CVE-2026-103371 in Geode
Summary
by MITRE • 10/07/2026
Insertion of Sensitive Information into Log File in Apache Geode Web Management.
This issue affects Apache Geode: from 2.0.0 before 2.0.3.
Users are recommended to upgrade to version 2.0.3, which fixes the issue.
If you want to get best quality of vulnerability data, you may have to visit VulDB.
Analysis
by VulDB Data Team • 10/07/2026
The vulnerability identified as an insertion of sensitive information into log files within the Apache Geode Web Management interface represents a significant data exposure risk for organizations relying on this distributed caching and data virtualization platform. This flaw specifically impacts versions ranging from 2.0.0 up to, but not including, version 2.0.3. The core issue stems from inadequate sanitization or filtering mechanisms within the logging subsystem of the web management component, which is responsible for providing a graphical user interface for cluster administration and monitoring. When administrators interact with this interface or when automated processes generate logs related to administrative actions, sensitive data such as authentication credentials, internal network topology details, or proprietary application state information may be inadvertently written to log files without proper redaction or encryption.
From a technical perspective, the flaw aligns closely with CWE-532, which is defined as the insertion of sensitive information into log files for execution. In many enterprise environments, log files are aggregated by centralized logging systems like Splunk, ELK Stack, or SIEM solutions to facilitate security monitoring and incident response. However, if these logs contain plaintext secrets or personally identifiable information due to this vulnerability, they become a high-value target for attackers who have gained access to the logging infrastructure. This scenario is particularly dangerous because log files are often stored with less stringent access controls than application databases or configuration files, assuming that their primary purpose is operational debugging rather than data storage. Consequently, an attacker with read access to these logs can extract credentials or sensitive architectural details without needing to exploit additional vulnerabilities in the application logic itself.
The operational impact of this vulnerability extends beyond simple credential theft. It facilitates broader reconnaissance and lateral movement within a compromised network environment. By analyzing the leaked information, adversaries can map out the internal structure of the Apache Geode cluster, identify critical nodes, and potentially use extracted credentials to authenticate into other systems that share trust relationships with the affected service. This aligns with MITRE ATT&CK technique T1078, Valid Accounts, as well as T1530, Data from Local System, where attackers exfiltrate data stored on local devices or logs for later analysis and exploitation. The presence of sensitive data in logs also violates principles outlined in OWASP guidelines regarding secure logging practices, which mandate that all log entries must be free of sensitive information such as passwords, credit card numbers, or social security numbers to prevent accidental disclosure through standard operational channels.
Mitigation strategies primarily involve upgrading the Apache Geode installation to version 2.0.3 or later, where this specific issue has been resolved by implementing stricter input validation and output encoding within the logging module of the Web Management component. Organizations should immediately audit their current log files for any instances of exposed sensitive data resulting from previous operations on vulnerable versions. It is also recommended to implement robust access controls around log file storage locations, ensuring that only authorized personnel or automated security tools with appropriate clearance can read these logs. Furthermore, adopting a defense-in-depth approach by integrating secret management solutions and enforcing strict logging policies that filter out high-risk patterns before they are written to disk will help prevent similar issues in future software versions or other components within the infrastructure.