Exploit for OS Command Injection in Apache Spark

cve-2022-33891 Usage: python pip3 install requests If yo...

OS Command Injection

Apache Spark is vulnerable to OS command injection. The vulnerability exists it is possible to impersonate using an arbitrary user name if ACL is enabled, allowing an attacker to provide malicious input to build and execute a Unix shell command arbitrarily...

CVE-2022-33891

The Apache Spark UI offers the possibility to enable ACLs via the configuration option spark.acls.enable. With an authentication filter, this checks whether a user has access permissions to view or modify the application. If ACLs are enabled, a code path in HttpSecurityFilter can allow someone to...

Command injection

The Apache Spark UI offers the possibility to enable ACLs via the configuration option spark.acls.enable. With an authentication filter, this checks whether a user has access permissions to view or modify the application. If ACLs are enabled, a code path in HttpSecurityFilter can allow someone to...

PYSEC-2022-236

The Apache Spark UI offers the possibility to enable ACLs via the configuration option spark.acls.enable. With an authentication filter, this checks whether a user has access permissions to view or modify the application. If ACLs are enabled, a code path in HttpSecurityFilter can allow someone to...

PYSEC-2022-236

The Apache Spark UI offers the possibility to enable ACLs via the configuration option spark.acls.enable. With an authentication filter, this checks whether a user has access permissions to view or modify the application. If ACLs are enabled, a code path in HttpSecurityFilter can allow someone to...

CVE-2022-33891

Summary: CVE-2022-33891 is a command-injection vulnerability in the Apache Spark UI when ACLs are enabled. A code path in HttpSecurityFilter can impersonate by supplying an arbitrary username, leading to an arbitrary shell command being executed as the Spark process user. Affected versions includ...

Apache Spark 操作系统操作系统命令注入漏洞

Apache Spark is a large-scale data processing engine that supports acyclic data streaming and in-memory computing from the Apache Foundation. Apache Spark suffers from a command injection vulnerability that can be exploited by an attacker to cause arbitrary shell commands to be executed as the us...

CVE-2022-33891 Apache Spark shell command injection vulnerability via Spark UI

The Apache Spark UI offers the possibility to enable ACLs via the configuration option spark.acls.enable. With an authentication filter, this checks whether a user has access permissions to view or modify the application. If ACLs are enabled, a code path in HttpSecurityFilter can allow someone to...

Apache Spark Command Injection Vulnerability

Apache Spark is a large-scale data processing engine that supports acyclic data streaming and in-memory computing from the Apache Foundation. Apache Spark suffers from a command injection vulnerability that can be exploited by an attacker to cause arbitrary shell commands to be executed as the us...

CVE-2022-33891

The Apache Spark UI offers the possibility to enable ACLs via the configuration option spark.acls.enable. With an authentication filter, this checks whether a user has access permissions to view or modify the application. If ACLs are enabled, a code path in HttpSecurityFilter can allow someone to...

CVE-2022-33891 Apache Spark shell command injection vulnerability via Spark UI

The Apache Spark UI offers the possibility to enable ACLs via the configuration option spark.acls.enable. With an authentication filter, this checks whether a user has access permissions to view or modify the application. If ACLs are enabled, a code path in HttpSecurityFilter can allow someone to...

CVE-2022-33891 Apache Spark shell command injection vulnerability via Spark UI

The Apache Spark UI offers the possibility to enable ACLs via the configuration option spark.acls.enable. With an authentication filter, this checks whether a user has access permissions to view or modify the application. If ACLs are enabled, a code path in HttpSecurityFilter can allow someone to...

[SECURITY] Fedora 35 Update: golang-github-apache-beam-2-2.33.0~RC1-7.fc35

Apache Beam is a unified model for defining both batch and streaming data-parallel processing pipelines, as well as a set of language-specific SDKs for constructing pipelines and Runners for executing them on distributed processing backends, including Apache Flink, Apache Spark, Google Cloud...

[SECURITY] Fedora 36 Update: golang-github-apache-beam-2-2.33.0~RC1-7.fc36

Apache Beam is a unified model for defining both batch and streaming data-parallel processing pipelines, as well as a set of language-specific SDKs for constructing pipelines and Runners for executing them on distributed processing backends, including Apache Flink, Apache Spark, Google Cloud...

ai.grakn:client-java (=1.3.0), ai.grakn:grakn-bootup (>=1.1.0 <=v1.1.0-226-g847ecff2d8e26f249422247d7665fe15f07b1744) +565 more potentially affected by CVE-2018-11804 via org.apache.spark:spark-core_2.10 (>=1.3.0 <=2.1.3)

org.apache.spark:spark-core2.10 MAVEN version =1.3.0, =1.1.0, =0.7.0, =0.12.0, =1.2.0, =0.12.0, =1.0.0, =1.0.0, =0.10.0, =0.15.0, =0.6.1, =0.17.0, =1.1.0 and more Source cves: CVE-2018-11804 Source advisory: OSV:GHSA-62G2-M955-V383https://vulners.com/osv/OSV:GHSA-62G2-M955-V3...

Improper Input Validation in Apache Spark

Spark's Apache Maven-based build includes a convenience script, 'build/mvn', that downloads and runs a zinc server to speed up compilation. It has been included in release branches since 1.3.x, up to and including master. This server will accept connections from external hosts by default. A...

OESA-2022-1591 spark security update

Apache Spark achieves high performance for both batch and streaming data, using a state-of-the-art DAG scheduler, a query optimizer, and a physical execution engine. Security Fixes: Apache Spark supports end-to-end encryption of RPC connections via "spark.authenticate" and...

Information Disclosure

org.apache.spark:spark-hive-thriftserver2.12 is vulnerable to information disclosure. The vulnerability allows someone to decrypt plaintext traffic offline because the library uses a bespoke mutual authentication protocol that allows for full encryption key recovery resulting in disclosure of...

GHSA-9RR6-JPG7-9JG6 Authentication Bypass by Capture-replay in Apache Spark

Apache Spark supports end-to-end encryption of RPC connections via "spark.authenticate" and "spark.network.crypto.enabled". In versions 3.1.2 and earlier, it uses a bespoke mutual authentication protocol that allows for full encryption key recovery. After an initial interactive attack, this would...