Apache Hadoop’s RunJar.run() does not set permissions for temporary directory by default. If sensitive data will be present in this file, all the other local users may be able to view the content. This is because, on unix-like systems, the system temporary directory is shared between all local users. As such, files written in this directory, without setting the correct posix permissions explicitly, may be viewable by all other local …
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 …
There is a potential heap buffer overflow in Apache Hadoop libhdfs native code. Opening a file path provided by user without validation may result in a denial of service or arbitrary code execution. Users should upgrade to Apache Hadoop 2.10.2, 3.2.3, 3.3.2 or higher.
Apache Hadoop 0.23.x before 0.23.11 and 2.x before 2.4.1, as used in Cloudera CDH 5.0.x before 5.0.2, do not check authorization for the (1) refreshNamenodes, (2) deleteBlockPool, and (3) shutdownDatanode HDFS admin commands, which allows remote authenticated users to cause a denial of service (DataNodes shutdown) or perform unnecessary operations by issuing a command.
The RPC protocol implementation in Apache Hadoop 2.x before 2.0.6-alpha, 0.23.x before 0.23.9, and 1.x before 1.2.1, when the Kerberos security features are enabled, allows man-in-the-middle attackers to disable bidirectional authentication and obtain sensitive information by forcing a downgrade to simple authentication.
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.
Apache Hadoop 2.6.x encrypts intermediate data generated by a MapReduce job and stores it along with the encryption key in a credentials file on disk when the Intermediate data encryption feature is enabled, which allows local users to obtain sensitive information by reading the file.
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.
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.
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 …
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.
A user who can escalate to yarn user can possibly run arbitrary commands as root user.
Apache Hadoop is exploitable via the zip slip vulnerability in locations that accept a zip file.
Vulnerability in Apache Hadoop 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.
In Apache Hadoop, the LinuxContainerExecutor runs docker commands as root with insufficient input validation. When the docker feature is enabled, authenticated users can run commands as root.