CVE-2025-20151

May 7, 2025, 6:15 p.m.

4.3
Medium

Description

A vulnerability in the implementation of the Simple Network Management Protocol Version 3 (SNMPv3) feature of Cisco IOS Software and Cisco IOS XE Software could allow an authenticated, remote attacker to poll an affected device using SNMP, even if the device is configured to deny SNMP traffic from an unauthorized source or the SNMPv3 username is removed from the configuration. This vulnerability exists because of the way that the SNMPv3 configuration is stored in the Cisco IOS Software and Cisco IOS XE Software startup configuration. An attacker could exploit this vulnerability by polling an affected device from a source address that should have been denied. A successful exploit could allow the attacker to perform SNMP operations from a source that should be denied. Note: The attacker has no control of the SNMPv3 configuration. To exploit this vulnerability, the attacker must have valid SNMPv3 user credentials. For more information, see the section of this advisory.

Product(s) Impacted

Vendor Product Versions
Cisco
  • Ios
  • Ios Xe
  • *
  • *

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-16
None
None

*CPE(s)

Affected systems and software identified for this CVE.

Type Vendor Product Version Update Edition Language Software Edition Target Software Target Hardware Other Information
o cisco ios / / / / / / / /
o cisco ios_xe / / / / / / / /

CVSS Score

4.3 / 10

CVSS Data - 3.1

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Privileges Required: LOW
  • Scope: UNCHANGED
  • Confidentiality Impact: NONE
  • Integrity Impact: LOW
  • Availability Impact: NONE
  • CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:L/A:N

    View Vector String

Timeline

Published: May 7, 2025, 6:15 p.m.
Last Modified: May 7, 2025, 6:15 p.m.

Status : Received

CVE has been recently published to the CVE List and has been received by the NVD.

More info

Source

psirt@cisco.com

*Disclaimer: Some vulnerabilities do not have an associated CPE. To enhance the data, we use AI to infer CPEs based on CVE details. This is an automated process and might not always be accurate.