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Apache Ambari, versions 1.4.0 to 2.6.1, is susceptible to a directory traversal attack allowing an unauthenticated user to craft an HTTP request which provides read-only access to any file on the filesystem of the host the Ambari Server runs on that is accessible by the user the Ambari Server is running as. Direct network access to the Ambari Server is required to issue this request, and those Ambari Servers that are protected behind a firewall, or in a restricted network zone are at less risk of being affected by this issue.
In Ambari 2.2.2 through 2.4.2 and Ambari 2.5.0, sensitive data may be stored on disk in temporary files on the Ambari Server host. The temporary files are readable by any user authenticated on the host.
In Ambari 2.4.x (before 2.4.3) and Ambari 2.5.0, an authorized user of the Ambari Hive View may be able to gain unauthorized read access to files on the host where the Ambari server executes.
During installation of Ambari 2.4.0 through 2.4.2, Ambari Server artifacts are not created with proper ACLs.
Apache Ambari 2.x before 2.4.0 includes KDC administrator passwords on the kadmin command line, which allows local users to obtain sensitive information via a process listing.
In Ambari 1.2.0 through 2.2.2, it may be possible to execute arbitrary system commands on the Ambari Server host while generating SSL certificates for hosts in an Ambari cluster.
Custom commands may be executed on Ambari Agent (2.4.x, before 2.4.2) hosts without authorization, leading to unauthorized access to operations that may affect the underlying system. Such operations are invoked by the Ambari Agent process on Ambari Agent hosts, as the user executing the Ambari Agent process.
The File Browser View in Apache Ambari before 2.2.1 allows remote authenticated administrators to read arbitrary files via a file: URL in the WebHDFS URL configuration.
The agent in Apache Ambari before 2.1.2 uses weak permissions for the (1) /var/lib/ambari-agent/data and (2) /var/lib/ambari-agent/keys directories, which allows local users to obtain sensitive information by reading files in the directories.
Apache Ambari before 2.1, as used in IBM Infosphere BigInsights 4.x before 4.1, stores a cleartext BigSheets password in a configuration file, which allows local users to obtain sensitive information by reading this file.
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