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

8.8HIGH

Key Information:

Vendor
Apache
Vendor
CVE Published:
18 July 2022

Badges

👾 Exploit Exists🟡 Public PoC🟣 EPSS 97%🦅 CISA Reported

Summary

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.

CISA Reported

CISA provides regional cyber and physical services to support security and resilience across the United States. CISA monitor the most dangerious vulnerabilities and have identifed as being exploited but is not known by the CISA to be used in ransomware campaigns. This is subject to change at pace

The CISA's recommendation is: Apply updates per vendor instructions.

Affected Version(s)

Apache Spark 3.0.3 and earlier <= 3.0.3

Apache Spark 3.1.1 to 3.1.2 <= 3.1.2

Apache Spark 3.2.0 to 3.2.1 <= 3.2.1

Exploit Proof of Concept (PoC)

PoC code is written by security researchers to demonstrate the vulnerability can be exploited. PoC code is also a key component for weaponization which could lead to ransomware.

References

EPSS Score

97% chance of being exploited in the next 30 days.

CVSS V3.1

Score:
8.8
Severity:
HIGH
Confidentiality:
High
Integrity:
High
Availability:
High
Attack Vector:
Network
Attack Complexity:
Low
Privileges Required:
Low
User Interaction:
None
Scope:
Unchanged

Timeline

  • 🟡

    Public PoC available

  • 👾

    Exploit known to exist

  • 🦅

    CISA Reported

  • Vulnerability published

  • Vulnerability Reserved

Credit

Kostya Kortchinsky (Databricks)
.