CVE-2025-20141

March 12, 2025, 4:15 p.m.

7.4
High

Description

A vulnerability in the handling of specific packets that are punted from a line card to a route processor in Cisco IOS XR Software Release 7.9.2 could allow an unauthenticated, adjacent attacker to cause control plane traffic to stop working on multiple Cisco IOS XR platforms.  This vulnerability is due to incorrect handling of packets that are punted to the route processor. An attacker could exploit this vulnerability by sending traffic, which must be handled by the Linux stack on the route processor, to an affected device. A successful exploit could allow the attacker to cause control plane traffic to stop working, resulting in a denial of service (DoS) condition.

Product(s) Impacted

Vendor Product Versions
Cisco
  • Ios Xr
  • 7.9.2

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-770
Allocation of Resources Without Limits or Throttling
The product allocates a reusable resource or group of resources on behalf of an actor without imposing any restrictions on the size or number of resources that can be allocated, in violation of the intended security policy for that actor.

*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
a cisco ios_xr 7.9.2 / / / / / / /

CVSS Score

7.4 / 10

CVSS Data - 3.1

  • Attack Vector: ADJACENT_NETWORK
  • Attack Complexity: LOW
  • Privileges Required: NONE
  • Scope: CHANGED
  • Confidentiality Impact: NONE
  • Integrity Impact: NONE
  • Availability Impact: HIGH
  • CVSS:3.1/AV:A/AC:L/PR:N/UI:N/S:C/C:N/I:N/A:H

    View Vector String

Timeline

Published: March 12, 2025, 4:15 p.m.
Last Modified: March 12, 2025, 4:15 p.m.

Status : Awaiting Analysis

CVE has been marked for Analysis. Normally once in this state the CVE will be analyzed by NVD staff within 24 hours.

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.