Apache Spark Spoofing Vulnerability

Apache Spark is a large-scale data processing engine that supports acyclic data streaming and in-memory computation. Apache Spark versions 1.0.0 through 2.1.2, 2.2.0 through 2.2.1, and 2.3.0 have a spoofing vulnerability in the implementation. When running PySpark and SparkR, a local attacker can...

Apache Spark Cross-Site Scripting Vulnerability (CNVD-2018-15536)

Apache Spark is a large-scale data processing engine that supports acyclic data streams and in-memory computing from the Apache Software Foundation. A cross-site scripting vulnerability exists in the UI of Apache Spark versions 1.0.0 through 2.1.2, 2.2.0 through 2.2.1, and 2.3.0. A remote attacke...

Cross-Site Scripting (XSS)

spark-core is vulnerable to cross-site scripting XSS. An attacker is able to inject arbitrary script into a user's browser by constructing a URL that points to a Spark cluster's job and stage information pages. When exploited, an attacker is able to steal the user's credentials or information fro...

eskapade-spark (>=0.8.0 <=0.8.2), pytispark (>=1.0.0rc2 <=1.0.1) potentially affected by CVE-2018-1334 via pyspark (=2.1.2)

pyspark PYPI version =2.1.2 is affected by a known vulnerability. The following packages have a transitive dependency on pyspark and may be impacted: - eskapade-spark =0.8.0, =1.0.0rc2, =1.0.1 Source cves: CVE-2018-1334 Source advisory: OSV:PYSEC-2018-25...

CVE-2018-1334

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...

Code injection

In Apache Spark 2.1.0 to 2.1.2, 2.2.0 to 2.2.1, and 2.3.0, it's possible for a malicious user to construct a URL pointing to a Spark cluster's UI's job and stage info pages, and if a user can be tricked into accessing the URL, can be used to cause script to execute and expose information from the...

PYSEC-2018-25

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...

PYSEC-2018-25

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...

CVE-2018-1334

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...

CVE-2018-8024

In Apache Spark 2.1.0 to 2.1.2, 2.2.0 to 2.2.1, and 2.3.0, it's possible for a malicious user to construct a URL pointing to a Spark cluster's UI's job and stage info pages, and if a user can be tricked into accessing the URL, can be used to cause script to execute and expose information from the...

Code injection

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...

CVE-2018-8024

In Apache Spark 2.1.0 to 2.1.2, 2.2.0 to 2.2.1, and 2.3.0, it's possible for a malicious user to construct a URL pointing to a Spark cluster's UI's job and stage info pages, and if a user can be tricked into accessing the URL, can be used to cause script to execute and expose information from the...

CVE-2018-8024

In Apache Spark 2.1.0 to 2.1.2, 2.2.0 to 2.2.1, and 2.3.0, it's possible for a malicious user to construct a URL pointing to a Spark cluster's UI's job and stage info pages, and if a user can be tricked into accessing the URL, can be used to cause script to execute and expose information from the...

CVE-2018-1334

Apache Spark up to version 2.3.0 (affected: 1.0.0–2.1.2, 2.2.0–2.2.1, 2.3.0) is vulnerable to an impersonation flaw when using PySpark or SparkR that lets a different local user connect to a Spark application and impersonate the Spark user. The issue is confirmed across multiple sources (e.g., SU...

CVE-2018-8024

Apache Spark UI cross-site scripting (CVE-2018-8024) affects Spark UI before 2.3.2, including 2.1.0–2.1.2, 2.2.0–2.2.1, and 2.3.0. A malicious user can craft a URL to the Spark UI’s /jobs/ endpoint; if a user visits the URL, JavaScript can execute in the victim’s browser within the Spark UI conte...

CVE-2018-1334

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...

spark: Absolute and relative pathnames allow for unintended static file disclosure

In Spark before 2.7.2, a remote attacker can read unintended static files via various representations of absolute or relative pathnames, as demonstrated by file: URLs and directory traversal sequences. NOTE: this product is unrelated to Ignite Realtime Spark...

Security Bulletin: Multiple vulnerabilities in IBM Java SDK affect IBM Development Package for Apache Spark

Summary There are multiple vulnerabilities in IBM® SDK Java™ Technology Edition, Version 8.0 that is provided with IBM Development Package for Apache Spark. These issues are disclosed as part of the IBM Java SDK updates in October 2016. The IBM Development Package for Apache Spark has addressed t...

spark.co.nz XSS vulnerability

Open Bug Bounty ID: OBB-633863 Description| Value ---|--- Affected Website:| spark.co.nz Open Bug Bounty Program:| Create your bounty program now. It's open and free. Vulnerable Application:| Custom Code Vulnerability Type:| XSS Cross Site Scripting / CWE-79 CVSSv3 Score:| 6.1...

Security Bulletin: Vulnerability in Apache Commons FileUpload DiskFileItem File Manipulation affects IBM Spectrum Conductor with Spark 2.2.0 (CVE-2016-1000031)

Summary A security vulnerability relating to remote code execution CVE-2016-1000031 has been reported against Apache Commons FileUpload DiskFileItem File Manipulation, which IBM Spectrum Conductor with Spark 2.2.0 uses as a framework for some services. Commons FileUpload 1.3.3 addresses this...