Vulnerability Monitor

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CVE-2024-25107


WikiDiscover is an extension designed for use with a CreateWiki managed farm to display wikis. On Special:WikiDiscover, the `Language::date` function is used when making the human-readable timestamp for inclusion on the wiki_creation column. This function uses interface messages to translate the names of months and days. It uses the `->text()` output mode, returning unescaped interface messages. Since the output is not escaped later, the unescaped interface message is included on the output, resulting in an XSS vulnerability. Exploiting this on-wiki requires the `(editinterface)` right. This vulnerability has been addressed in commit `267e763a0`. Users are advised to update their installations. There are no known workarounds for this vulnerability.


Security Impact Summary

This vulnerability carries a MEDIUM severity rating with a CVSS v3.1 score of 4.9, indicating it can be exploited remotely over the network with relatively low complexity without requiring user interaction . The vulnerability impacts integrity (unauthorized modifications), for affected systems. Impacting 1 product from miraheze organizations running these solutions should prioritize assessment and patching.

Historical Context

Reported in 2024, this vulnerability emerged during an era marked by increased sophistication in supply chain attacks, cloud infrastructure vulnerabilities, and software-as-a-service (SaaS) security challenges. Security practices during this period emphasized zero-trust architectures, container security, and API protection.


Published

2024-02-08T23:15:10.583

Last Modified

2024-11-21T09:00:16.140

Status

Modified

Source

[email protected]

Severity

CVSSv3.1: 4.9 (MEDIUM)

Weaknesses
  • Type: Secondary
    CWE-79

Affected Vendors & Products
Type Vendor Product Version/Range Vulnerable?
Application miraheze wikidiscover < 2023-02-08 Yes

References

How SecUtils Interprets This CVE

SecUtils normalizes and enriches National Vulnerability Database (NVD) records by standardizing vendor and product identifiers, aggregating vulnerability metadata from both NVD and MITRE sources, and providing structured context for security teams. For miraheze's affected products, we extract Common Platform Enumeration (CPE) data, Common Weakness Enumeration (CWE) classifications, CVSS severity metrics, and reference data to enable rapid vulnerability prioritization and asset correlation. This record contains no exploit code, proof-of-concept instructions, or attack methodologies—only defensive intelligence necessary for patch management, risk assessment, and security operations.