Total
35 CVE
| CVE | Vendors | Products | Updated | CVSS v2 | CVSS v3 |
|---|---|---|---|---|---|
| CVE-2022-26612 | 2 Apache, Microsoft | 2 Hadoop, Windows | 2023-08-08 | 7.5 HIGH | 9.8 CRITICAL |
| 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 | |||||
| CVE-2021-37404 | 1 Apache | 1 Hadoop | 2023-06-27 | 7.5 HIGH | 9.8 CRITICAL |
| 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. | |||||
| CVE-2022-25168 | 1 Apache | 1 Hadoop | 2023-06-26 | N/A | 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 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). | |||||
| CVE-2021-25642 | 1 Apache | 1 Hadoop | 2023-02-10 | N/A | 8.8 HIGH |
| ZKConfigurationStore which is optionally used by CapacityScheduler of Apache Hadoop YARN deserializes data obtained from ZooKeeper without validation. An attacker having access to ZooKeeper can run arbitrary commands as YARN user by exploiting this. Users should upgrade to Apache Hadoop 2.10.2, 3.2.4, 3.3.4 or later (containing YARN-11126) if ZKConfigurationStore is used. | |||||
| CVE-2021-33036 | 1 Apache | 1 Hadoop | 2022-10-27 | 9.0 HIGH | 8.8 HIGH |
| 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. | |||||
| CVE-2018-11764 | 1 Apache | 1 Hadoop | 2022-06-03 | 9.0 HIGH | 8.8 HIGH |
| Web endpoint authentication check is broken in Apache Hadoop 3.0.0-alpha4, 3.0.0-beta1, and 3.0.0. Authenticated users may impersonate any user even if no proxy user is configured. | |||||
| CVE-2012-2945 | 1 Apache | 1 Hadoop | 2019-10-31 | 5.0 MEDIUM | 7.5 HIGH |
| Hadoop 1.0.3 contains a symlink vulnerability. | |||||
| CVE-2016-3086 | 1 Apache | 1 Hadoop | 2017-09-11 | 5.0 MEDIUM | 9.8 CRITICAL |
| 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. | |||||
| CVE-2017-7669 | 1 Apache | 1 Hadoop | 2017-06-09 | 8.5 HIGH | 7.5 HIGH |
| In Apache Hadoop 2.8.0, 3.0.0-alpha1, and 3.0.0-alpha2, the LinuxContainerExecutor runs docker commands as root with insufficient input validation. When the docker feature is enabled, authenticated users can run commands as root. | |||||
| CVE-2014-0229 | 2 Apache, Cloudera | 2 Hadoop, Cdh | 2017-03-28 | 4.0 MEDIUM | 6.5 MEDIUM |
| 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. | |||||
| CVE-2013-2192 | 1 Apache | 1 Hadoop | 2017-03-24 | 3.2 LOW | N/A |
| 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. | |||||
| CVE-2012-3376 | 1 Apache | 1 Hadoop | 2017-03-24 | 7.5 HIGH | N/A |
| DataNodes in Apache Hadoop 2.0.0 alpha does not check the BlockTokens of clients when Kerberos is enabled and the DataNode has checked out the same BlockPool twice from a NodeName, which might allow remote clients to read arbitrary blocks, write to blocks to which they only have read access, and have other unspecified impacts. | |||||
| CVE-2012-1574 | 2 Apache, Cloudera | 3 Hadoop, Cloudera Cdh, Hadoop | 2017-03-24 | 6.5 MEDIUM | N/A |
| The Kerberos/MapReduce security functionality in Apache Hadoop 0.20.203.0 through 0.20.205.0, 0.23.x before 0.23.2, and 1.0.x before 1.0.2, as used in Cloudera CDH CDH3u0 through CDH3u2, Cloudera hadoop-0.20-sbin before 0.20.2+923.197, and other products, allows remote authenticated users to impersonate arbitrary cluster user accounts via unspecified vectors. | |||||
| CVE-2016-5393 | 1 Apache | 1 Hadoop | 2016-12-01 | 6.5 MEDIUM | 8.8 HIGH |
| 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. | |||||
| CVE-2015-7430 | 1 Apache | 1 Hadoop | 2016-01-07 | 4.6 MEDIUM | 8.4 HIGH |
| The Hadoop connector 1.1.1, 2.4, 2.5, and 2.7.0-0 before 2.7.0-3 for IBM Spectrum Scale and General Parallel File System (GPFS) allows local users to read or write to arbitrary GPFS data via unspecified vectors. | |||||