Apache Hadoop Vulnerability Exposes Systems Potential Crashes or Data Corruption

A moderate-severity vulnerability affects the Hadoop Distributed File System (HDFS) native client. Exploitation could allow attackers to trigger system crashes or corrupt critical data through maliciously crafted URI inputs.

The vulnerability, tracked as CVE-2025-27821, affects Apache Hadoop versions 3.2.0 through 3.4.1. Stems from an out-of-bounds write flaw in the URI parser of the HDFS native client.

This security weakness enables attackers to write data beyond allocated memory boundaries, potentially leading to application crashes, denial-of-service (DoS) attacks, or data corruption.

Technical Impact

The out-of-bounds write vulnerability occurs when the native HDFS client processes specially crafted Uniform Resource Identifiers (URIs).

By exploiting improper bounds checking in the URI parsing logic, attackers can cause the application to write data to unintended memory locations.

This type of memory corruption vulnerability can result in unpredictable system behavior, including service disruptions and potential data integrity issues.

Organizations using HDFS native clients for distributed storage operations face particular risk, as compromised file system operations could affect data reliability across clustered environments.

The vulnerability was discovered and reported by security researcher BUI Ngoc Tan, who received credit for responsible disclosure.

Affected Systems and Mitigation

The vulnerability impacts all Apache Hadoop deployments running versions 3.2.0 through 3.4.1 that utilize the hadoop-hdfs-native-client component.

Apache has classified this as a moderate-severity issue, internally tracked as HDFS-17754. Apache has released Hadoop version 3.4.2 with patches that address the URI parsing flaw.

Organizations are strongly recommended to upgrade to version 3.4.2 immediately to eliminate the vulnerability.

System administrators should prioritize patching HDFS native client installations, particularly in production environments that handle sensitive data or run mission-critical workloads.

According to SecLists advisory, for organizations unable to patch immediately, implement network-level controls to restrict URI inputs.

Monitoring HDFS client logs for unusual parsing errors or crashes can temporarily reduce risk until the upgrade is completed.

The disclosure follows Apache’s standard vulnerability coordination procedures, with full technical details available through the official Apache Hadoop security advisory and CVE database.

Disclaimer: HackersRadar reports on cybersecurity threats and incidents for informational and awareness purposes only. We do not engage in hacking activities, data exfiltration, or the hosting or distribution of stolen or leaked information. All content is based on publicly available sources.