Chartbrew: MongoDB データセットクエリ経由の Remote Code Execution (RCE)

The RCE vulnerability in Chartbrew's MongoDB dataset query presents a significant security risk. An attacker could inject malicious code into the query, which would then be executed on the server hosting Chartbrew. This could lead to complete system compromise, allowing the attacker to read sensitive data, modify database contents, install malware, or even pivot to other systems on the network. The blast radius extends to any data accessible through the MongoDB connection, potentially including personally identifiable information (PII), financial data, and business-critical information. Successful exploitation could have severe operational and reputational consequences.

Organizations utilizing Chartbrew to visualize data from MongoDB databases are at risk. This includes businesses using Chartbrew for dashboards, reporting, or data analysis. Shared hosting environments where Chartbrew is installed alongside other applications are particularly vulnerable, as a compromise of Chartbrew could potentially impact other hosted services.

• nodejs: Monitor process execution for unusual child processes spawned by the Chartbrew application. Use ps aux | grep chartbrew to identify running processes and their arguments.

ps aux | grep chartbrew

• nodejs: Examine application logs for errors related to MongoDB queries, particularly those containing unexpected characters or patterns. Search for error messages indicating query parsing failures. • generic web: Check access logs for requests containing suspicious MongoDB query parameters. Look for unusually long or complex query strings. • generic web: Review response headers for unexpected content or error codes that might indicate exploitation attempts.

1. 2026-03-06Disclosure

   disclosure

1. 予約済み2026-02-06
2. 公開日2026-03-06
3. EPSS 更新日2026-03-23

The primary mitigation for CVE-2026-25887 is to immediately upgrade Chartbrew to version 4.8.1 or later. If upgrading is not immediately feasible due to compatibility issues or downtime concerns, consider implementing temporary workarounds. Input validation on the MongoDB query parameters is crucial; restrict allowed characters and data types. Web Application Firewalls (WAFs) configured to detect and block malicious query patterns can provide an additional layer of defense. Monitor Chartbrew logs for suspicious activity, particularly unusual query patterns or errors related to MongoDB connections. After upgrading, verify the fix by attempting to execute a crafted malicious query and confirming that it is blocked or handled safely.