CVE-2025-27821: Apache Software Foundation HDFS native client · Out-of-bounds Write
Affects Apache Software Foundation HDFS native clientSource CVE Database V5
Not known to be exploited · CVSS 7.3 High : upgrade to 3.4.2 soon.
Data as of 25 Oct 2026, 19:02 UTC
- EPSS
- 0.9% chance of exploitation in 30 days – higher than 59% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
- Patch
- Available – fixed in 3.4.2
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:LExploitation evidence
Disclosed: evidence found.
CVE published 26 Jan 2026
Detectable: no evidence on record.
No public nuclei template indexed
Weaponised: no evidence on record.
No public exploit code indexed in Metasploit or Exploit-DB
Exploited in the wildExploited: no evidence on record.
Not in CISA KEV and no source reports exploitation
Observed by OffSeq MirageSeen by Mirage: no evidence on record.
No attack traffic recorded by OffSeq Mirage sensors
A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 2026-10-25.
What to do
Upgrade HDFS native client and Apache Software Foundation/org.apache.hadoop:hadoop-hdfs-native-client to 3.4.2.
Affected software
| Product | Affected | Fixed in |
|---|---|---|
| Apache Software FoundationHDFS native client | Affected
| Fixed in
|
MavenApache Software Foundation/org.apache.hadoop:hadoop-hdfs-native-clientpkg:maven/Apache Software Foundation/org.apache.hadoop:hadoop-hdfs-native-clientOther threats | Affected
| Fixed in
|
Mavenorg.apache.hadoop/hadoop-hdfs-native-clientpkg:maven/org.apache.hadoop/hadoop-hdfs-native-clientOther threats | Affected
| Fixed in– |
Check your own hosts for these packages with threat-finder (opens in a new tab), our free open-source scanner.
AI-suggested
To mitigate this vulnerability, organizations should promptly upgrade all affected Apache Hadoop HDFS native client installations to version 3.4.2 or later, where the issue is resolved. Beyond patching, it is advisable to implement network segmentation to restrict access to Hadoop services, limiting exposure to untrusted networks. Monitoring and logging of HDFS client interactions should be enhanced to detect anomalous behavior indicative of exploitation attempts. Employing runtime memory protection mechanisms such as Address Space Layout Randomization (ASLR) and Data Execution Prevention (DEP) can reduce exploitation success. Additionally, organizations should conduct thorough security assessments of their big data environments, ensuring that only authorized users and systems can interact with Hadoop components. Regular vulnerability scanning and penetration testing focused on big data infrastructure can help identify residual risks. Finally, maintaining an incident response plan tailored to big data platform compromises will improve readiness in case of exploitation.
Description
Out-of-bounds Write vulnerability in Apache Hadoop HDFS native client. This issue affects Apache Hadoop: from 3.2.0 before 3.4.2. Users are recommended to upgrade to version 3.4.2, which fixes the issue.