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CVE-2022-33891 (GCVE-0-2022-33891)

Vulnerability from cvelistv5 – Published: 2022-07-18 00:00 – Updated: 2025-10-21 23:15
VLAI CISA Shadowserver Previdian
Title
Apache Spark shell command injection vulnerability via Spark UI
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.
Severity
8.8 (High)
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
SSVC
Exploitation: active Automatable: no Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-02-04 14:13 UTC
CWE
  • CWE-78 - Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection')
Assigner
References
Impacted products
Vendor Product Version CPE status
Apache Software Foundation Apache Spark Affected: 3.0.3 and earlier , ≤ 3.0.3 (custom)
Affected: 3.1.1 to 3.1.2 , ≤ 3.1.2 (custom)
Affected: 3.2.0 to 3.2.1 , ≤ 3.2.1 (custom)
guessed Create a notification for this product.
Credits
Kostya Kortchinsky (Databricks)
CISA
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: 3aad05d8-6f69-4626-8c05-0fafa4cd344b

Vulnerability ID: CVE-2022-33891

Status: Confirmed

Status Updated: 2023-03-07 00:00 UTC

Exploited: Yes

Timestamps
First Seen: 2023-03-07
Asserted: 2023-03-07
Scope
Notes: KEV entry: Apache Spark Command Injection Vulnerability | Affected: Apache / Spark | Description: Apache Spark contains a command injection vulnerability via Spark User Interface (UI) when Access Control Lists (ACLs) are enabled. | Required action: Apply updates per vendor instructions. | Due date: 2023-03-28 | Known ransomware campaign use (KEV): Unknown | Notes (KEV): https://lists.apache.org/thread/p847l3kopoo5bjtmxrcwk21xp6tjxqlc; https://nvd.nist.gov/vuln/detail/CVE-2022-33891
Evidence

Type: Vendor Report

Signal: Successful Exploitation

Confidence: 80%

Source: cisa-kev

Details
Cwes CWE-78
Feed CISA Known Exploited Vulnerabilities Catalog
Product Spark
Due Date 2023-03-28
Date Added 2023-03-07
Vendorproject Apache
Vulnerabilityname Apache Spark Command Injection Vulnerability
Knownransomwarecampaignuse Unknown
References
Created: 2026-02-02 13:25 UTC | Updated: 2026-02-06 07:53 UTC
Shadowserver
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: e77abe11-5323-40b9-9f85-a301bc7cd6e0

Vulnerability ID: CVE-2022-33891

Status: Confirmed

Status Updated: 2026-09-06 00:00 UTC

Exploited: Yes

Characteristics
Severity: 88.0
Timestamps
First Seen: 2023-11-24
Asserted: 2023-11-24
Last Seen: 2026-09-06
Scope
Asset Exposure: ['internet-facing']
Notes: Affected: Apache / Spark | Class: other-software | Severity: High (CVSS 8.8) | IoT: no | In CISA KEV: yes | Honeypot connections on 2026-09-06: 24
Evidence

Type: Honeypot

Signal: In The Wild Attempts

Confidence: 70%

Source: shadowserver

Details
1D 1
Iot no
Feed Shadowserver Foundation honeypot/exploited-vulnerabilities
Type http-scan
Class other-software
7D Avg 0
Vendor Apache
30D Avg 0
90D Avg 1
Product Spark
Cisa Kev yes
Connections 24
Observation Date 2026-09-06
Vulnerability Class CVSS
Vulnerability Score 8.8
Vulnerability Severity High
References
Created: 2026-07-01 05:54 UTC | Updated: 2026-09-08 01:02 UTC
Previdian
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: 7d97ab37-131d-4a3e-b581-ecd2918981b9

Vulnerability ID: CVE-2022-33891

Status: Confirmed

Status Updated: 2023-03-07 00:00 UTC

Exploited: Yes

Timestamps
First Seen: 2023-03-07
Asserted: 2023-03-07
Scope
Notes: KEVIntel entry: Apache Spark shell command injection vulnerability via Spark UI | Affected: Apache Software Foundation / Apache Spark | CVSS: 8.8 (HIGH) | Used in malware: unknown | Not yet in CISA KEV: False
Evidence

Type: Public Report

Signal: Successful Exploitation

Confidence: 70%

Source: kevintel

Details
Feed KEVIntel (kevintel.com)
Title Apache Spark shell command injection vulnerability via Spark UI
Vendor Apache Software Foundation
Product Apache Spark
Added Date 2023-03-07T00:00:00.000Z
Cvss Score 8.8
Epss Score None
Cvss Severity HIGH
Epss Percentile None
Used In Malware unknown
Ahead Of Cisa Kev None
Not Yet In Cisa Kev False
References
Created: 2026-06-23 11:14 UTC | Updated: 2026-06-23 11:14 UTC
Show details on NVD website
To clipboard 

