GCVE Workshop - 22 September 2026 (14:00-18:00), Luxembourg Before The Vulnopticon Conference - Registration

CVE-2024-8999 (GCVE-0-2024-8999)

Vulnerability from cvelistv5 – Published: 2025-03-20 10:08 – Updated: 2025-10-15 12:49
VLAI
Title
Improper Access Control in lunary-ai/lunary
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.
Severity
9.8 (Critical)
CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
SSVC
Exploitation: poc Automatable: yes Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-03-20 17:51 UTC
CWE
Assigner
References
Impacted products
Vendor Product Version CPE status
lunary-ai lunary-ai/lunary Affected: unspecified , < 1.4.26 (custom)
guessed Create a notification for this product.
Show details on NVD website
To clipboard 

{
  "containers": {
    "adp": [
      {
        "metrics": [
          {
            "other": {
              "content": {
                "id": "CVE-2024-8999",
                "options": [
                  {
                    "Exploitation": "poc"
                  },
                  {
                    "Automatable": "yes"
                  },
                  {
                    "Technical Impact": "total"
                  }
                ],
                "role": "CISA Coordinator",
                "timestamp": "2025-03-20T17:51:34.456058Z",
                "version": "2.0.3"
              },
              "type": "ssvc"
            }
          }
        ],
        "providerMetadata": {
          "dateUpdated": "2025-03-20T19:01:44.234Z",
          "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
          "shortName": "CISA-ADP"
        },
        "title": "CISA ADP Vulnrichment"
      }
    ],
    "cna": {
      "affected": [
        {
          "product": "lunary-ai/lunary",
          "vendor": "lunary-ai",
          "versions": [
            {
              "lessThan": "1.4.26",
              "status": "affected",
              "version": "unspecified",
              "versionType": "custom"
            }
          ]
        }
      ],
      "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."
        }
      ],
      "metrics": [
        {
          "cvssV3_0": {
            "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"
          }
        }
      ],
      "problemTypes": [
        {
          "descriptions": [
            {
              "cweId": "CWE-862",
              "description": "CWE-862 Missing Authorization",
              "lang": "en",
              "type": "CWE"
            }
          ]
        }
      ],
      "providerMetadata": {
        "dateUpdated": "2025-10-15T12:49:59.295Z",
        "orgId": "c09c270a-b464-47c1-9133-acb35b22c19a",
        "shortName": "@huntr_ai"
      },
      "references": [
        {
          "url": "https://huntr.com/bounties/d42b7a44-0dcb-4ef0-b15c-d0e558da65c6"
        },
        {
          "url": "https://github.com/lunary-ai/lunary/commit/aa0fd22952d1d84a717ae563eb1ab564d94a9e2b"
        }
      ],
      "source": {
        "advisory": "d42b7a44-0dcb-4ef0-b15c-d0e558da65c6",
        "discovery": "EXTERNAL"
      },
      "title": "Improper Access Control in lunary-ai/lunary"
    }
  },
  "cveMetadata": {
    "assignerOrgId": "c09c270a-b464-47c1-9133-acb35b22c19a",
    "assignerShortName": "@huntr_ai",
    "cveId": "CVE-2024-8999",
    "datePublished": "2025-03-20T10:08:51.051Z",
    "dateReserved": "2024-09-19T14:18:48.818Z",
    "dateUpdated": "2025-10-15T12:49:59.295Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.1",
  "vulnerability-lookup:meta": {
    "epss": {
      "cve": "CVE-2024-8999",
      "date": "2026-09-16",
      "epss": "0.0078",
      "percentile": "0.54171"
    },
