GHSA-HRWC-PQFM-G6QF

Vulnerability from github – Published: 2022-05-17 00:29 – Updated: 2022-12-12 19:10
VLAI
Summary
Jenkins Subversion Plugin Cross-Site Request Forgery vulnerability
Details

Subversion Plugin connects to a user-specified Subversion repository as part of form validation (e.g. to retrieve a list of tags). This functionality improperly checked permissions, allowing any user with Item/Build permission (but not Item/Configure) to connect to any web server or Subversion server and send credentials with a known ID, thereby possibly capturing them. Additionally, this functionality did not require POST requests be used, thereby allowing the above to be performed without direct access to Jenkins via Cross-Site Request Forgery attacks. As of version 2.9, this functionality properly checks permissions and is only available via POST.

Show details on source website

{
  "affected": [
    {
      "package": {
        "ecosystem": "Maven",
        "name": "org.jenkins-ci.plugins:subversion"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.9"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2017-1000085"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-352"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2022-12-12T19:10:15Z",
    "nvd_published_at": "2017-10-05T01:29:00Z",
    "severity": "MODERATE"
  },
  "details": "Subversion Plugin connects to a user-specified Subversion repository as part of form validation (e.g. to retrieve a list of tags). This functionality improperly checked permissions, allowing any user with Item/Build permission (but not Item/Configure) to connect to any web server or Subversion server and send credentials with a known ID, thereby possibly capturing them. Additionally, this functionality did not require POST requests be used, thereby allowing the above to be performed without direct access to Jenkins via Cross-Site Request Forgery attacks. As of version 2.9, this functionality properly checks permissions and is only available via POST.",
  "id": "GHSA-hrwc-pqfm-g6qf",
  "modified": "2022-12-12T19:10:15Z",
  "published": "2022-05-17T00:29:00Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2017-1000085"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/jenkinsci/subversion-plugin"
    },
    {
      "type": "WEB",
      "url": "https://jenkins.io/security/advisory/2017-07-10"
    },
    {
      "type": "WEB",
      "url": "https://web.archive.org/web/20171119065136/http://www.securityfocus.com/bid/99574"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:N/A:N",
      "type": "CVSS_V3"
    }
  ],
  "summary": "Jenkins Subversion Plugin Cross-Site Request Forgery vulnerability"
}



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…

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…