PT-2019-4410

Name of the Vulnerable Software and Affected Versions Apache Spark versions 1.x, 2.0.x, 2.1.x, 2.2.0 through 2.2.2, 2.3.0 through 2.3.1 Description The issue is related to insufficient access control in the PySpark interface of the Apache Spark framework. This can allow an attacker to elevate the...

Apache Spark RPC Protocol deserialization vulnerability analysis-vulnerability warning-the black bar safety net

Front a burst of Spark official release of the title for the CVE-2018-17190: Unsecured Apache Spark standalone executes user code of the security Bulletin. The announcement indicated the vulnerability affects version to full version, and does not indicate a repaired version, only the relevant...

Cisco Webex Teams Cisco Spark URI Handler Remote Command Execution Vulnerability

This vulnerability allows remote attackers to execute arbitrary code on vulnerable installations of Webex Cisco Spark. User interaction is required to exploit this vulnerability in that the target must visit a malicious web page. There is an issue with the way the product handles URIs within...

PT-2018-12866

Name of the Vulnerable Software and Affected Versions ZTE Blade Vantage Android device with a build fingerprint of ZTE/Z839/sweet:7.1.1/NMF26V/20180120.095344:user/release-keys ZTE Blade Spark Android device with a build fingerprint of ZTE/Z971/peony:7.1.1/NMF26V/20171129.143111:user/release-keys...

CVE-2018-14995: Insertion of Sensitive Information into Log File

The ZTE Blade Vantage Android device with a build fingerprint of ZTE/Z839/sweet:7.1.1/NMF26V/20180120.095344:user/release-keys, the ZTE Blade Spark Android device with a build fingerprint of ZTE/Z971/peony:7.1.1/NMF26V/20171129.143111:user/release-keys, the ZTE ZMAX Pro Android device with a buil...

Security Bulletin: A security vulnerability has been identified in Apache Spark shipped with IBM Operations Analytics Predictive Insights (CVE-2018-17190)

Summary There is a vulnerability in Apache Spark®, Version 2.0.1 that is used by IBM Operations Analytics Predictive Insights 1.3.6. IBM Operations Analytics Predictive Insights has addressed the applicable CVE. Vulnerability Details CVEID: CVE-2018-17190 DESCRIPTION: Apache Spark could allow a...

Apache Spark - Unauthenticated Command Execution Exploit

This Metasploit module exploits an unauthenticated command execution vulnerability in Apache Spark with standalone cluster mode through the REST API. It uses the function CreateSubmissionRequest to submit a malicious java class and triggers it. This module requires Metasploit:...

Apache Spark - (Unauthenticated) Command Execution (Metasploit)

This module requires Metasploit: https://metasploit.com/download Current source: https://github.com/rapid7/metasploit-framework class MetasploitModule 'Apache Spark Unauthenticated Command Execution', 'Description' = %q This module exploits an unauthenticated command execution vulnerability in...

Apache Spark Unauthenticated Command Execution

This module requires Metasploit: https://metasploit.com/download Current source: https://github.com/rapid7/metasploit-framework class MetasploitModule 'Apache Spark Unauthenticated Command Execution', 'Description' = %q This module exploits an unauthenticated command execution vulnerability in...

Remote Code Execution in spark-core

In all versions of Apache Spark, its standalone resource manager accepts code to execute on a 'master' host, that then runs that code on 'worker' hosts. The master itself does not, by design, execute user code. A specially-crafted request to the master can, however, cause the master to execute co...

GHSA-PHG2-9C5G-M4Q7 Remote Code Execution in spark-core

In all versions of Apache Spark, its standalone resource manager accepts code to execute on a 'master' host, that then runs that code on 'worker' hosts. The master itself does not, by design, execute user code. A specially-crafted request to the master can, however, cause the master to execute co...

Apache Spark Remote Code Execution Vulnerability

Apache Spark is a large-scale data processing engine that supports acyclic data streaming and in-memory computing from the Apache Software Foundation. A security vulnerability exists in Apache Spark. An attacker can exploit the vulnerability by sending a specially crafted request to execute code ...

CVE-2018-17190

In all versions of Apache Spark, its standalone resource manager accepts code to execute on a 'master' host, that then runs that code on 'worker' hosts. The master itself does not, by design, execute user code. A specially-crafted request to the master can, however, cause the master to execute co...

Authentication flaw

In all versions of Apache Spark, its standalone resource manager accepts code to execute on a 'master' host, that then runs that code on 'worker' hosts. The master itself does not, by design, execute user code. A specially-crafted request to the master can, however, cause the master to execute co...

CVE-2018-17190

In all versions of Apache Spark, its standalone resource manager accepts code to execute on a 'master' host, that then runs that code on 'worker' hosts. The master itself does not, by design, execute user code. A specially-crafted request to the master can, however, cause the master to execute co...

CVE-2018-17190

CVE-2018-17190 affects Apache Spark’s standalone resource manager. A specially crafted request can cause the master to execute code on worker nodes, even though the master is not intended to run user code. This vulnerability is described as not affecting standalone clusters with authentication en...

CVE-2018-17190

In all versions of Apache Spark, its standalone resource manager accepts code to execute on a 'master' host, that then runs that code on 'worker' hosts. The master itself does not, by design, execute user code. A specially-crafted request to the master can, however, cause the master to execute co...

CVE-2018-17190

In all versions of Apache Spark, its standalone resource manager accepts code to execute on a 'master' host, that then runs that code on 'worker' hosts. The master itself does not, by design, execute user code. A specially-crafted request to the master can, however, cause the master to execute co...

CVE-2018-17190: Undefined Security Weakness

In all versions of Apache Spark, its standalone resource manager accepts code to execute on a 'master' host, that then runs that code on 'worker' hosts. The master itself does not, by design, execute user code. A specially-crafted request to the master can, however, cause the master to execute co...

PT-2018-3338

Name of the Vulnerable Software and Affected Versions: Apache Spark versions prior to a version with authentication enabled for standalone clusters Description: The issue is related to the standalone resource manager in Apache Spark, which can execute user code on 'worker' hosts but is not design...