FKIE_CVE-2023-29016

Vulnerability from fkie_nvd - Published: 2023-04-06 20:15 - Updated: 2024-11-21 07:56
Summary
The Goobi viewer is a web application that allows digitised material to be displayed in a web browser. A cross-site scripting vulnerability has been identified in Goobi viewer core prior to version 23.03 when using nicknames. An attacker could create a user account and enter malicious scripts into their profile's nickname, resulting in the execution in the user's browser when displaying the nickname on certain pages. The vulnerability has been fixed in version 23.03.
Impacted products
Vendor Product Version
intranda goobi_viewer_core *

{
  "configurations": [
    {
      "nodes": [
        {
          "cpeMatch": [
            {
              "criteria": "cpe:2.3:a:intranda:goobi_viewer_core:*:*:*:*:*:*:*:*",
              "matchCriteriaId": "F8174D86-7F9F-4ADD-85CA-16EB572F1F26",
              "versionEndExcluding": "23.03",
              "vulnerable": true
            }
          ],
          "negate": false,
          "operator": "OR"
        }
      ]
    }
  ],
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "The Goobi viewer is a web application that allows digitised material to be displayed in a web browser. A cross-site scripting vulnerability has been identified in Goobi viewer core prior to version 23.03 when using nicknames. An attacker could create a user account and enter malicious scripts into their profile\u0027s nickname, resulting in the execution in the user\u0027s browser when displaying the nickname on certain pages. The vulnerability has been fixed in version 23.03."
    }
  ],
  "id": "CVE-2023-29016",
  "lastModified": "2024-11-21T07:56:24.023",
  "metrics": {
    "cvssMetricV31": [
      {
        "cvssData": {
          "attackComplexity": "LOW",
          "attackVector": "NETWORK",
          "availabilityImpact": "NONE",
          "baseScore": 6.1,
          "baseSeverity": "MEDIUM",
          "confidentialityImpact": "LOW",
          "integrityImpact": "LOW",
          "privilegesRequired": "NONE",
          "scope": "CHANGED",
          "userInteraction": "REQUIRED",
          "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N",
          "version": "3.1"
        },
        "exploitabilityScore": 2.8,
        "impactScore": 2.7,
        "source": "security-advisories@github.com",
        "type": "Secondary"
      },
      {
        "cvssData": {
          "attackComplexity": "LOW",
          "attackVector": "NETWORK",
          "availabilityImpact": "NONE",
          "baseScore": 6.1,
          "baseSeverity": "MEDIUM",
          "confidentialityImpact": "LOW",
          "integrityImpact": "LOW",
          "privilegesRequired": "NONE",
          "scope": "CHANGED",
          "userInteraction": "REQUIRED",
          "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N",
          "version": "3.1"
        },
        "exploitabilityScore": 2.8,
        "impactScore": 2.7,
        "source": "nvd@nist.gov",
        "type": "Primary"
      }
    ]
  },
  "published": "2023-04-06T20:15:08.667",
  "references": [
    {
      "source": "security-advisories@github.com",
      "tags": [
        "Patch"
      ],
      "url": "https://github.com/intranda/goobi-viewer-core/commit/8eadb32b3fdcb775678b74d95bc3df018a5d5238"
    },
    {
      "source": "security-advisories@github.com",
      "tags": [
        "Vendor Advisory"
      ],
      "url": "https://github.com/intranda/goobi-viewer-core/security/advisories/GHSA-2r9r-8fcg-m38g"
    },
    {
      "source": "af854a3a-2127-422b-91ae-364da2661108",
      "tags": [
        "Patch"
      ],
      "url": "https://github.com/intranda/goobi-viewer-core/commit/8eadb32b3fdcb775678b74d95bc3df018a5d5238"
    },
    {
      "source": "af854a3a-2127-422b-91ae-364da2661108",
      "tags": [
        "Vendor Advisory"
      ],
      "url": "https://github.com/intranda/goobi-viewer-core/security/advisories/GHSA-2r9r-8fcg-m38g"
    }
  ],
  "sourceIdentifier": "security-advisories@github.com",
  "vulnStatus": "Modified",
  "weaknesses": [
    {
      "description": [
        {
          "lang": "en",
          "value": "CWE-79"
        }
      ],
      "source": "security-advisories@github.com",
      "type": "Secondary"
    }
  ]
}


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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.

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