CVE ID | Publié | Description | Score | Gravité |
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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). | 9.8 |
Critique |
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In Apache Hadoop 2.2.0 to 2.10.1, 3.0.0-alpha1 to 3.1.4, 3.2.0 to 3.2.2, and 3.3.0 to 3.3.1, a user who can escalate to yarn user can possibly run arbitrary commands as root user. Users should upgrade to Apache Hadoop 2.10.2, 3.2.3, 3.3.2 or higher. | 8.8 |
Haute |
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In Apache Hadoop, The unTar function uses unTarUsingJava function on Windows and the built-in tar utility on Unix and other OSes. As a result, a TAR entry may create a symlink under the expected extraction directory which points to an external directory. A subsequent TAR entry may extract an arbitrary file into the external directory using the symlink name. This however would be caught by the same targetDirPath check on Unix because of the getCanonicalPath call. However on Windows, getCanonicalPath doesn't resolve symbolic links, which bypasses the check. unpackEntries during TAR extraction follows symbolic links which allows writing outside expected base directory on Windows. This was addressed in Apache Hadoop 3.2.3 | 9.8 |
Critique |
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In Apache Hadoop 3.2.0 to 3.2.1, 3.0.0-alpha1 to 3.1.3, and 2.0.0-alpha to 2.10.0, WebHDFS client might send SPNEGO authorization header to remote URL without proper verification. | 8.8 |
Haute |
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In Apache Hadoop 3.1.0 to 3.1.1, 3.0.0-alpha1 to 3.0.3, 2.9.0 to 2.9.1, and 2.0.0-alpha to 2.8.4, the user/group information can be corrupted across storing in fsimage and reading back from fsimage. | 7.5 |
Haute |
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In Apache Hadoop versions 3.0.0-alpha1 to 3.1.0, 2.9.0 to 2.9.1, and 2.2.0 to 2.8.4, a user who can escalate to yarn user can possibly run arbitrary commands as root user. | 8.8 |
Haute |
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In Apache Hadoop 3.0.0-alpha1 to 3.0.0, 2.9.0, 2.8.0 to 2.8.3, and 2.5.0 to 2.7.5, HDFS exposes extended attribute key/value pairs during listXAttrs, verifying only path-level search access to the directory rather than path-level read permission to the referent. | 7.5 |
Haute |
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Apache Hadoop 3.1.0, 3.0.0-alpha to 3.0.2, 2.9.0 to 2.9.1, 2.8.0 to 2.8.4, 2.0.0-alpha to 2.7.6, 0.23.0 to 0.23.11 is exploitable via the zip slip vulnerability in places that accept a zip file. | 8.8 |
Haute |
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Vulnerability in Apache Hadoop 0.23.x, 2.x before 2.7.5, 2.8.x before 2.8.3, and 3.0.0-alpha through 3.0.0-beta1 allows a cluster user to expose private files owned by the user running the MapReduce job history server process. The malicious user can construct a configuration file containing XML directives that reference sensitive files on the MapReduce job history server host. | 6.5 |
Moyen |
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In Apache Hadoop versions 2.6.1 to 2.6.5, 2.7.0 to 2.7.3, and 3.0.0-alpha1, if a file in an encryption zone with access permissions that make it world readable is localized via YARN's localization mechanism, that file will be stored in a world-readable location and can be shared freely with any application that requests to localize that file. | 7.8 |
Haute |
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The YARN NodeManager in Apache Hadoop 2.6.x before 2.6.5 and 2.7.x before 2.7.3 can leak the password for credential store provider used by the NodeManager to YARN Applications. | 9.8 |
Critique |
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This is an information disclosure vulnerability in Apache Hadoop before 2.6.4 and 2.7.x before 2.7.2 in the short-circuit reads feature of HDFS. A local user on an HDFS DataNode may be able to craft a block token that grants unauthorized read access to random files by guessing certain fields in the token. | 5.5 |
Moyen |
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In Apache Hadoop 2.x before 2.7.4, a user who can escalate to yarn user can possibly run arbitrary commands as root user. | 8.8 |
Haute |
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In Apache Hadoop 2.6.x before 2.6.5 and 2.7.x before 2.7.3, a remote user who can authenticate with the HDFS NameNode can possibly run arbitrary commands with the same privileges as the HDFS service. | 8.8 |
Haute |