CVE-2025-20272

July 17, 2025, 9:15 p.m.

4.3
Medium

Description

A vulnerability in a subset of REST APIs of Cisco Prime Infrastructure and Cisco Evolved Programmable Network Manager (EPNM) could allow an authenticated, low-privileged, remote attacker to conduct a blind SQL injection attack. This vulnerability is due to insufficient validation of user-supplied input. An attacker could exploit this vulnerability by sending a crafted request to an affected API. A successful exploit could allow the attacker to view data in some database tables on an affected device.

Product(s) Impacted

Vendor Product Versions
Cisco
  • Prime Infrastructure
  • Evolved Programmable Network Manager
  • *
  • *

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-89
Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')
The product constructs all or part of an SQL command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended SQL command when it is sent to a downstream component.

*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 prime_infrastructure / / / / / / / /
a cisco evolved_programmable_network_manager / / / / / / / /

CVSS Score

4.3 / 10

CVSS Data - 3.1

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

    View Vector String

Timeline

Published: July 16, 2025, 5:15 p.m.
Last Modified: July 17, 2025, 9:15 p.m.

Status : Awaiting Analysis

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.