Apache Hadoop 3.0
Apache Hadoop 3.0
The Apache Hadoop 3.0 reached end of service life on Jun 10, 2018 — Apache Hadoop no longer ships security patches or fixes for it. Our third-party support keeps it safe to run: 24/7 engineers manage issues, remediate vulnerabilities, and help you maintain compliance.
24/7 engineers own your Apache Hadoop 3.0 incidents end to end.
Mitigation and patch-around guidance when the vendor no longer ships fixes.
Controls evidence and documentation that keep auditors satisfied.
Specifications
- product
- apache-hadoop
- release
- 3.0
- product Label
- Apache Hadoop
- release Label
- 3.0
- codename
- lts
- latest Version
- 3.0.3
- release Date
- 2017-12-18
- maintained
- source Url
- https://endoflife.date/apache-hadoop
Lifecycle Dates
- End of Service Life
- Jun 10, 2018
- Last OEM Support
- Jun 10, 2018
OEM vs. 3rd Party Support
See how third-party support compares to the vendor contract for Apache Hadoop 3.0 — monitoring, break/fix, vulnerability work, operations and compliance, before and after EOSL.
| Feature | OEM Support | 3rd Party Support |
|---|---|---|
| Post-EOSL Support | ||
| Break/Fix Support | Until EOSL | |
| 24/7 Monitoring | ||
| Vulnerability Scanning & Remediation | ||
| Managed Operations | ||
| Procedure & Configuration Review | ||
| Compliance & Audit Documentation | Limited | |
| Discounted Migration to Other Platforms |
Why Choose 3rd Party Support for Apache Hadoop 3.0?
Vulnerability Remediation
Scanning, mitigation and patch-around guidance for Apache Hadoop 3.0 when the vendor no longer ships fixes.
Compliance Maintenance
Procedure review, controls evidence and the documentation auditors ask for — maintained continuously, not scrambled at audit time.
24/7 Expert Support
Engineers who know this release monitor, manage and fix issues around the clock — break/fix to managed operations.
Apache Hadoop 3.0 Support: Frequently Asked Questions
Is the Apache Hadoop 3.0 still supported?
Apache Hadoop ended support for the Apache Hadoop 3.0 on Jun 10, 2018 — no more patches or fixes from the vendor. Third-party support keeps it covered: our engineers manage issues, remediate vulnerabilities, and help you maintain compliance for as long as you run it.
When is the Apache Hadoop 3.0 end of service life (EOSL) date?
Apache Hadoop lists the end of service life for the Apache Hadoop 3.0 as Jun 10, 2018.
Can I keep using the Apache Hadoop 3.0 after its EOSL date?
Yes. EOSL means Apache Hadoop stops issuing patches and support — the software itself keeps running. Third-party support covers it from there: issue management, security vulnerability remediation, and the compliance documentation auditors ask for, for as long as you choose to run it.
How much does third-party support for the Apache Hadoop 3.0 cost?
Typically 40-70% below the OEM maintenance renewal price. Exact pricing depends on quantity, service level and location — request a quote and we respond within 24 hours.
Known Vulnerabilities Affecting Apache Hadoop 3.0
16 published CVEs affect the Apache Hadoop 3.0, including 14 rated critical or high severity. Apache Hadoop no longer ships security patches for this release — our engineers provide mitigation guidance, workarounds and hardening support.
| CVE | Severity | CVSS | Published | Summary |
|---|---|---|---|---|
| CVE-2022-25168 | CRITICAL | 9.8 | Aug 4, 2022 | 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, bein |
| CVE-2021-37404 | CRITICAL | 9.8 | Jun 13, 2022 | 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-2022-26612 | CRITICAL | 9.8 | Apr 7, 2022 | 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, getCanonicalP |
| CVE-2021-25642 | HIGH | 8.8 | Aug 25, 2022 | 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 | HIGH | 8.8 | Jun 15, 2022 | 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-2020-9492 | HIGH | 8.8 | Jan 26, 2021 | 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. |
| CVE-2018-11764 | HIGH | 8.8 | Oct 21, 2020 | 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-2018-8029 | HIGH | 8.8 | May 30, 2019 | 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. |
| CVE-2018-8009 | HIGH | 8.8 | Nov 13, 2018 | 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. |
| CVE-2017-3166 | HIGH | 7.8 | Nov 13, 2017 | 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. |
| CVE-2018-11765 | HIGH | 7.5 | Sep 30, 2020 | 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. |
| CVE-2018-11768 | HIGH | 7.5 | Oct 4, 2019 | 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. |
| CVE-2018-1296 | HIGH | 7.5 | Feb 7, 2019 | 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. |
| CVE-2017-7669 | HIGH | 7.5 | Jun 5, 2017 | 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-2017-15713 | MEDIUM | 6.5 | Jan 19, 2018 | 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. |
| CVE-2024-23454 | MEDIUM | 6.2 | Sep 25, 2024 | 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 users. |