FKIE_CVE-2023-49946

Vulnerability from fkie_nvd - Published: 2023-12-03 19:15 - Updated: 2026-06-17 06:36
Summary
In Forgejo before 1.20.5-1, certain endpoints do not check whether an object belongs to a repository for which permissions are being checked. This allows remote attackers to read private issues, read private pull requests, delete issues, and perform other unauthorized actions.
Impacted products
Vendor Product Version
forgejo forgejo *

{
  "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:forgejo:forgejo:*:*:*:*:*:*:*:*",
              "matchCriteriaId": "EE9913E5-1861-45BB-AFAA-03E470042C7C",
              "versionEndExcluding": "1.20.5-1",
              "vulnerable": true
            }
          ],
          "negate": false,
          "operator": "OR"
        }
      ]
    }
  ],
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "In Forgejo before 1.20.5-1, certain endpoints do not check whether an object belongs to a repository for which permissions are being checked. This allows remote attackers to read private issues, read private pull requests, delete issues, and perform other unauthorized actions."
    },
    {
      "lang": "es",
      "value": "En Forgejo anterior a 1.20.5-1, ciertos endpoints no verifican si un objeto pertenece a un repositorio cuyos permisos se est\u00e1n verificando. Esto permite a atacantes remotos leer problemas privados, leer solicitudes de extracci\u00f3n privadas, eliminar problemas y realizar otras acciones no autorizadas."
    }
  ],
  "id": "CVE-2023-49946",
  "lastModified": "2026-06-17T06:36:45.147",
  "metrics": {
    "cvssMetricV31": [
      {
        "cvssData": {
          "attackComplexity": "LOW",
          "attackVector": "NETWORK",
          "availabilityImpact": "NONE",
          "baseScore": 9.1,
          "baseSeverity": "CRITICAL",
          "confidentialityImpact": "HIGH",
          "integrityImpact": "HIGH",
          "privilegesRequired": "NONE",
          "scope": "UNCHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:N",
          "version": "3.1"
        },
        "exploitabilityScore": 3.9,
        "impactScore": 5.2,
        "source": "nvd@nist.gov",
        "type": "Primary"
      }
    ]
  },
  "published": "2023-12-03T19:15:08.227",
  "references": [
    {
      "source": "cve@mitre.org",
      "tags": [
        "Not Applicable"
      ],
      "url": "https://about.gitea.com/security"
    },
    {
      "source": "cve@mitre.org",
      "tags": [
        "Release Notes",
        "Vendor Advisory"
      ],
      "url": "https://codeberg.org/forgejo/forgejo/src/branch/forgejo/RELEASE-NOTES.md"
    },
    {
      "source": "cve@mitre.org",
      "tags": [
        "Release Notes",
        "Vendor Advisory"
      ],
      "url": "https://forgejo.org/2023-11-release-v1-20-5-1/"
    },
    {
      "source": "cve@mitre.org",
      "tags": [
        "Not Applicable"
      ],
      "url": "https://github.com/gogs/gogs/security"
    },
    {
      "source": "af854a3a-2127-422b-91ae-364da2661108",
      "tags": [
        "Not Applicable"
      ],
      "url": "https://about.gitea.com/security"
    },
    {
      "source": "af854a3a-2127-422b-91ae-364da2661108",
      "tags": [
        "Release Notes",
        "Vendor Advisory"
      ],
      "url": "https://codeberg.org/forgejo/forgejo/src/branch/forgejo/RELEASE-NOTES.md"
    },
    {
      "source": "af854a3a-2127-422b-91ae-364da2661108",
      "tags": [
        "Release Notes",
        "Vendor Advisory"
      ],
      "url": "https://forgejo.org/2023-11-release-v1-20-5-1/"
    },
    {
      "source": "af854a3a-2127-422b-91ae-364da2661108",
      "tags": [
        "Not Applicable"
      ],
      "url": "https://github.com/gogs/gogs/security"
    }
  ],
  "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…

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.