CVE-2018-11770

From version 1.3.0 onward, Apache Spark's standalone master exposes a REST API for job submission, in addition to the submission mechanism used by spark-submit. In standalone, the config property 'spark.authenticate.secret' establishes a shared secret for authenticating requests to submit jobs vi...

CVE-2018-11770

From version 1.3.0 onward, Apache Spark's standalone master exposes a REST API for job submission, in addition to the submission mechanism used by spark-submit. In standalone, the config property 'spark.authenticate.secret' establishes a shared secret for authenticating requests to submit jobs vi...

Authentication flaw

From version 1.3.0 onward, Apache Spark's standalone master exposes a REST API for job submission, in addition to the submission mechanism used by spark-submit. In standalone, the config property 'spark.authenticate.secret' establishes a shared secret for authenticating requests to submit jobs vi...

CVE-2018-11770

CVE-2018-11770 affects Apache Spark 1.3.0+ where the standalone master exposes a REST API for job submission that bypasses the configured spark.authenticate.secret. The REST API does not require authentication and, per multiple sources, could allow a user to run a driver program without authentic...

CVE-2018-11770

From version 1.3.0 onward, Apache Spark's standalone master exposes a REST API for job submission, in addition to the submission mechanism used by spark-submit. In standalone, the config property 'spark.authenticate.secret' establishes a shared secret for authenticating requests to submit jobs vi...

The first Spark REST API is not authorized to exploit analysis-exploit warning-the black bar safety net

2018 7 on 7 May, Ali Cloud Security for the first time to capture the Spark REST API unauthorized RCE vulnerability to attack of real samples. 7 on number 9 plays, Ali Cloud Platform has been able to the default of Defense the vulnerability of the large-scale use. This is the first time in...

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...

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...

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...

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...

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...

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...

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...

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-2018-1334

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...