GHSA-36J8-F33J-VJWQ

Vulnerability from github – Published: 2022-07-01 00:01 – Updated: 2022-12-09 16:45
VLAI
Summary
Passwords stored in plain text by Jenkins hpe-network-virtualization plugin
Details

hpe-network-virtualization Plugin 1.0 stores passwords unencrypted in its global configuration file org.jenkinsci.plugins.nvemulation.plugin.NvEmulationBuilder.xml on the Jenkins controller as part of its configuration.

These passwords can be viewed by users with access to the Jenkins controller file system.

Show details on source website

{
  "affected": [
    {
      "package": {
        "ecosystem": "Maven",
        "name": "org.jenkins-ci.plugins:hpe-network-virtualization"
      },
      "versions": [
        "1.0"
      ]
    }
  ],
  "aliases": [
    "CVE-2022-34816"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-256",
      "CWE-522"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2022-12-09T16:45:25Z",
    "nvd_published_at": "2022-06-30T18:15:00Z",
    "severity": "LOW"
  },
  "details": "hpe-network-virtualization Plugin 1.0 stores passwords unencrypted in its global configuration file `org.jenkinsci.plugins.nvemulation.plugin.NvEmulationBuilder.xml` on the Jenkins controller as part of its configuration.\n\nThese passwords can be viewed by users with access to the Jenkins controller file system.",
  "id": "GHSA-36j8-f33j-vjwq",
  "modified": "2022-12-09T16:45:25Z",
  "published": "2022-07-01T00:01:08Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-34816"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/jenkinsci/hpe-network-virtualization-plugin"
    },
    {
      "type": "WEB",
      "url": "https://www.jenkins.io/security/advisory/2022-06-30/#SECURITY-2080"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N",
      "type": "CVSS_V3"
    }
  ],
  "summary": "Passwords stored in plain text by Jenkins hpe-network-virtualization plugin"
}



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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

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