Is CVE-2022-33891 (Apache Spark Command Injection) being exploited in the wild?

By NHI Mgmt Group Editorial Team Updated October 19, 2026 Domain: Threats, Abuse & Incident Response

Yes. CISA added CVE-2022-33891 to its Known Exploited Vulnerabilities catalogue on 7 March 2023, which it does only when there is reliable evidence of active exploitation. CISA has not linked it to known ransomware campaigns. Apache Spark contains a command injection vulnerability via Spark User Interface (UI) when Access Control Lists (ACLs) are enabled. Any organisation running the affected product should treat remediation as urgent.

What “Exploited in the Wild” Means for CVE-2022-33891

CVE-2022-33891 should be treated as an active exploitation case, not a theoretical flaw. The practical question is whether your Spark deployment exposes the Spark UI path where command injection is possible when ACLs are enabled, because that is the condition that changes urgency from routine patch planning to immediate containment and remediation.

For a vulnerability like this, “in the wild” matters because it usually means attackers have a reliable path to test, reach, and reuse the weakness at scale. That shifts the response from normal backlog management to exposure verification, rapid fix deployment, and a check for signs that the interface was already abused before remediation.

apache spark command injection belongs in the same operational bucket as other actively exploited web-facing application flaws, where the first decision is not how severe the abstract bug sounds, but whether the affected surface is reachable in your environment. If the Spark UI is internet-accessible, reverse-proxied, or broadly reachable inside a flat network, the exploitation window is larger than many teams assume.

For broader context on this class of weakness, see Web Application Attacks Guide, which covers command injection patterns and related input-handling failures.

How to Judge Exposure and Exposure Scope

The key exposure test is simple: do you actually run Apache Spark, and is the Spark UI enabled in a way that allows the vulnerable request path to be reached? If the answer is yes, confirm whether ACLs are enabled and whether any internal portals, bastion hosts, or forwarding rules make the UI available beyond the team that administers it.

In practice, teams often underestimate exposure because the service is “internal.” That assumption is risky when the same environment contains compromised workstations, shared service subnets, weak segmentation, or developer networks that can reach administrative endpoints. A reachable command injection flaw is still exploitable even if it is not directly exposed to the public internet.

If you need a triage baseline for urgent exposure work, pair the vulnerability notice with CISA Known Exploited Vulnerabilities Catalog and NIST National Vulnerability Database to confirm the advisory record and track the affected product context.

When a flaw is already in KEV, the useful question becomes blast radius, not just version inventory. Identify which clusters, job schedulers, notebooks, and adjacent administrative services can be reached from the same trust zone, because that determines whether a single vulnerable Spark UI is an isolated issue or a path into a wider analytics estate.

Response Priority: Patch, Then Verify, Then Hunt

The response order should be explicit: remediate first, verify exposure next, and then look for compromise. Because CISA added this CVE to KEV, delay should be treated as an exception that needs a clear business justification, not as a normal maintenance item. If patching must wait, isolate the service and reduce reachability immediately.

Where teams are still deciding what to prioritise, a vulnerability management workflow helps anchor the decision in exposure and exploitability rather than intuition. Zero-Day and Exploited Vulnerabilities Guide is useful here because it frames KEV-driven triage, emergency mitigation, and post-patch hunting as one operational cycle.

If you need a structured process for the surrounding remediation work, Vulnerability Management Guide provides the prioritisation logic practitioners typically need for KEV-listed issues, including verification and exception handling.

After remediation, review logs and adjacent telemetry for unusual command execution, unexpected child processes, suspicious UI requests, or administrative actions that do not match normal Spark operations. If the service was reachable before the fix, assume you may need to validate both the absence of exploitation and the absence of persistence.

Risk and Threat Considerations

Actively exploited command injection flaws are attractive because they can convert a trusted management interface into arbitrary command execution. In a data platform, that can become a foothold for credential theft, lateral movement, job tampering, or staging for broader compromise, especially when the service account or host has access to shared data and orchestration paths.

Failure mechanism: A reachable Spark UI endpoint with vulnerable request handling lets an attacker supply crafted input that the application treats as a command, bypassing the normal boundary between user interaction and host-level execution.

Impact: The resulting execution can expose data, alter workloads, disrupt analytics operations, or provide a platform for follow-on access and persistence if the affected node or adjacent services are trusted too broadly.

Standards & Framework Alignment

This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.

MITRE ATT&CK addresses the attack and risk surface, while CIS Controls v8, NIST SP 800-53 Rev 5 and OWASP ASVS set the governance and control requirements practitioners need to meet.

Framework	Control / Reference	Relevance
CIS Controls v8	CIS-7 — Continuous Vulnerability Management	Active exploitation makes timely vuln triage and remediation central.
Recommendation — Prioritise, remediate, and verify the Spark vulnerability using continuous vulnerability management.
NIST SP 800-53 Rev 5	SI-2 — Flaw Remediation	A KEV-listed command injection flaw requires prompt flaw remediation and validation.
	AU-6 — Audit Record Review, Analysis, and Reporting	Post-exploitation review depends on analyzing logs for suspicious UI activity and command execution.
Recommendation — Remediate the Spark flaw promptly and confirm the fix is applied across affected systems. Review Spark and host audit records for signs of exploitation and follow-on activity.
OWASP ASVS	V15 — Secure Coding and Architecture	Command injection reflects unsafe input handling and execution boundaries in the application layer.
Recommendation — Remove command execution paths that trust request input and harden the UI request handling.
MITRE ATT&CK	T1059 — Command and Scripting Interpreter	The weakness enables attacker-controlled command execution on the target system.
Recommendation — Hunt for command interpreter abuse and suspicious child processes tied to Spark UI requests.

Practitioner Guidance

What to prioritise: Treat confirmed KEV status as the trigger for immediate exposure reduction. Patch the vulnerable Spark deployment first, then validate whether any reachable UI instances remain in the estate.

What to verify: Confirm whether the vulnerable UI is actually reachable from any network segment, not just from the expected admin path. Reachability is the difference between a theoretical bug and an exploitable one.

What to measure: Track how quickly you can identify all Spark instances, confirm UI exposure, and close or isolate any instance that cannot be patched immediately. That speed is the real control test for exploited vulnerabilities.

Practitioner takeaway: For KEV-listed command injection flaws, the right response is to compress time to containment, not to debate whether the application is “mostly internal.”

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NHIMG Editorial Note
Reviewed and updated by the NHIMG editorial team on October 19, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org