A newly disclosed vulnerability, tracked as CVE-2025-27522, has been found in Apache InLong, a broadly used real-time information streaming platform. The Apache InLong vulnerability introduces the potential for distant code execution (RCE).
The vulnerability impacts Apache InLong variations 1.13.0 by 2.1.0, making a variety of deployments doubtlessly weak. In accordance with the official Apache security advisory, the flaw outcomes from the deserialization of untrusted information throughout JDBC verification processing, permitting attackers to take advantage of how serialized Java objects are dealt with.
The Nature of the Apache InLong Vulnerability (CVE-2025-27522)
Designated as CVE-2025-27522, this vulnerability is classed as reasonable in severity, but its potential influence on manufacturing environments is much from trivial. It serves as a secondary mining bypass for a beforehand disclosed vulnerability, CVE-2024-26579.
This explicit vulnerability stems from insecure dealing with of serialized data in InLong’s JDBC element. When information is obtained throughout JDBC verification, Apache InLong fails to adequately sanitize or validate the contents earlier than deserializing them. Malicious actors might exploit this hole to ship specifically crafted payloads, which, when deserialized, might set off unauthorized habits corresponding to file manipulation or arbitrary code execution.
Official Disclosure and Technical Perception
The vulnerability was disclosed by security researchers referred to as yulate and m4x, and was formally printed in a message by Charles Zhang to Apache’s developer mailing listing on Wednesday, Might 28. In accordance with Apache, affected customers ought to instantly improve to InLong model 2.2.0 or apply the repair included in GitHub Pull Request #11732.
The CVE entry for CVE-2025-27522 might be discovered within the official CVE database. Apache’s GitHub repository contains detailed documentation of the difficulty and the remediation steps taken within the patch. The patch, merged by contributor dockerzhang on February 9, addressed delicate parameter bypasses throughout JDBC processing.
Security Implications and Exploitation Risk
While no public proof-of-concept or reports of active exploitation have surfaced, the vulnerability is considered network-exploitable and does not require user interaction, which elevates the risk. The Common Weakness Enumeration (CWE) identifier assigned to this flaw is CWE-502: Deserialization of Untrusted Data—a well-known class of vulnerabilities that has historically led to severe security breaches.
In accordance with Apache, the CVSS v3.1 base rating for CVE-2025-27522 ranges between 5.3 and 6.5, indicating a reasonable to excessive severity stage. Given its potential for enabling distant code execution, even reasonable CVSS scores warrant critical consideration.
Beneficial Mitigation Steps
To mitigate the Apache InLong vulnerability:
- Improve to Apache InLong 2.2.0 instantly.
- Alternatively, apply the cherry-picked patch #11732 from the Apache GitHub repository.
- Limit sources of serialized information and implement enter validation and sanitization on all information that could be deserialized.
- Monitor methods for indicators of suspicious deserialization habits or unauthorized activity.
A pattern safe deserialization code snippet for Java may help cut back related risks in customized implementations:
Conclusion
CVE-2025-27522 highlights how deserialization vulnerabilities can goal enterprise methods. Given Apache InLong’s position in managing large-scale information ingestion and distribution, any safety flaw, particularly one that might result in remote code execution, requires fast and decisive motion. Safety groups ought to prioritize making use of the patch or upgrading to Apache InLong 2.2.0, whereas additionally reinforcing general deserialization protections throughout their utility stack.
Associated
Media Disclaimer: This report is predicated on inside and exterior analysis obtained by varied means. The knowledge supplied is for reference functions solely, and customers bear full duty for his or her reliance on it. The Cyber Express assumes no legal responsibility for the accuracy or penalties of utilizing this info.
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