Vulnerability Description
Apache Hadoop's FileUtil.unTar(File, File) API does not escape the input file name before being passed to the shell. An attacker can inject arbitrary commands. This is only used in Hadoop 3.3 InMemoryAliasMap.completeBootstrapTransfer, which is only ever run by a local user. It has been used in Hadoop 2.x for yarn localization, which does enable remote code execution. It is used in Apache Spark, from the SQL command ADD ARCHIVE. As the ADD ARCHIVE command adds new binaries to the classpath, being able to execute shell scripts does not confer new permissions to the caller. SPARK-38305. "Check existence of file before untarring/zipping", which is included in 3.3.0, 3.1.4, 3.2.2, prevents shell commands being executed, regardless of which version of the hadoop libraries are in use. Users should upgrade to Apache Hadoop 2.10.2, 3.2.4, 3.3.3 or upper (including HADOOP-18136).
CVSS Score
CRITICAL
Affected Products
| Vendor | Product | Versions |
|---|---|---|
| Apache | Hadoop | >= 2.0.0, <= 2.10.1 |
Related Weaknesses (CWE)
References
- https://lists.apache.org/thread/mxqnb39jfrwgs3j6phwvlrfq4mlox130Mailing ListVendor Advisory
- https://security.netapp.com/advisory/ntap-20220915-0007/Third Party Advisory
- https://lists.apache.org/thread/mxqnb39jfrwgs3j6phwvlrfq4mlox130Mailing ListVendor Advisory
- https://security.netapp.com/advisory/ntap-20220915-0007/Third Party Advisory
FAQ
What is CVE-2022-25168?
CVE-2022-25168 is a vulnerability with a CVSS score of 9.8 (CRITICAL). Apache Hadoop's FileUtil.unTar(File, File) API does not escape the input file name before being passed to the shell. An attacker can inject arbitrary commands. This is only used in Hadoop 3.3 InMemory...
How severe is CVE-2022-25168?
CVE-2022-25168 has been rated CRITICAL with a CVSS base score of 9.8/10. This is considered a critical vulnerability requiring immediate attention.
Is there a patch for CVE-2022-25168?
Check the references section above for vendor advisories and patch information. Affected products include: Apache Hadoop.