CVE-2024-23448 in APM Server
Summary
by MITRE • 02/08/2024
An issue was discovered whereby APM Server could log at ERROR level, a response from Elasticsearch indicating that indexing the document failed and that response would contain parts of the original document. Depending on the nature of the document that the APM Server attempted to ingest, this could lead to the insertion of sensitive or private information in the APM Server logs.
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Analysis
by VulDB Data Team • 03/02/2024
The vulnerability identified as CVE-2024-23448 represents a critical logging security flaw within the APM Server component of Elastic Stack systems. This issue manifests when the APM Server encounters failures during document indexing operations with Elasticsearch, resulting in error-level log entries that inadvertently capture portions of the original documents being processed. The vulnerability stems from insufficient sanitization of error responses before logging, creating a scenario where sensitive data may be exposed through log files that are typically accessible to system administrators and monitoring tools.
The technical implementation of this vulnerability involves the APM Server's error handling mechanism failing to properly filter or redact sensitive information from Elasticsearch response messages. When indexing operations fail, the server logs the complete error response from Elasticsearch, which may contain raw document data including personally identifiable information, confidential business data, or other sensitive content. This occurs because the logging subsystem does not perform adequate data sanitization before writing error messages to disk or console output. The flaw is particularly concerning given that APM Server operates in production environments where logs are frequently monitored, analyzed, and may be retained for extended periods, creating persistent exposure windows for sensitive data.
From an operational impact perspective, this vulnerability creates significant risk for organizations utilizing Elastic APM solutions, as it directly violates data protection principles and regulatory compliance requirements. The exposure of sensitive data through log files can lead to data breaches, compliance violations under regulations such as gdpr, hipaa, or pci dss, and potential legal consequences. Attackers who gain access to APM Server logs could extract confidential information from the indexed documents, including user credentials, personal identification numbers, financial data, or proprietary business information. The vulnerability affects organizations across various industries including healthcare, finance, and e-commerce where sensitive data handling is paramount and where log files often serve as primary data repositories for forensic analysis and compliance auditing.
The security implications of CVE-2024-23448 align with CWE-200 (Information Exposure) and CWE-532 (Insertion of Sensitive Information into Log File) categories, representing a classic case of improper data sanitization in logging operations. This vulnerability can be leveraged by attackers following the techniques described in the MITRE ATT&CK framework under T1562.006 (Impair Defenses - Log Deletion) and T1070.004 (Indicator Removal on Host - File Deletion) when combined with access to system logs. Organizations should implement immediate mitigations including log file access controls, regular log auditing, and data loss prevention monitoring to detect potential exposure of sensitive information. The recommended remediation involves updating APM Server to versions that properly sanitize error responses before logging, implementing log filtering mechanisms, and establishing comprehensive data classification policies for monitoring and protecting sensitive information within logging infrastructure.
The broader implications extend beyond immediate data exposure, as this vulnerability demonstrates the critical importance of proper logging security practices in distributed systems. Organizations must ensure that all components within their monitoring and observability stack implement robust data sanitization before any logging operations occur. This includes not only APM Server but also other components that may interact with external systems and generate error responses containing sensitive data. The vulnerability serves as a reminder that logging security should be treated with the same rigor as application security, as log files often serve as the primary attack surface for data exfiltration and forensic analysis by both malicious actors and authorized personnel with elevated privileges.