In Splunk Enterprise versions below 10.2.2, 10.0.5, 9.4.10, and 9.3.11, as well as Splunk Cloud Platform versions below 10.4.2603.0, 10.3.2512.6, 10.2.2510.10, 10.1.2507.19, 10.0.2503.13, and 9.3.2411.127, a low-privileged user that does not hold the `admin` or `power` Splunk roles can manipulate Data Model Acceleration settings due to improper access control. This vulnerability allows unauthorized users to turn on or off Data Model Acceleration, which can lead to integrity issues within the application.
The CVSS score for this vulnerability is 4.3, classified as medium severity. This score reflects the potential impact a successful exploit could have on the integrity of the affected system, as low-privileged users could inadvertently or maliciously alter data acceleration settings.
Risk to organizations includes unauthorized data manipulation, which could compromise the reliability of analytics and reporting functions critical to business operations. Given the nature of the vulnerability, it is important for organizations utilizing affected Splunk products to address this issue promptly.
Organizations should prioritize patching immediately to mitigate the risk associated with this vulnerability. It is crucial to review user role assignments and limit write permissions, particularly for low-privileged users.
Vulnerability Details
This vulnerability allows low-privileged users to alter Data Model Acceleration settings due to improper access control. The vulnerability is classified under CWE-284, which pertains to improper access control vulnerabilities.
The affected versions include multiple releases of Splunk Enterprise and Splunk Cloud Platform, emphasizing the widespread potential impact on organizations utilizing these products.
Technical Analysis
The root cause of this vulnerability stems from inadequate access controls within Splunk's architecture. Low-privileged users are inadvertently granted write permissions on applications, allowing them to enable or disable Data Model Acceleration without proper authorization.
The attack vector for this vulnerability is network-based, meaning that an attacker needs network access to the Splunk instance to exploit the vulnerability. The attack complexity is low, requiring minimal effort from an attacker to exploit the vulnerability.
No user interaction is required to exploit this vulnerability, and the privileges required to exploit it are low, making it more accessible for potential attackers. The impact on confidentiality is none, while the integrity impact is considered low, as unauthorized changes to data model settings could affect data accuracy.
Risk & Impact Analysis
Real-world deployment risk is significant, as unauthorized changes to Data Model Acceleration settings could lead to incorrect data analysis and reporting. This could mislead decision-makers relying on accurate data insights for strategic planning.
The blast radius for this vulnerability extends to all users with write access in affected Splunk versions, emphasizing the need for organizations to review user permissions and role assignments.
Given the CVSS score of 4.3, organizations should address this vulnerability in their priority patch cycle to ensure the integrity of their data management systems.
Exploitation Status
Signal | Status |
|---|---|
Known Exploit | No |
Public PoC | No |
Actively Exploited | No |
Ransomware Use | No |
Affected Versions
The affected versions of Splunk Enterprise are those below 10.2.2, 10.0.5, 9.4.10, and 9.3.11. For Splunk Cloud Platform, the vulnerable versions are below 10.4.2603.0, 10.3.2512.6, 10.2.2510.10, 10.1.2507.19, 10.0.2503.13, and 9.3.2411.127.
Mitigation & Remediation
Organizations should apply the latest patches provided by Splunk to remediate this vulnerability. It is critical to upgrade to the latest versions that address this issue.
In cases where immediate patching is not possible, organizations should consider implementing stricter access controls and auditing user permissions to prevent unauthorized manipulation of Data Model Acceleration settings.
For more information on security assessments, organizations can utilize services such as application security assessments to identify and address vulnerabilities in their systems.
Detection Guidance
To detect potential exploitation of this vulnerability, organizations should monitor logs for unusual changes in Data Model Acceleration settings and track user actions that involve write permissions.
Behavioral anomalies in user activities, particularly those involving low-privileged users, should be flagged for further investigation.
AppSecure Threat Intelligence Insight
The long-term significance of this vulnerability highlights the importance of stringent access control measures within applications like Splunk. Organizations must ensure that low-privileged users are not given permissions that could compromise the integrity of data processing.
This incident illustrates a common trend in application security, where improper access configurations can lead to vulnerabilities that affect data integrity. Security teams should learn from this case to prevent similar issues in their environments.
To enhance their security posture, organizations should consider investing in red teaming services to simulate real-world attacks and identify weaknesses in their defenses.
Additionally, organizations should engage in regular penetration testing to ensure that their security measures are effective against emerging threats.
Ultimately, adopting a proactive security strategy is essential for mitigating risks associated with vulnerabilities such as CVE-2026-20203.
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.
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