SAP Fiori App CSRF: Unintended StateChanging Actions
CVE-2026-0493 Published on January 13, 2026

Cross-Site Request Forgery (CSRF) vulnerability in SAP Fiori App (Intercompany Balance Reconciliation)
Due to a Cross-Site Request Forgery (CSRF) vulnerability in SAP Fiori App Intercompany Balance Reconciliation an attacker could execute state?changing actions using an inappropriate request type, this deviation from expected request semantics may allow an attacker to trigger unintended actions on behalf of an authenticated user causing low impact on integrity of the system. This has no impact on confidentiality and availability.

NVD

Vulnerability Analysis

CVE-2026-0493 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 no impact on confidentiality, with no impact on integrity, and no impact on availability.

Attack Vector:
NETWORK
Attack Complexity:
LOW
Privileges Required:
LOW
User Interaction:
NONE
Scope:
UNCHANGED
Confidentiality Impact:
NONE
Integrity Impact:
LOW
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-2026-0493 has been classified to as a Session Riding vulnerability or weakness.


Affected Versions

SAP_SE SAP Fiori App (Intercompany Balance Reconciliation):

Exploit Probability

EPSS
0.02%
Percentile
4.49%

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.