GCVE Workshop - 22 September 2026 (14:00-18:00), Luxembourg Before The Vulnopticon Conference - Registration

FKIE_CVE-2017-1000095

Vulnerability from fkie_nvd - Published: 2017-10-05 01:29 - Updated: 2026-06-17 00:58
Summary
The default whitelist included the following unsafe entries: DefaultGroovyMethods.putAt(Object, String, Object); DefaultGroovyMethods.getAt(Object, String). These allowed circumventing many of the access restrictions implemented in the script sandbox by using e.g. currentBuild['rawBuild'] rather than currentBuild.rawBuild. Additionally, the following entries allowed accessing private data that would not be accessible otherwise due to script security: groovy.json.JsonOutput.toJson(Closure); groovy.json.JsonOutput.toJson(Object).
Impacted products
Vendor Product Version
jenkins script_security 1.34

{
  "affected": [
    {
      "affectedData": [
        {
          "product": "n/a",
          "vendor": "n/a",
          "versions": [
            {
              "status": "affected",
              "version": "n/a"
            }
          ]
        }
      ],
      "source": "cve@mitre.org"
    }
  ],
  "configurations": [
    {
      "nodes": [
        {
          "cpeMatch": [
            {
              "criteria": "cpe:2.3:a:jenkins:script_security:1.34:*:*:*:*:jenkins:*:*",
              "matchCriteriaId": "F330BD19-176E-4D33-8302-9904501F853F",
              "vulnerable": true
            }
          ],
          "negate": false,
          "operator": "OR"
        }
      ]
    }
  ],
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "The default whitelist included the following unsafe entries: DefaultGroovyMethods.putAt(Object, String, Object); DefaultGroovyMethods.getAt(Object, String). These allowed circumventing many of the access restrictions implemented in the script sandbox by using e.g. currentBuild[\u0027rawBuild\u0027] rather than currentBuild.rawBuild. Additionally, the following entries allowed accessing private data that would not be accessible otherwise due to script security: groovy.json.JsonOutput.toJson(Closure); groovy.json.JsonOutput.toJson(Object)."
    },
    {
      "lang": "es",
      "value": "La lista blanca por defecto incluye las siguientes entradas no seguras: DefaultGroovyMethods.putAt(Object, String, Object); DefaultGroovyMethods.getAt(Object, String). Esto permite omitir muchas de las restricciones de acceso implementadas en el sandbox del script utilizando, por ejemplo, currentBuild[\u0027rawBuild\u0027] en vez de currentBuild.rawBuild. Adem\u00e1s, las siguientes entradas permiten que se acceda a datos privados que no ser\u00edan accesibles de otra manera por mecanismos de seguridad de scripts: groovy.json.JsonOutput.toJson(Closure); groovy.json.JsonOutput.toJson(Object)."
    }
  ],
  "id": "CVE-2017-1000095",
  "lastModified": "2026-06-17T00:58:43.610",
  "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": "NONE",
          "baseScore": 6.5,
          "baseSeverity": "MEDIUM",
          "confidentialityImpact": "HIGH",
          "integrityImpact": "NONE",
          "privilegesRequired": "LOW",
          "scope": "UNCHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N",
          "version": "3.0"
        },
        "exploitabilityScore": 2.8,
        "impactScore": 3.6,
        "source": "nvd@nist.gov",
        "type": "Primary"
      }
    ]
  },
  "published": "2017-10-05T01:29:03.883",
  "references": [
    {
      "source": "cve@mitre.org",
      "tags": [
        "Vendor Advisory"
      ],
      "url": "https://jenkins.io/security/advisory/2017-07-10/"
    },
    {
      "source": "af854a3a-2127-422b-91ae-364da2661108",
      "tags": [
        "Vendor Advisory"
      ],
      "url": "https://jenkins.io/security/advisory/2017-07-10/"
    }
  ],
  "sourceIdentifier": "cve@mitre.org",
  "vulnStatus": "Modified",
  "weaknesses": [
    {
      "description": [
        {
          "lang": "en",
          "value": "CWE-732"
        }
      ],
      "source": "nvd@nist.gov",
      "type": "Primary"
    }
  ]
}



Log in or create an account to share your comment.




Tags
Taxonomy of the tags.


Loading…

Loading…

Loading…

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.

Loading…

Detection rules are retrieved from Rulezet.

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.


Loading…