Cyber Resilience

CVE-2022-20961

High

Published: 04 November 2022

Published
04 November 2022
Modified
21 November 2024
KEV Added
Patch
CVSS Score v3.1 8.8 CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
EPSS Score 0.0030 53.9th percentile
Risk Priority 18 60% EPSS · 20% KEV · 20% CVSS

Summary

CVE-2022-20961 is a high-severity CSRF (CWE-352) vulnerability in Cisco Identity Services Engine. Its CVSS base score is 8.8 (High).

Operationally, ranked in the top 46.1% of CVEs by exploit likelihood; 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 Identity Services Engine (ISE) could allow an unauthenticated, remote attacker to conduct a cross-site request forgery (CSRF) attack and perform arbitrary actions on an affected device. This vulnerability is due to…

more

insufficient CSRF protections for the web-based management interface of an affected device. An attacker could exploit this vulnerability by persuading a user of the interface to follow a crafted link. A successful exploit could allow the attacker to perform arbitrary actions on the affected device with the privileges of the target user.

CWE(s)

Related Threats

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

Affected Assets

cisco
identity services engine
2.6.0, 2.7.0, 3.0.0, 3.1 · ≤ 2.6.0

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