A flaw was found in Connect2id Nimbus JOSE+JWT prior to version 7.9. While processing JSON web tokens (JWT), nimbus-jose-jwt can throw various uncaught exceptions resulting in an application crash, information disclosure, or authentication bypass. The highest threat from this vulnerability is to data confidentiality and system availability.

Apache Hadoop before 0.23.4, 1.x before 1.0.4, and 2.x before 2.0.2 generate token passwords using a 20-bit secret when Kerberos security features are enabled, which makes it easier for context-dependent attackers to crack secret keys via a brute-force attack.

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.

The YARN NodeManager in Apache Hadoop 2.7.3 and 2.7.4 can leak the password for credential store provider used by the NodeManager to YARN Applications.

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'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).

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

In Apache Hadoop 2.7.4 to 2.7.6, the security fix for CVE-2016-6811 is incomplete. A user who can escalate to yarn user can possibly run arbitrary commands as root user.

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.

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.

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.

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.

A flaw was found in Apache hadoop. The WebHDFS client can send a SPNEGO authorization header to a remote URL without proper verification which could lead to an access restriction bypass. The highest threat from this vulnerability is to data confidentiality and integrity as well as system availability.

A vulnerability has been found in the way developers have implemented the archive extraction of files. An arbitrary file write vulnerability, that can be achieved using a specially crafted zip archive (affects other archives as well, bzip2, tar,xz, war, cpio, 7z), that holds path traversal filenames. So when the filename gets concatenated to the target extraction directory, the final path ends up outside of the target folder. Of course if an executable or a configuration file is overwritten with a file containing malicious code, the problem can turn into an arbitrary code execution issue quite easily. This affects multiple libraries that lacks of a high level APIs that provide the archive extraction functionality.

References: https://snyk.io/research/zip-slip-vulnerability

Patch: https://github.com/apache/hadoop/commit/745f203e577bacb35b042206db94615141fa5e6f#diff-19cfa944d1bb9ce1daa46aa4223f3642

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.

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.

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.

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.

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.

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.

HDFS clients interact with a servlet on the DataNode to browse the HDFS namespace. The NameNode is provided as a query parameter that is not validated in Apache Hadoop before 2.7.0.

In Apache Hadoop versions 3.0.0-alpha2 to 3.0.0, 2.9.0 to 2.9.2, 2.8.0 to 2.8.5, any users can access some servlets without authentication when Kerberos authentication is enabled and SPNEGO through HTTP is not enabled.

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.

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.

Relative library resolution in linux container-executor binary in Apache Hadoop 3.3.1-3.3.4 on Linux allows local user to gain root privileges. If the YARN cluster is accepting work from remote (authenticated) users, this MAY permit remote users to gain root privileges.

Hadoop 3.3.0 updated the " YARN Secure Containers https://hadoop.apache.org/docs/stable/hadoop-yarn/hadoop-yarn-site/SecureContainer.html " to add a feature for executing user-submitted applications in isolated linux containers.

The native binary HADOOPHOME/bin/container-executor is used to launch these containers; it must be owned by root and have the suid bit set in order for the YARN processes to run the containers as the specific users submitting the jobs.

The patch " YARN-10495 https://issues.apache.org/jira/browse/YARN-10495 . make the rpath of container-executor configurable" modified the library loading path for loading .so files from "$ORIGIN/" to ""$ORIGIN/:../lib/native/". This is the a path through which libcrypto.so is located. Thus it is is possible for a user with reduced privileges to install a malicious libcrypto library into a path to which they have write access, invoke the container-executor command, and have their modified library executed as root. If the YARN cluster is accepting work from remote (authenticated) users, and these users' submitted job are executed in the physical host, rather than a container, then the CVE permits remote users to gain root privileges.

The fix for the vulnerability is to revert the change, which is done in YARN-11441 https://issues.apache.org/jira/browse/YARN-11441 , "Revert YARN-10495". This patch is in hadoop-3.3.5.

To determine whether a version of container-executor is vulnerable, use the readelf command. If the RUNPATH or RPATH value contains the relative path "./lib/native/" then it is at risk

$ readelf -d container-executor|grep 'RUNPATH\|RPATH' 0x000000000000001d (RUNPATH)           Library runpath: [$ORIGIN/:../lib/native/]

If it does not, then it is safe:

$ readelf -d container-executor|grep 'RUNPATH\|RPATH' 0x000000000000001d (RUNPATH)           Library runpath: [$ORIGIN/]

For an at-risk version of container-executor to enable privilege escalation, the owner must be root and the suid bit must be set

$ ls -laF /opt/hadoop/bin/container-executor ---Sr-s---. 1 root hadoop 802968 May 9 20:21 /opt/hadoop/bin/container-executor

A safe installation lacks the suid bit; ideally is also not owned by root.

$ ls -laF /opt/hadoop/bin/container-executor -rwxr-xr-x. 1 yarn hadoop 802968 May 9 20:21 /opt/hadoop/bin/container-executor

This configuration does not support Yarn Secure Containers, but all other hadoop services, including YARN job execution outside secure containers continue to work.

Hadoop 1.0.3 contains a symlink vulnerability as a result of storing pid files in the shared /tmp directory by default.

In Apache Hadoop 2.9.0 to 2.9.1, 2.8.3 to 2.8.4, 2.7.5 to 2.7.6, KMS blocking users or granting access to users incorrectly, if the system uses non-default groups mapping mechanisms.

Out-of-bounds Write vulnerability in Apache Hadoop HDFS native client.

This issue affects Apache Hadoop: from 3.2.0 before 3.4.2.

Users are recommended to upgrade to version 3.4.2, which fixes the issue.

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.

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.