CVE-2026-41041 Apache Software Foundation CVE debrief

Who should care

Users of Apache Gravitino from version 1.0.0 to before 1.2.1 should be aware of this vulnerability and take necessary actions to protect their systems. This includes reviewing and adjusting configurations to prevent unencoded user-supplied identifiers and monitoring for suspicious activity related to URL path injection. Operators, platform administrators, vulnerability management teams, and security teams should review the official advisory and CVE record to understand the affected scope and severity.

Technical summary

The vulnerability is a URL path injection via unencoded user-supplied identifiers in Apache Gravitino. This issue affects Apache Gravitino: from 1.0.0 before 1.2.1. The vulnerability allows attackers to inject malicious URLs, potentially leading to unauthorized access or data breaches. Users are recommended to upgrade to version 1.2.1, which fixes the issue. The NVD entry and CVE record provide limited information about the vulnerability, and defenders should review the official advisory for Apache Gravitino to understand the vulnerability details and recommended actions.

Defensive priority

Medium

Recommended defensive actions

• Upgrade to Apache Gravitino version 1.2.1 or later
• Review and adjust configurations to prevent unencoded user-supplied identifiers
• Monitor for suspicious activity related to URL path injection
• Review compensating controls for exposed systems while remediation is scheduled and verified
• Check relevant monitoring, detection, and logs for exposed assets that need extra review

Evidence notes

The CVE record was published on 2026-07-13T10:16:28.803Z and has not been modified since then. The NVD entry is currently Received. There is limited information available about the vulnerability, and defenders should verify the affected scope and severity with the official CVE record and NVD entry. Users should review the official advisory for Apache Gravitino to understand the vulnerability details and recommended actions.

Sources and references

Methodology and review provenance

AI-assisted synthesis based on stored public vulnerability evidence. System validation, approval state, and publication status do not by themselves establish human review of this revision. PatchSiren helps prioritize defensive review and does not prove exposure or remediation on any system.