Cisco Prime Infrastructure/EPNM SQLi via Authenticated Web UI
CVE-2023-20271 Published on January 17, 2024

A vulnerability in the web-based management interface of Cisco Prime Infrastructure and Cisco Evolved Programmable Network Manager (EPNM) could allow an authenticated, remote attacker to conduct SQL injection attacks on an affected system. This vulnerability is due to improper validation of user-submitted parameters. An attacker could exploit this vulnerability by authenticating to the application and sending malicious requests to an affected system. A successful exploit could allow the attacker to obtain and modify sensitive information that is stored in the underlying database.

NVD

Vulnerability Analysis

CVE-2023-20271 can be exploited with network access, and requires small amount of user privileges. This vulnerability is considered to have a low attack complexity. The potential impact of an exploit of this vulnerability is considered to have a high impact on confidentiality, with no impact on integrity and availability.

Attack Vector:
NETWORK
Attack Complexity:
LOW
Privileges Required:
LOW
User Interaction:
NONE
Scope:
UNCHANGED
Confidentiality Impact:
HIGH
Integrity Impact:
NONE
Availability Impact:
NONE

Weakness Type

What is a SQL Injection Vulnerability?

The software 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.

CVE-2023-20271 has been classified to as a SQL Injection vulnerability or weakness.


Products Associated with CVE-2023-20271

You can be notified by email with stack.watch whenever vulnerabilities like CVE-2023-20271 are published in these products:

Cisco Prime Infrastructure
 
Cisco Evolved Programmable Network Manager
 

Affected Versions

Cisco Prime Infrastructure: Cisco Evolved Programmable Network Manager (EPNM):

Exploit Probability

EPSS
0.09%
Percentile
25.04%

EPSS (Exploit Prediction Scoring System) scores estimate the probability that a vulnerability will be exploited in the wild within the next 30 days. The percentile shows you how this score compares to all other vulnerabilities.