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The vulnerability resides within the native client library of Apache Hadoop HDFS. An out-of-bounds write occurs when the software, while processing specific network protocols or file operations, writes data past the end, or before the beginning, of an allocated buffer in memory. This flaw is typically triggered by improper bounds checking on user-supplied input before writing it to a fixed-size heap-based buffer. An attacker could craft a malicious HDFS request or a corrupted file block location report, causing the client to miscalculate memory allocation sizes or write indexes. This leads to corruption of adjacent heap metadata and application data, potentially allowing for arbitrary code execution in the context of the HDFS client process. The exploitation hinges on controlling the length and content of data written to the compromised buffer, enabling the overwrite of critical function pointers or return addresses.
DailyCVE Form:
Platform: Apache Hadoop
Version: 3.2.0-3.4.1
Vulnerability: Memory Corruption
Severity: High
Date: 2026-01-26
Prediction: Patch Available
What Undercode Say:
Analytics:
`ldd /path/to/libhdfs.so`
`strings libhdfs.so | grep -i “version”`
`nm -D libhdfs.so | grep -E “(memcpy|strncpy)”`
Sample vulnerable pseudo-code snippet:
int parse_datanode_report(char input, size_t len) {
char buffer[bash];
// Missing bounds check on 'len'
memcpy(buffer, input, len); // OOB write if len > 256
...
}
How Exploit:
Craft malicious datanode payload.
Trigger client block report.
Overwrite heap metadata.
Achieve code execution.
Protection from this CVE:
Upgrade to 3.4.2.
Input validation patches.
Network segmentation enforcement.
Impact:
Remote Code Execution.
Denial of Service.
Client compromise.
🎯Let’s Practice Exploiting & Learn Patching For Free:
Sources:
Reported By: github.com
Extra Source Hub:
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