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FKIE_CVE-2024-8999

Vulnerability from fkie_nvd - Published: 2025-03-20 10:15 - Updated: 2026-06-17 08:23
Severity
7.5 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
Summary
lunary-ai/lunary version v1.4.25 contains an improper access control vulnerability in the POST /api/v1/data-warehouse/bigquery endpoint. This vulnerability allows any user to export the entire database data by creating a stream to Google BigQuery without proper authentication or authorization. The issue is fixed in version 1.4.26.
References
security@huntr.devhttps://github.com/lunary-ai/lunary/commit/aa0fd22952d1d84a717ae563eb1ab564d94a9e2bPatch
security@huntr.devhttps://huntr.com/bounties/d42b7a44-0dcb-4ef0-b15c-d0e558da65c6Exploit, Third Party Advisory
Impacted products
Vendor Product Version
lunary lunary *
To clipboard 

{
  "affected": [
    {
      "affectedData": [
        {
          "product": "lunary-ai/lunary",
          "vendor": "lunary-ai",
          "versions": [
            {
              "lessThan": "1.4.26",
              "status": "affected",
              "version": "unspecified",
              "versionType": "custom"
            }
          ]
        }
      ],
      "source": "security@huntr.dev"
    }
  ],
  "configurations": [
    {
      "nodes": [
        {
          "cpeMatch": [
            {
              "criteria": "cpe:2.3:a:lunary:lunary:*:*:*:*:*:*:*:*",
              "matchCriteriaId": "7F305269-C264-41FA-9611-4F271C6CF9EE",
              "versionEndExcluding": "1.4.26",
              "vulnerable": true
            }
          ],
          "negate": false,
          "operator": "OR"
        }
      ]
    }
  ],
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "lunary-ai/lunary version v1.4.25 contains an improper access control vulnerability in the POST /api/v1/data-warehouse/bigquery endpoint. This vulnerability allows any user to export the entire database data by creating a stream to Google BigQuery without proper authentication or authorization. The issue is fixed in version 1.4.26."
    },
    {
      "lang": "es",
      "value": "La versi\u00f3n v1.4.25 de lunary-ai/lunary contiene una vulnerabilidad de control de acceso inadecuado en el endpoint POST /api/v1/data-warehouse/bigquery. Esta vulnerabilidad permite a cualquier usuario exportar todos los datos de la base de datos mediante la creaci\u00f3n de un flujo a Google BigQuery sin la debida autenticaci\u00f3n ni autorizaci\u00f3n. El problema se ha corregido en la versi\u00f3n 1.4.26."
    }
  ],
  "id": "CVE-2024-8999",
  "lastModified": "2026-06-17T08:23:45.750",
  "metrics": {
    "cvssMetricV30": [
      {
        "cvssData": {
          "attackComplexity": "LOW",
          "attackVector": "NETWORK",
          "availabilityImpact": "HIGH",
          "baseScore": 9.8,
          "baseSeverity": "CRITICAL",
          "confidentialityImpact": "HIGH",
          "integrityImpact": "HIGH",
          "privilegesRequired": "NONE",
          "scope": "UNCHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
          "version": "3.0"
        },
        "exploitabilityScore": 3.9,
        "impactScore": 5.9,
        "source": "security@huntr.dev",
        "type": "Secondary"
      }
    ],
    "cvssMetricV31": [
      {
        "cvssData": {
          "attackComplexity": "LOW",
          "attackVector": "NETWORK",
          "availabilityImpact": "NONE",
          "baseScore": 7.5,
          "baseSeverity": "HIGH",
          "confidentialityImpact": "HIGH",
          "integrityImpact": "NONE",
          "privilegesRequired": "NONE",
          "scope": "UNCHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N",
          "version": "3.1"
        },
        "exploitabilityScore": 3.9,
        "impactScore": 3.6,
        "source": "nvd@nist.gov",
        "type": "Primary"
      }
    ],
    "ssvcV203": [
      {
        "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
        "ssvcData": {
          "id": "CVE-2024-8999",
          "options": [
            {
              "exploitation": "poc"
            },
            {
              "automatable": "yes"
            },
            {
              "technicalImpact": "total"
            }
          ],
          "role": "CISA Coordinator",
          "timestamp": "2025-03-20T17:51:34.456058Z",
          "version": "2.0.3"
        }
      }
    ]
  },
  "published": "2025-03-20T10:15:45.830",
  "references": [
    {
      "source": "security@huntr.dev",
      "tags": [
        "Patch"
      ],
      "url": "https://github.com/lunary-ai/lunary/commit/aa0fd22952d1d84a717ae563eb1ab564d94a9e2b"
    },
    {
      "source": "security@huntr.dev",
      "tags": [
        "Exploit",
        "Third Party Advisory"
      ],
      "url": "https://huntr.com/bounties/d42b7a44-0dcb-4ef0-b15c-d0e558da65c6"
    }
  ],
  "sourceIdentifier": "security@huntr.dev",
  "vulnStatus": "Modified",
  "weaknesses": [
    {
      "description": [
        {
          "lang": "en",
          "value": "CWE-862"
        }
      ],
      "source": "security@huntr.dev",
      "type": "Secondary"
    },
    {
      "description": [
        {
          "lang": "en",
          "value": "NVD-CWE-noinfo"
        }
      ],
      "source": "nvd@nist.gov",
      "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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Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
  • Confirmed: The vulnerability has been validated from an analyst's perspective.
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  • 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.


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