Cyber Resilience

CVE-2015-10116

Medium

Published: 06 June 2023

Published
06 June 2023
Modified
21 November 2024
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 0.0016 37.2th percentile
Risk Priority 9 60% EPSS · 20% KEV · 20% CVSS

Summary

CVE-2015-10116 is a medium-severity CSRF (CWE-352) vulnerability in Realfavicongenerator Favicon By Realfavicongenerator. Its CVSS base score is 4.3 (Medium).

Operationally, ranked at the 37.2th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.

EU & UK References

Vulnerability details

A vulnerability classified as problematic has been found in RealFaviconGenerator Favicon Plugin up to 1.2.12 on WordPress. This affects the function install_new_favicon of the file admin/class-favicon-by-realfavicongenerator-admin.php. The manipulation leads to cross-site request forgery. It is possible to initiate the attack…

more

remotely. Upgrading to version 1.2.13 is able to address this issue. The identifier of the patch is 949a1ae7216216350458844f50a72f100b56d4e7. It is recommended to upgrade the affected component. The identifier VDB-230661 was assigned to this vulnerability.

CWE(s)

Related Threats

No named actor attribution yet. ATT&CK technique mapping in progress for this CVE.

Affected Assets

realfavicongenerator
favicon by realfavicongenerator
≤ 1.2.12

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