Pentaho DI & Analytics JNDI ID Bypass (before 10.2.0.2)
CVE-2025-0756 Published on April 16, 2025

Hitachi Vantara Pentaho Data Integration & Analytics - Improper Control of Resource Identifiers ('Resource Injection')
Overview   The product receives input from an upstream component, but it does not restrict or incorrectly restricts the input before it is used as an identifier for a resource that may be outside the intended sphere of control. (CWE-99)   Description   Hitachi Vantara Pentaho Data Integration & Analytics versions before 10.2.0.2, including 9.3.x and 8.3.x, do not restrict JNDI identifiers during the creation of platform data sources.   Impact   An attacker could gain access to or modify sensitive data or system resources. This could allow access to protected files or directories including configuration files and files containing sensitive information, which can lead to remote code execution by unauthorized users.

NVD

Vulnerability Analysis

CVE-2025-0756 is exploitable with network access, and requires user privileges. This vulnerability is considered to have a low attack complexity. The potential impact of an exploit of this vulnerability is considered to be critical as this vulnerability has a high impact to the confidentiality, integrity and availability of this component.

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

Weakness Type

What is an Insecure Direct Object Reference Vulnerability?

The software receives input from an upstream component, but it does not restrict or incorrectly restricts the input before it is used as an identifier for a resource that may be outside the intended sphere of control.

CVE-2025-0756 has been classified to as an Insecure Direct Object Reference vulnerability or weakness.


Affected Versions

Hitachi Vantara Pentaho Data Integration & Analytics:

Exploit Probability

EPSS
0.43%
Percentile
62.82%

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.