FKIE_CVE-2017-8038

Vulnerability from fkie_nvd - Published: 2017-11-27 10:29 - Updated: 2026-06-17 01:25
Summary
In Cloud Foundry Foundation Credhub-release version 1.1.0, access control lists (ACLs) enforce whether an authenticated user can perform an operation on a credential. For installations using ACLs, the ACL was bypassed for the CredHub interpolate endpoint, allowing authenticated applications to view any credential within the CredHub installation.
Impacted products
Vendor Product Version
pivotal_software credhub-release 1.1.0

{
  "affected": [
    {
      "affectedData": [
        {
          "product": "Credhub Credhub-release version 1.1.0 only",
          "vendor": "n/a",
          "versions": [
            {
              "status": "affected",
              "version": "Credhub Credhub-release version 1.1.0 only"
            }
          ]
        }
      ],
      "source": "security_alert@emc.com"
    }
  ],
  "configurations": [
    {
      "nodes": [
        {
          "cpeMatch": [
            {
              "criteria": "cpe:2.3:a:pivotal_software:credhub-release:1.1.0:*:*:*:*:*:*:*",
              "matchCriteriaId": "92803362-0523-424D-9950-E19E0FED5493",
              "vulnerable": true
            }
          ],
          "negate": false,
          "operator": "OR"
        }
      ]
    }
  ],
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "In Cloud Foundry Foundation Credhub-release version 1.1.0, access control lists (ACLs) enforce whether an authenticated user can perform an operation on a credential. For installations using ACLs, the ACL was bypassed for the CredHub interpolate endpoint, allowing authenticated applications to view any credential within the CredHub installation."
    },
    {
      "lang": "es",
      "value": "En Cloud Foundry Foundation Credhub-release versi\u00f3n 1.1.0, las listas de control de acceso (ACL) se aplican si un usuario autenticado puede realizar una operaci\u00f3n en una credencial. Para las instalaciones que emplean ACL, el ACL fue omitido para el extremo interpolado CredHub, permitiendo que aplicaciones autenticadas vean cualquier credencial en la instalaci\u00f3n CredHub."
    }
  ],
  "id": "CVE-2017-8038",
  "lastModified": "2026-06-17T01:25:40.620",
  "metrics": {
    "cvssMetricV2": [
      {
        "acInsufInfo": false,
        "baseSeverity": "MEDIUM",
        "cvssData": {
          "accessComplexity": "LOW",
          "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"
        },
        "exploitabilityScore": 8.0,
        "impactScore": 2.9,
        "obtainAllPrivilege": false,
        "obtainOtherPrivilege": false,
        "obtainUserPrivilege": false,
        "source": "nvd@nist.gov",
        "type": "Primary",
        "userInteractionRequired": false
      }
    ],
    "cvssMetricV30": [
      {
        "cvssData": {
          "attackComplexity": "LOW",
          "attackVector": "NETWORK",
          "availabilityImpact": "HIGH",
          "baseScore": 8.8,
          "baseSeverity": "HIGH",
          "confidentialityImpact": "HIGH",
          "integrityImpact": "HIGH",
          "privilegesRequired": "LOW",
          "scope": "UNCHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
          "version": "3.0"
        },
        "exploitabilityScore": 2.8,
        "impactScore": 5.9,
        "source": "nvd@nist.gov",
        "type": "Primary"
      }
    ]
  },
  "published": "2017-11-27T10:29:00.813",
  "references": [
    {
      "source": "security_alert@emc.com",
      "tags": [
        "Issue Tracking",
        "Third Party Advisory"
      ],
      "url": "https://www.cloudfoundry.org/cve-2017-8038/"
    },
    {
      "source": "af854a3a-2127-422b-91ae-364da2661108",
      "tags": [
        "Issue Tracking",
        "Third Party Advisory"
      ],
      "url": "https://www.cloudfoundry.org/cve-2017-8038/"
    }
  ],
  "sourceIdentifier": "security_alert@emc.com",
  "vulnStatus": "Modified",
  "weaknesses": [
    {
      "description": [
        {
          "lang": "en",
          "value": "NVD-CWE-noinfo"
        }
      ],
      "source": "nvd@nist.gov",
      "type": "Primary"
    }
  ]
}



Log in or create an account to share your comment.




Tags
Taxonomy of the tags.


Loading…

Loading…

Loading…

Drag nodes to arrange them. Double-click a related vulnerability to open it, or a source to visit its link. The Physics button on the left tunes the layout and the simulation; the legend at the bottom left hides or shows nodes by kind and by sighting type.

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.
Vulnerability timeline

Sightings and recorded dates, grouped by day · UTC

JSON
Events included in the timeline

Loading timeline…


    Loading…

    Loading…

    Loading…

    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.