CVE-2018-1334PYSEC-2018-25GHSA-6MQQ-8R44-VMJC
In Apache Spark 1.0.0 to 2.1.2, 2.2.0 to 2.2.1, and 2.3.0, when using PySpark or SparkR, it's possible for a different local user to connect
- Published
- Last modified
- Where the record stands: published, rejected by its publisher, or superseded by another id.What do these mean? →
- published
- Whether CISA lists it in its Known Exploited Vulnerabilities catalog: proof that attackers are using it.What do these mean? →
- Not listed in CISA KEV
- Fix
- Fixed in 2.2.2, 2.1.3, 2.3.1
- Whether working attack code is public (Exploit-DB, Metasploit, Nuclei or GitHub). Public code makes attacks easier.What do these mean? →
- None on Exploit-DB, Metasploit or GitHub
Summary
In Apache Spark 1.0.0 to 2.1.2, 2.2.0 to 2.2.1, and 2.3.0, when using PySpark or SparkR, it's possible for a different local user to connect to the Spark application and impersonate the user running the Spark application.
Timeline
- CVE published
- Record last updated
Affected versions
- Apache Software Foundation Apache Spark
1.0.0 to 2.1.2, 2.2.0 to 2.2.1, 2.3.0
- pysparkPyPI
From 2.2.0 · fixed in 2.2.2; fixed in 2.1.3
- org.apache.spark:spark-core_2.10Maven
From 1.0.0 · fixed in 2.1.3
- org.apache.spark:spark-core_2.10Maven
From 2.2.0 · fixed in 2.2.2
- org.apache.spark:spark-core_2.11Maven
From 1.0.0 · fixed in 2.1.3
- org.apache.spark:spark-core_2.11Maven
From 2.2.0 · fixed in 2.2.2
- org.apache.spark:spark-core_2.11Maven
From 2.3.0 · fixed in 2.3.1
- pysparkPyPI
From 2.2.0 · fixed in 2.2.2
- pysparkPyPI
fixed in 2.1.3