) scheme. In versions 0.7.6b0 and prior, the `feldman_vss` library contains timing side-channel vulnerabilities in its matrix operations, specifically within the `_find_secure_pivot` function and potentially other parts of `_secure_matrix_solve`. These vulnerabilities are due to Python's execution model, which does not guarantee constant-time execution. An attacker with the ability to measure the execution time of these functions (e.g., through repeated calls with carefully crafted inputs) could potentially recover secret information used in the Verifiable Secret Sharing (VSS) scheme. The `_find_secure_pivot` function, used during Gaussian elimination in `_secure_matrix_solve`, attempts to find a non-zero pivot element. However, the conditional statement `if matrix[row][col] != 0 and row_random
Severity CVSS v4.0: MEDIUM
Last modification:
14/03/2025

CVE-2025-29775

Publication date:
14/03/2025
xml-crypto is an XML digital signature and encryption library for Node.js. An attacker may be able to exploit a vulnerability in versions prior to 6.0.1, 3.2.1, and 2.1.6 to bypass authentication or authorization mechanisms in systems that rely on xml-crypto for verifying signed XML documents. The vulnerability allows an attacker to modify a valid signed XML message in a way that still passes signature verification checks. For example, it could be used to alter critical identity or access control attributes, enabling an attacker to escalate privileges or impersonate another user. Users of versions 6.0.0 and prior should upgrade to version 6.0.1 to receive a fix. Those who are still using v2.x or v3.x should upgrade to patched versions 2.1.6 or 3.2.1, respectively.
Severity CVSS v4.0: CRITICAL
Last modification:
15/03/2025

CVE-2025-26312

Publication date:
14/03/2025
SendQuick Entera devices before 11HF5 are vulnerable to CAPTCHA bypass by removing the Captcha parameter.
Severity CVSS v4.0: MEDIUM
Last modification:
17/03/2025

CVE-2024-54445

Publication date:
14/03/2025
Login functionality contains a blind SQL injection that can be exploited by unauthenticated attackers. Using a time-based blind SQLi technique the attacker can disclose all database contents. Account takeover is a potential outcome depending on the presence or lack thereof entries in certain database tables.
Severity CVSS v4.0: HIGH
Last modification:
14/03/2025

CVE-2024-54446

Publication date:
14/03/2025
Document history functionality contains a blind SQL injection that can be exploited by authenticated attackers. Using a time-based blind SQLi technique the attacker can disclose all database contents. Account takeover is a potential outcome depending on the presence or lack thereof entries in certain database tables.
Severity CVSS v4.0: HIGH
Last modification:
14/03/2025

CVE-2024-54447

Publication date:
14/03/2025
Saved search functionality contains a blind SQL injection that can be exploited by authenticated attackers. Using a time-based blind SQLi technique the attacker can disclose all database contents. Account takeover is a potential outcome depending on the presence or lack thereof entries in certain database tables.
Severity CVSS v4.0: HIGH
Last modification:
14/03/2025

CVE-2024-54448

Publication date:
14/03/2025
The Automation Scripting functionality can be exploited by attackers to run arbitrary system commands on the underlying operating system. An account with administrator privileges or that has been explicitly granted access to use Automation Scripting is needed to carry out the attack. Exploitation of this vulnerability would allow an attacker to run commands of their choosing on the underlying operating system of the web server running LogicalDOC.
Severity CVSS v4.0: HIGH
Last modification:
14/03/2025

CVE-2024-54449

Publication date:
14/03/2025
The API used to interact with documents in the application contains two endpoints with a flaw that allows an authenticated attacker to write a file with controlled contents to an arbitrary location on the underlying file system. This can be used to facilitate RCE. An account with ‘read’ and ‘write’ privileges on at least one existing document in the application is required to exploit the vulnerability. Exploitation of this vulnerability would allow an attacker to run commands of their choosing on the underlying operating system of the web server running LogicalDOC.
Severity CVSS v4.0: HIGH
Last modification:
14/03/2025

CVE-2024-29409

Publication date:
14/03/2025
File Upload vulnerability in nestjs nest v.10.3.2 allows a remote attacker to execute arbitrary code via the Content-Type header.
Severity CVSS v4.0: Pending analysis
Last modification:
17/03/2025

CVE-2024-12019

Publication date:
14/03/2025
The API used to interact with documents in the application contains a flaw that allows an authenticated attacker to read the contents of files on the underlying operating system. An account with ‘read’ and ‘download’ privileges on at least one existing document in the application is required to exploit the vulnerability. Exploitation of this vulnerability would allow an attacker to read the contents of any file available within the privileges of the system user running the application.
Severity CVSS v4.0: HIGH
Last modification:
14/03/2025

CVE-2024-12020

Publication date:
14/03/2025
There is a reflected cross-site scripting (XSS) within JSP files used to control application appearance. An unauthenticated attacker could deceive a user into clicking a crafted link to trigger the vulnerability. Stealing the session cookie is not possible due to cookie security flags, however the XSS may be used to induce a victim to perform on-site requests without their knowledge.<br /> <br /> This vulnerability only affects LogicalDOC Enterprise.
Severity CVSS v4.0: MEDIUM
Last modification:
14/03/2025