CVE-2024-20444

Oct. 8, 2024, 3:26 p.m.

5.5
Medium

Description

A vulnerability in Cisco Nexus Dashboard Fabric Controller (NDFC), formerly Cisco Data Center Network Manager (DCNM), could allow an authenticated, remote attacker with network-admin privileges to perform a command injection attack against an affected device.   This vulnerability is due to insufficient validation of command arguments. An attacker could exploit this vulnerability by submitting crafted command arguments to a specific REST API endpoint. A successful exploit could allow the attacker to overwrite sensitive files or crash a specific container, which would restart on its own, causing a low-impact denial of service (DoS) condition.

Product(s) Impacted

Vendor Product Versions
Cisco
  • Nexus Dashboard Fabric Controller
  • *

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-88
Improper Neutralization of Argument Delimiters in a Command ('Argument Injection')
The product constructs a string for a command to be executed by a separate component in another control sphere, but it does not properly delimit the intended arguments, options, or switches within that command string.

*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 nexus_dashboard_fabric_controller / / / / / / / /

CVSS Score

5.5 / 10

CVSS Data - 3.1

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

    View Vector String

Timeline

Published: Oct. 2, 2024, 5:15 p.m.
Last Modified: Oct. 8, 2024, 3:26 p.m.

Status : Analyzed

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

More info

Source

ykramarz@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.