GSD-2022-22939

Vulnerability from gsd - Updated: 2023-12-13 01:19
Details
VMware Cloud Foundation contains an information disclosure vulnerability due to logging of credentials in plain-text within multiple log files on the SDDC Manager. A malicious actor with root access on VMware Cloud Foundation SDDC Manager may be able to view credentials in plaintext within one or more log files.
Aliases
Aliases
CVE-2022-22939
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{
  "GSD": {
    "alias": "CVE-2022-22939",
    "description": "VMware Cloud Foundation contains an information disclosure vulnerability due to logging of credentials in plain-text within multiple log files on the SDDC Manager. A malicious actor with root access on VMware Cloud Foundation SDDC Manager may be able to view credentials in plaintext within one or more log files.",
    "id": "GSD-2022-22939"
  },
  "gsd": {
    "metadata": {
      "exploitCode": "unknown",
      "remediation": "unknown",
      "reportConfidence": "confirmed",
      "type": "vulnerability"
    },
    "osvSchema": {
      "aliases": [
        "CVE-2022-22939"
      ],
      "details": "VMware Cloud Foundation contains an information disclosure vulnerability due to logging of credentials in plain-text within multiple log files on the SDDC Manager. A malicious actor with root access on VMware Cloud Foundation SDDC Manager may be able to view credentials in plaintext within one or more log files.",
      "id": "GSD-2022-22939",
      "modified": "2023-12-13T01:19:29.007369Z",
      "schema_version": "1.4.0"
    }
  },
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            {
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                    "version": {
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                          "version_value": "VMware Cloud Foundation 4.x (before 4.3.1.1) and 3.x"
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            "name": "https://www.vmware.com/security/advisories/VMSA-2022-0003.html",
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                "versionStartIncluding": "3.0",
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      "impact": {
        "baseMetricV2": {
          "acInsufInfo": false,
          "cvssV2": {
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            "accessVector": "NETWORK",
            "authentication": "SINGLE",
            "availabilityImpact": "NONE",
            "baseScore": 4.0,
            "confidentialityImpact": "PARTIAL",
            "integrityImpact": "NONE",
            "vectorString": "AV:N/AC:L/Au:S/C:P/I:N/A:N",
            "version": "2.0"
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          "impactScore": 2.9,
          "obtainAllPrivilege": false,
          "obtainOtherPrivilege": false,
          "obtainUserPrivilege": false,
          "severity": "MEDIUM",
          "userInteractionRequired": false
        },
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            "availabilityImpact": "NONE",
            "baseScore": 4.9,
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            "confidentialityImpact": "HIGH",
            "integrityImpact": "NONE",
            "privilegesRequired": "HIGH",
            "scope": "UNCHANGED",
            "userInteraction": "NONE",
            "vectorString": "CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:N/A:N",
            "version": "3.1"
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          "exploitabilityScore": 1.2,
          "impactScore": 3.6
        }
      },
      "lastModifiedDate": "2022-02-10T07:06Z",
      "publishedDate": "2022-02-04T23:15Z"
    }
  }
}



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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

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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.


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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.