Cyber Resilience

CVE-2025-3907

Medium

Published: 23 April 2025

Published
23 April 2025
Modified
02 September 2025
KEV Added
Patch
CVSS Score v3.1 4.3 CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:L/A:N
EPSS Score 0.0017 37.7th percentile
Risk Priority 9 60% EPSS · 20% KEV · 20% CVSS

Summary

CVE-2025-3907 is a medium-severity CSRF (CWE-352) vulnerability in Drunkenmonkey Search Api Solr. Its CVSS base score is 4.3 (Medium).

Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 37.7th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.

EU & UK References

Vulnerability details

Cross-Site Request Forgery (CSRF) vulnerability in Drupal Search API Solr allows Cross Site Request Forgery.This issue affects Search API Solr: from 0.0.0 before 4.3.9.

CWE(s)

Related Threats

MITRE ATT&CK Enterprise TechniquesAI

T1190 Exploit Public-Facing Application Initial Access
Adversaries may attempt to exploit a weakness in an Internet-facing host or system to initially access a network.
Why these techniques?

CSRF vulnerability in Drupal Search API Solr module enables exploitation of public-facing web applications to perform unauthorized configuration changes (e.g., Solr settings) on behalf of authenticated site administrators.

Affected Assets

drunkenmonkey
search api solr
≤ 4.3.9

Mitigating Controls

Likely Mitigating Controls AI

Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.

addresses: CWE-352

Awareness training educates users on avoiding untrusted links and actions that can be exploited via CSRF.

addresses: CWE-352

Requiring user re-entry of credentials for sensitive actions prevents automated forgery of requests without active user participation.

addresses: CWE-352

Security testing regimens explicitly include checks for missing or ineffective anti-CSRF protections in web applications.

addresses: CWE-352

Detects anomalous request patterns consistent with cross-site request forgery.

References