IBM DataPower Gateway 10.x CSRF Vulnerability (10.5.0-10.6.5)
CVE-2025-36375 Published on April 1, 2026

IBM DataPower Gateway vulnerable to CSRF
IBM DataPower Gateway 10.6CD 10.6.1.0 through 10.6.5.0 and IBM DataPower Gateway 10.5.0 10.5.0.0 through 10.5.0.20 and IBM DataPower Gateway 10.6.0 10.6.0.0 through 10.6.0.8 IBM DataPower Gateway is vulnerable to cross-site request forgery which could allow an attacker to execute malicious and unauthorized actions transmitted from a user that the website trusts.

Vendor Advisory NVD

Vulnerability Analysis

CVE-2025-36375 can be exploited with network access, requires user interaction. This vulnerability is considered to have a low attack complexity. The potential impact of an exploit of this vulnerability is considered to have no impact on confidentiality, a high impact on integrity, and no impact on availability.

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

Weakness Type

What is a Session Riding Vulnerability?

The web application does not, or can not, sufficiently verify whether a well-formed, valid, consistent request was intentionally provided by the user who submitted the request. When a web server is designed to receive a request from a client without any mechanism for verifying that it was intentionally sent, then it might be possible for an attacker to trick a client into making an unintentional request to the web server which will be treated as an authentic request. This can be done via a URL, image load, XMLHttpRequest, etc. and can result in exposure of data or unintended code execution.

CVE-2025-36375 has been classified to as a Session Riding vulnerability or weakness.


Products Associated with CVE-2025-36375

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Affected Versions

IBM DataPower Gateway 10.6CD: IBM DataPower Gateway 10.5.0: IBM DataPower Gateway 10.6.0:

Exploit Probability

EPSS
0.02%
Percentile
3.67%

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.