Information Disclosure

Apache Spark is vulnerable to information disclosures. The library logs SSL passwords when being passed from the command line interface to the executor processes. A malicious user with access to the logs can gain access to the SSL password...

PT-2018-18896

Name of the Vulnerable Software and Affected Versions Apache Spark versions prior to 2.7.2 Description 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. Recommendations...

HELK: one with the advanced analysis capabilities of vulnerability discovery platform-vulnerability warning-the black bar safety net

Today to introduce to you is a guy named HELK a tool, it is a superior analytical capability of Hunting ELK（Elasticsearch, Logstash, Kibana is. ! Target 1. To the security community to provide a free vulnerability Hunting platform, and shared some basic security threats and vulnerability discover...

Apache Spark Unauthenticated Command Execution

This module exploits an unauthenticated command execution vulnerability in Apache Spark with standalone cluster mode through REST API. It uses the function CreateSubmissionRequest to submit a malious java class and trigger it. Module Options msf use exploit/linux/http/spark/unauthrce msf...

Apache Spark Deserialization Program Code Execution Vulnerability

Apache Spark is a large-scale data processing engine that supports acyclic data streams and in-memory computing from the Apache Software Foundation. A security vulnerability exists in Apache Spark versions 1.6.0 through 2.1.1, which stems from the program's failure to securely deserialize data. A...

CVE-2017-12612

In Apache Spark 1.6.0 until 2.1.1, the launcher API performs unsafe deserialization of data received by its socket. This makes applications launched programmatically using the launcher API potentially vulnerable to arbitrary code execution by an attacker with access to any user account on the loc...

Deserialization of untrusted data

In Apache Spark 1.6.0 until 2.1.1, the launcher API performs unsafe deserialization of data received by its socket. This makes applications launched programmatically using the launcher API potentially vulnerable to arbitrary code execution by an attacker with access to any user account on the loc...

PYSEC-2017-147

In Apache Spark 1.6.0 until 2.1.1, the launcher API performs unsafe deserialization of data received by its socket. This makes applications launched programmatically using the launcher API potentially vulnerable to arbitrary code execution by an attacker with access to any user account on the loc...

PYSEC-2017-147

In Apache Spark 1.6.0 until 2.1.1, the launcher API performs unsafe deserialization of data received by its socket. This makes applications launched programmatically using the launcher API potentially vulnerable to arbitrary code execution by an attacker with access to any user account on the loc...

CVE-2017-12612

In Apache Spark 1.6.0 until 2.1.1, the launcher API performs unsafe deserialization of data received by its socket. This makes applications launched programmatically using the launcher API potentially vulnerable to arbitrary code execution by an attacker with access to any user account on the loc...

CVE-2017-12612

CVE-2017-12612 affects Apache Spark 1.6.0 through 2.1.1. The root cause is unsafe deserialization in the launcher API over the socket, allowing code execution by an attacker with access to the local user account running the Spark application. The vulnerability does not apply to apps started via s...

CVE-2017-12612

In Apache Spark 1.6.0 until 2.1.1, the launcher API performs unsafe deserialization of data received by its socket. This makes applications launched programmatically using the launcher API potentially vulnerable to arbitrary code execution by an attacker with access to any user account on the loc...

CVE-2017-12612

In Apache Spark 1.6.0 until 2.1.1, the launcher API performs unsafe deserialization of data received by its socket. This makes applications launched programmatically using the launcher API potentially vulnerable to arbitrary code execution by an attacker with access to any user account on the loc...

PT-2017-12600

Name of the Vulnerable Software and Affected Versions Apache Spark versions 1.6.0 through 2.1.1 Description The launcher API in Apache Spark performs unsafe deserialization of data received by its socket, making applications launched programmatically using the launcher API potentially vulnerable ...

CVE-2017-12612: Deserialization of Untrusted Data

In Apache Spark 1.6.0 until 2.1.1, the launcher API performs unsafe deserialization of data received by its socket. This makes applications launched programmatically using the launcher API potentially vulnerable to arbitrary code execution by an attacker with access to any user account on the loc...

Apache Spark Cross-Site Scripting Vulnerability

Apache Spark is a large-scale data processing engine that supports acyclic data streams and in-memory computing from the Apache Software Foundation. A security vulnerability exists in Apache Spark versions prior to 2.2.0. The vulnerability can be exploited by an attacker to inject scripts by...

CVE-2017-7678

In Apache Spark before 2.2.0, it is possible for an attacker to take advantage of a user's trust in the server to trick them into visiting a link that points to a shared Spark cluster and submits data including MHTML to the Spark master, or history server. This data, which could contain a script,...

Code injection

In Apache Spark before 2.2.0, it is possible for an attacker to take advantage of a user's trust in the server to trick them into visiting a link that points to a shared Spark cluster and submits data including MHTML to the Spark master, or history server. This data, which could contain a script,...

CVE-2017-7678

In Apache Spark before 2.2.0, it is possible for an attacker to take advantage of a user's trust in the server to trick them into visiting a link that points to a shared Spark cluster and submits data including MHTML to the Spark master, or history server. This data, which could contain a script,...

CVE-2017-7678

CVE-2017-7678 affects Apache Spark up to version 2.2.0, where the web UI may reflect user-supplied data (including MHTML) back to the user. The root cause is improper validation of input by the Spark web UI, allowing an attacker to lure a user into a link pointing to a shared Spark cluster and tr...