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      "containers": "{\"adp\": [{\"title\": \"CVE Program Container\", \"references\": [{\"url\": \"https://lists.apache.org/thread/p847l3kopoo5bjtmxrcwk21xp6tjxqlc\", \"tags\": [\"x_transferred\"]}, {\"url\": \"http://packetstormsecurity.com/files/168309/Apache-Spark-Unauthenticated-Command-Injection.html\", \"tags\": [\"x_transferred\"]}, {\"url\": \"http://www.openwall.com/lists/oss-security/2023/05/02/1\", \"name\": \"[oss-security] 20230502 CVE-2023-32007: Apache Spark: Shell command injection via Spark UI\", \"tags\": [\"mailing-list\", \"x_transferred\"]}], \"providerMetadata\": {\"orgId\": \"af854a3a-2127-422b-91ae-364da2661108\", \"shortName\": \"CVE\", \"dateUpdated\": \"2024-08-03T08:09:22.687Z\"}}, {\"title\": \"CISA ADP Vulnrichment\", \"metrics\": [{\"cvssV3_1\": {\"scope\": \"UNCHANGED\", \"version\": \"3.1\", \"baseScore\": 8.8, \"attackVector\": \"NETWORK\", \"baseSeverity\": \"HIGH\", \"vectorString\": \"CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H\", \"integrityImpact\": \"HIGH\", \"userInteraction\": \"NONE\", \"attackComplexity\": \"LOW\", \"availabilityImpact\": \"HIGH\", \"privilegesRequired\": \"LOW\", \"confidentialityImpact\": \"HIGH\"}}, {\"other\": {\"type\": \"ssvc\", \"content\": {\"id\": \"CVE-2022-33891\", \"role\": \"CISA Coordinator\", \"options\": [{\"Exploitation\": \"active\"}, {\"Automatable\": \"no\"}, {\"Technical Impact\": \"total\"}], \"version\": \"2.0.3\", \"timestamp\": \"2025-02-04T14:13:50.936095Z\"}}}, {\"other\": {\"type\": \"kev\", \"content\": {\"dateAdded\": \"2023-03-07\", \"reference\": \"https://www.cisa.gov/known-exploited-vulnerabilities-catalog?field_cve=CVE-2022-33891\"}}}], \"timeline\": [{\"lang\": \"en\", \"time\": \"2023-03-07T00:00:00+00:00\", \"value\": \"CVE-2022-33891 added to CISA KEV\"}], \"providerMetadata\": {\"orgId\": \"134c704f-9b21-4f2e-91b3-4a467353bcc0\", \"shortName\": \"CISA-ADP\", \"dateUpdated\": \"2025-02-04T14:13:38.180Z\"}}], \"cna\": {\"title\": \"Apache Spark shell command injection vulnerability via Spark UI\", \"source\": {\"defect\": [\"SPARK-38992\"], \"discovery\": \"UNKNOWN\"}, \"credits\": [{\"lang\": \"en\", \"value\": \" Kostya Kortchinsky (Databricks)\"}], \"metrics\": [{\"other\": {\"type\": \"unknown\", \"content\": {\"other\": \"important\"}}}], \"affected\": [{\"vendor\": \"Apache Software Foundation\", \"product\": \"Apache Spark\", \"versions\": [{\"status\": \"affected\", \"version\": \"3.0.3 and earlier\", \"versionType\": \"custom\", \"lessThanOrEqual\": \"3.0.3\"}, {\"status\": \"affected\", \"version\": \"3.1.1 to 3.1.2\", \"versionType\": \"custom\", \"lessThanOrEqual\": \"3.1.2\"}, {\"status\": \"affected\", \"version\": \"3.2.0 to 3.2.1\", \"versionType\": \"custom\", \"lessThanOrEqual\": \"3.2.1\"}]}], \"references\": [{\"url\": \"https://lists.apache.org/thread/p847l3kopoo5bjtmxrcwk21xp6tjxqlc\"}, {\"url\": \"http://packetstormsecurity.com/files/168309/Apache-Spark-Unauthenticated-Command-Injection.html\"}, {\"url\": \"http://www.openwall.com/lists/oss-security/2023/05/02/1\", \"name\": \"[oss-security] 20230502 CVE-2023-32007: Apache Spark: Shell command injection via Spark UI\", \"tags\": [\"mailing-list\"]}], \"workarounds\": [{\"lang\": \"en\", \"value\": \"Upgrade to supported Apache Spark maintenance release 3.1.3, 3.2.2, or 3.3.0 or later\"}], \"x_generator\": {\"engine\": \"Vulnogram 0.0.9\"}, \"descriptions\": [{\"lang\": \"en\", \"value\": \"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.\"}], \"problemTypes\": [{\"descriptions\": [{\"lang\": \"en\", \"type\": \"CWE\", \"cweId\": \"CWE-78\", \"description\": \"CWE-78 Improper Neutralization of Special Elements used in an OS Command (\u0027OS Command Injection\u0027)\"}]}], \"providerMetadata\": {\"orgId\": \"f0158376-9dc2-43b6-827c-5f631a4d8d09\", \"shortName\": \"apache\", \"dateUpdated\": \"2023-07-25T08:13:36.397Z\"}}}",
      "cveMetadata": "{\"cveId\": \"CVE-2022-33891\", \"state\": \"PUBLISHED\", \"dateUpdated\": \"2025-10-21T18:45:28.463Z\", \"dateReserved\": \"2022-06-17T00:00:00.000Z\", \"assignerOrgId\": \"f0158376-9dc2-43b6-827c-5f631a4d8d09\", \"datePublished\": \"2022-07-18T00:00:00.000Z\", \"assignerShortName\": \"apache\"}",
      "dataType": "CVE_RECORD",
      "dataVersion": "5.1"
    }
  }
}



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Tags
Taxonomy of the tags.





Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

Sightings

Author Source Type Date Other

Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
  • Confirmed: The vulnerability has been validated from an analyst's perspective.
  • Published Proof of Concept: A public proof of concept is available for this vulnerability.
  • Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
  • Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
  • Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
  • Not confirmed: The user expressed doubt about the validity of the vulnerability.
  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.


Detection rules are retrieved from Rulezet.