Vulnerability-Lookup

GHSA-69HR-QQMQ-CF8V

Vulnerability from github – Published: 2022-09-29 00:00 – Updated: 2022-09-29 00:00

Details

An improper authentication vulnerability exists in the Carlo Gavazzi UWP3.0 in multiple versions and CPY Car Park Server in Version 2.8.3 Web-App which allows an authentication bypass to the context of an unauthorised user if free-access is disabled.

Severity

7.5 (High)


                  
                    CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N

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{
  "affected": [],
  "aliases": [
    "CVE-2022-22523"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-287"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2022-09-28T14:15:00Z",
    "severity": "HIGH"
  },
  "details": "An improper authentication vulnerability exists in the Carlo Gavazzi UWP3.0 in multiple versions and CPY Car Park Server in Version 2.8.3 Web-App which allows an authentication bypass to the context of an unauthorised user if free-access is disabled.",
  "id": "GHSA-69hr-qqmq-cf8v",
  "modified": "2022-09-29T00:00:25Z",
  "published": "2022-09-29T00:00:25Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-22523"
    },
    {
      "type": "WEB",
      "url": "https://cert.vde.com/en/advisories/VDE-2022-029"
    }
  ],
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  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N",
      "type": "CVSS_V3"
    }
  ]
}

CVE-2022-22523 (GCVE-0-2022-22523)

Vulnerability from cvelistv5 – Published: 2022-09-28 13:45 – Updated: 2025-05-21 14:37

Title

Carlo Gavazzi UWP 3.0 WebApp allows for authentication bypass

Summary

Severity

7.5 (High)


                        
                          CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N

SSVC

Exploitation: none Automatable: yes Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2025-05-21 14:37 UTC

CWE

CWE-287 - Improper Authentication

Assigner

CERTVDE icscert root

References

1 reference

URL	Tags
https://cert.vde.com/en/advisories/VDE-2022-029/	x_refsource_CONFIRM

Impacted products

4 products

Vendor	Product	Version
Carlo Gavazzi	UWP 3.0 Monitoring Gateway and Controller	Affected: 8 , < 8.5.0.3 (custom)
Carlo Gavazzi	UWP 3.0 Monitoring Gateway and Controller – Security Enhanced	Affected: 8 , < 8.5.0.3 (custom)
Carlo Gavazzi	UWP 3.0 Monitoring Gateway and Controller – EDP version	Affected: 8 , < 8.5.0.3 (custom)
Carlo Gavazzi	CPY Car Park Server	Affected: 2 , < 2.8.3 (custom)

Credits

Vera Mens from Claroty Research

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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.