Cyber Resilience

CVE-2025-20195

Medium

Published: 07 May 2025

Published
07 May 2025
Modified
11 July 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 0.0023 46.1th percentile
Risk Priority 9 60% EPSS · 20% KEV · 20% CVSS

Summary

CVE-2025-20195 is a medium-severity CSRF (CWE-352) vulnerability in Cisco Ios Xe. Its CVSS base score is 4.3 (Medium).

Operationally, ranked at the 46.1th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.

EU & UK References

Vulnerability details

A vulnerability in the web-based management interface of Cisco IOS XE Software could allow an unauthenticated, remote attacker to perform a CSRF attack and execute commands on the CLI of an affected device. This vulnerability is due to insufficient CSRF…

more

protections for the web-based management interface of an affected device. An attacker could exploit this vulnerability by persuading an already authenticated user to follow a crafted link. A successful exploit could allow the attacker to clear the syslog, parser, and licensing logs on the affected device if the targeted user has privileges to clear those logs.

CWE(s)

Related Threats

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

Affected Assets

cisco
ios xe
16.1.1, 16.1.2, 16.1.3, 16.10.1, 16.10.1a

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