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CVE-2022-33891 CISA KEV high

[KEV] OS Command Injection in Apache Spark (CVE-2022-33891)

Summary

OS command injection in Apache Spark (CVE-2022-33891). Successful exploitation can lead to full system takeover. Exploitable via spark.acls.enable. Listed in CISA KEV — actively exploited. Mitigation: upgrade to 3.2.2 or later.

Original description

The description as published by the source.

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.

A previous version of this advisory incorrectly stated that version 3.1.3 was not vulnerable. Per GHSA-59hw-j9g6-mfg3, version 3.1.3 is vulnerable and vulnerable version ranges in this advisory have been changed to reflect the correct information.

Source: CISA Known Exploited Vulnerabilities NVD GitHub Advisory CISA KEV

Auto-generated summary

Assembled by SecPulse from the source data (CVSS, CWE, affected versions) using templates — no AI involved. Check the original description and references below for exact details.

A vulnerability tracked as CVE-2022-33891 has been found in Apache Spark.
Attackers can target a specific entry point like spark.acls.enable over the network to misuse the product.
Successful exploitation can lead to full system takeover.
Note: CISA has officially confirmed this is actively exploited in the wild. Treat it with elevated urgency.
What to do: upgrade Apache Spark to 3.2.2 or later.
If unsure, ask your IT team or search "Apache Spark CVE-2022-33891" on the vendor's site.

CVE-2022-33891 (Apache Spark) — CWE-78
Attack vector: remote (network-reachable) / no user interaction
Attack surface: spark.acls.enable
Patched: 3.2.2 — apply immediately
Listed in CISA KEV — actively exploited, treat as top priority.
Plan: 1) Audit SBOM/dependencies, 2) Stage→prod upgrade, 3) Add WAF/proxy monitoring on affected endpoints, 4) Hunt IOCs in logs.
Refs: see the GHSA / vendor advisory / patched release linked on this page.

❓ What is the problem

OS command injection (CWE-78) exists in Apache Spark. Attackers reach the vulnerable code path via spark.acls.enable.

📍 Affected scope

Check the vendor advisory for the affected versions of Apache Spark. Attack surface: spark.acls.enable.

🔥 Severity

Severity: High. Successful exploitation can lead to full system takeover. Listed in CISA KEV — actively exploited in the wild, treat as top priority.

🔧 How to fix

Update to 3.2.2.

🛡️ Workaround

Until the patch is applied: disable the affected feature, apply WAF rules, or restrict access via network ACLs.

🔍 Detection

Search webserver/proxy logs for unusual request patterns matching this CVE's known IOCs. Run grep -r 'pyspark' . against your dependency files (package-lock.json, requirements.txt, go.sum) to find affected services.

Response actions

Concrete steps and command examples for SOC/SRE teams to execute in order

  1. 1
    Identify exposure identify 
    grep -r 'pyspark' . | grep -v node_modules

    リポジトリと本番環境の依存ファイル (package-lock.json / requirements.txt / go.sum / Gemfile.lock 等) で pyspark を grep し、稼働しているサービス・バージョンを把握する。

  2. 2
    Consider incident declaration escalate 
    Notify SOC / on-call

    CISA KEV登録済 = 実環境で悪用が観測されている。侵入の兆候があればインシデント対応宣言、無くてもパッチ適用までWAF強化を最優先で。

  3. 3
    Apply patch patch 
    Upgrade Apache Spark to 3.2.2

    ステージング環境で 3.2.2 に上げて回帰テスト → 本番反映。回帰テストはアプリの主要ハッピーパスを含めること。

  4. 4
    Post-deployment verification verify 
    Confirm patched version is live in production

    パッチ適用後、ステージングで PoC または同等の悪用パターンを再現して脆弱性が閉じたことを確認。本番ではアクセスログ・WAF でアラート再発が無いか継続監視。

Affected packages

PyPI pyspark
[{"type":"ECOSYSTEM","events":[{"introduced":"3.2.0"},{"fixed":"3.2.2"}]}]
maven org.apache.spark:spark-parent_2.12
[{"type":"ECOSYSTEM","events":[{"introduced":"3.1.1"},{"fixed":"3.2.2"}]}]
pip pyspark
[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"3.2.2"}]}]

References

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