CVE-2022-33891

Apache Spark Command Injection Vulnerability

Severity Score

8.8

*CVSS v3.1

Exploit Likelihood

*EPSS

Affected Versions

*CPE

Public Exploits

*Multiple Sources

Exploited in Wild

Yes

*KEV

Decision

*SSVC

Descriptions

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 perform impersonation by providing an arbitrary user name. A malicious user might then be able to reach a permission check function that will ultimately build a Unix shell command based on their input, and execute it. This will result in arbitrary shell command execution as the user Spark is currently running as. This affects Apache Spark versions 3.0.3 and earlier, versions 3.1.1 to 3.1.2, and versions 3.2.0 to 3.2.1.

La interfaz de usuario de Apache Spark ofrece la posibilidad de habilitar ACLs por medio de la opción de configuración spark.acls.enable. Con un filtro de autenticación, es comprobado si un usuario presenta permisos de acceso para ver o modificar la aplicación. Si las ACLs están habilitadas, una ruta de código en HttpSecurityFilter puede permitir que alguien lleve a cabo una suplantación de identidad proporcionando un nombre de usuario arbitrario. Un usuario malicioso podría entonces ser capaz de llegar a una función de comprobación de permisos que finalmente construirá un comando de shell Unix basado en su entrada, y lo ejecutará. Esto resultará en la ejecución de un comando shell arbitrario como el usuario con el que Spark se está ejecutando actualmente. Esto afecta a las versiones de Apache Spark 3.0.3 y anteriores, a las versiones 3.1.1 a 3.1.2 y a las versiones 3.2.0 a 3.2.1

Apache Spark contains a command injection vulnerability via Spark User Interface (UI) when Access Control Lists (ACLs) are enabled.

*Credits: Kostya Kortchinsky (Databricks)

CVSS Scores

NISTv3.1 8.8

Attack Vector

Network

Attack Complexity

Low

Privileges Required

Low

User Interaction

None

Scope

Unchanged

Confidentiality

High

Integrity

High

Availability

High

* Common Vulnerability Scoring System

SSVC

Decision:-

Exploitation

Automatable

Tech. Impact

* Organization's Worst-case Scenario

Timeline

2022-06-17 CVE Reserved
2022-07-18 CVE Published
2022-07-18 First Exploit
2023-03-07 Exploited in Wild
2023-03-28 KEV Due Date
2024-08-03 CVE Updated
2024-09-10 EPSS Updated

CWE

CWE-78: Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection')

CAPEC

References (11)

URL	Tag	Source
http://www.openwall.com/lists/oss-security/2023/05/02/1	Mailing List
https://lists.apache.org/thread/p847l3kopoo5bjtmxrcwk21xp6tjxqlc	Mailing List
https://attackerkb.com/topics/5FyKBES4BL/cve-2022-33891

URL	Date	SRC
https://github.com/west-wind/CVE-2022-33891	2022-07-21
https://github.com/AmoloHT/CVE-2022-33891	2022-08-01
https://github.com/Vulnmachines/Apache-spark-CVE-2022-33891	2022-08-30
https://github.com/IMHarman/CVE-2022-33891	2023-09-15
https://github.com/DrLinuxOfficial/CVE-2022-33891	2022-08-13
https://github.com/K3ysTr0K3R/CVE-2022-33891-EXPLOIT	2024-02-22
http://packetstormsecurity.com/files/168309/Apache-Spark-Unauthenticated-Command-Injection.html	2024-08-03
https://raw.githubusercontent.com/rapid7/metasploit-framework/master/modules/exploits/linux/http/apache_spark_rce_cve_2022_33891.rb	2022-07-18

URL	Date	SRC

URL	Date	SRC

Affected Vendors, Products, and Versions

Vendor		Product				Version		Other		Status
Vendor	Product	Version	Other	Status	<-- -->	Vendor	Product	Version	Other	Status
Apache Search vendor "Apache"		Spark Search vendor "Apache" for product "Spark"				<= 3.0.3 Search vendor "Apache" for product "Spark" and version " <= 3.0.3"		-		Affected
Apache Search vendor "Apache"		Spark Search vendor "Apache" for product "Spark"				>= 3.1.1 <= 3.1.2 Search vendor "Apache" for product "Spark" and version " >= 3.1.1 <= 3.1.2"		-		Affected
Apache Search vendor "Apache"		Spark Search vendor "Apache" for product "Spark"				>= 3.2.0 <= 3.2.1 Search vendor "Apache" for product "Spark" and version " >= 3.2.0 <= 3.2.1"		-		Affected