Vulnerability-Lookup

FKIE_CVE-2022-22959

Vulnerability from fkie_nvd - Published: 2022-04-13 18:15 - Updated: 2026-06-17 04:29

Severity

4.3 (Medium) - CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:L/A:N

Summary

VMware Workspace ONE Access, Identity Manager and vRealize Automation contain a cross site request forgery vulnerability. A malicious actor can trick a user through a cross site request forgery to unintentionally validate a malicious JDBC URI.

References

	URL	Tags
	security@vmware.com	https://www.vmware.com/security/advisories/VMSA-2022-0011.html	Patch, Vendor Advisory
	af854a3a-2127-422b-91ae-364da2661108	https://www.vmware.com/security/advisories/VMSA-2022-0011.html	Patch, Vendor Advisory

Impacted products

Vendor	Product	Version
vmware	cloud_foundation	*
vmware	identity_manager	3.3.3
vmware	identity_manager	3.3.4
vmware	identity_manager	3.3.5
vmware	identity_manager	3.3.6
vmware	vrealize_automation	*
vmware	vrealize_automation	7.6
vmware	vrealize_suite_lifecycle_manager	*
vmware	workspace_one_access	20.10.0.0
vmware	workspace_one_access	20.10.0.1
vmware	workspace_one_access	21.08.0.0
vmware	workspace_one_access	21.08.0.1
linux	linux_kernel	-

JSON

To clipboard

{
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      "affectedData": [
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          "product": "VMware Workspace ONE Access, Identity Manager and vRealize Automation",
          "vendor": "n/a",
          "versions": [
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            }
          ]
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    },
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    }
  ],
  "id": "CVE-2022-22959",
  "lastModified": "2026-06-17T04:29:14.853",
  "metrics": {
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      {
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        "baseSeverity": "MEDIUM",
        "cvssData": {
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          "accessVector": "NETWORK",
          "authentication": "NONE",
          "availabilityImpact": "NONE",
          "baseScore": 4.3,
          "confidentialityImpact": "NONE",
          "integrityImpact": "PARTIAL",
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        "obtainAllPrivilege": false,
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  "vulnStatus": "Modified",
  "weaknesses": [
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          "value": "CWE-352"
        }
      ],
      "source": "nvd@nist.gov",
      "type": "Primary"
    }
  ]
}

CVE-2022-22959 (GCVE-0-2022-22959)

Vulnerability from cvelistv5 – Published: 2022-04-13 17:05 – Updated: 2024-08-03 03:28

Summary

Severity

No CVSS data available.

CWE

Cross site request forgery

Assigner

vmware mitre root

References

1 reference

URL	Tags
https://www.vmware.com/security/advisories/VMSA-2…	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
n/a	VMware Workspace ONE Access, Identity Manager and vRealize Automation	Affected: Access 21.08.0.1, 21.08.0.0, 20.10.0.1, 20.10.0.0. Identity Manager 3.3.6, 3.3.5, 3.3.4, 3.3.3. vRealize Automation 7.6.

Show details on NVD website

JSON

To clipboard

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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.

The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base model, served locally by ML-Gateway. They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.

Related by attack behaviour

Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.