    "nvd": "{\"cve\":{\"id\":\"CVE-2024-8999\",\"sourceIdentifier\":\"security@huntr.dev\",\"published\":\"2025-03-20T10:15:45.830\",\"lastModified\":\"2026-06-17T08:23:45.750\",\"vulnStatus\":\"Modified\",\"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.\"}],\"affected\":[{\"source\":\"security@huntr.dev\",\"affectedData\":[{\"vendor\":\"lunary-ai\",\"product\":\"lunary-ai/lunary\",\"versions\":[{\"version\":\"unspecified\",\"lessThan\":\"1.4.26\",\"versionType\":\"custom\",\"status\":\"affected\"}]}]}],\"metrics\":{\"cvssMetricV31\":[{\"source\":\"nvd@nist.gov\",\"type\":\"Primary\",\"cvssData\":{\"version\":\"3.1\",\"vectorString\":\"CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N\",\"baseScore\":7.5,\"baseSeverity\":\"HIGH\",\"attackVector\":\"NETWORK\",\"attackComplexity\":\"LOW\",\"privilegesRequired\":\"NONE\",\"userInteraction\":\"NONE\",\"scope\":\"UNCHANGED\",\"confidentialityImpact\":\"HIGH\",\"integrityImpact\":\"NONE\",\"availabilityImpact\":\"NONE\"},\"exploitabilityScore\":3.9,\"impactScore\":3.6}],\"cvssMetricV30\":[{\"source\":\"security@huntr.dev\",\"type\":\"Secondary\",\"cvssData\":{\"version\":\"3.0\",\"vectorString\":\"CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H\",\"baseScore\":9.8,\"baseSeverity\":\"CRITICAL\",\"attackVector\":\"NETWORK\",\"attackComplexity\":\"LOW\",\"privilegesRequired\":\"NONE\",\"userInteraction\":\"NONE\",\"scope\":\"UNCHANGED\",\"confidentialityImpact\":\"HIGH\",\"integrityImpact\":\"HIGH\",\"availabilityImpact\":\"HIGH\"},\"exploitabilityScore\":3.9,\"impactScore\":5.9}],\"ssvcV203\":[{\"source\":\"134c704f-9b21-4f2e-91b3-4a467353bcc0\",\"ssvcData\":{\"timestamp\":\"2025-03-20T17:51:34.456058Z\",\"id\":\"CVE-2024-8999\",\"options\":[{\"exploitation\":\"poc\"},{\"automatable\":\"yes\"},{\"technicalImpact\":\"total\"}],\"role\":\"CISA Coordinator\",\"version\":\"2.0.3\"}}]},\"weaknesses\":[{\"source\":\"security@huntr.dev\",\"type\":\"Secondary\",\"description\":[{\"lang\":\"en\",\"value\":\"CWE-862\"}]},{\"source\":\"nvd@nist.gov\",\"type\":\"Secondary\",\"description\":[{\"lang\":\"en\",\"value\":\"NVD-CWE-noinfo\"}]}],\"configurations\":[{\"nodes\":[{\"operator\":\"OR\",\"negate\":false,\"cpeMatch\":[{\"vulnerable\":true,\"criteria\":\"cpe:2.3:a:lunary:lunary:*:*:*:*:*:*:*:*\",\"versionEndExcluding\":\"1.4.26\",\"matchCriteriaId\":\"7F305269-C264-41FA-9611-4F271C6CF9EE\"}]}]}],\"references\":[{\"url\":\"https://github.com/lunary-ai/lunary/commit/aa0fd22952d1d84a717ae563eb1ab564d94a9e2b\",\"source\":\"security@huntr.dev\",\"tags\":[\"Patch\"]},{\"url\":\"https://huntr.com/bounties/d42b7a44-0dcb-4ef0-b15c-d0e558da65c6\",\"source\":\"security@huntr.dev\",\"tags\":[\"Exploit\",\"Third Party Advisory\"]}]}}",
    "redhat_vex": {
      "current_release_date": "2025-05-28T22:24:31+00:00",
      "cve": "CVE-2024-8999",
      "id": "CVE-2024-8999",
      "initial_release_date": "2024-01-01T00:00:00+00:00",
      "product_status:known_not_affected": "1",
      "source": "Red Hat CSAF VEX",
      "status": "final",
      "title": "Improper Access Control in lunary-ai/lunary",
      "url": "https://security.access.redhat.com/data/csaf/v2/vex/2024/cve-2024-8999.json",
      "version": "3"
    },
    "vulnrichment": {
      "containers": "{\"adp\": [{\"title\": \"CISA ADP Vulnrichment\", \"metrics\": [{\"other\": {\"type\": \"ssvc\", \"content\": {\"id\": \"CVE-2024-8999\", \"role\": \"CISA Coordinator\", \"options\": [{\"Exploitation\": \"poc\"}, {\"Automatable\": \"yes\"}, {\"Technical Impact\": \"total\"}], \"version\": \"2.0.3\", \"timestamp\": \"2025-03-20T17:51:34.456058Z\"}}}], \"providerMetadata\": {\"orgId\": \"134c704f-9b21-4f2e-91b3-4a467353bcc0\", \"shortName\": \"CISA-ADP\", \"dateUpdated\": \"2025-03-20T17:53:04.860Z\"}}], \"cna\": {\"title\": \"Improper Access Control in lunary-ai/lunary\", \"source\": {\"advisory\": \"d42b7a44-0dcb-4ef0-b15c-d0e558da65c6\", \"discovery\": \"EXTERNAL\"}, \"metrics\": [{\"cvssV3_0\": {\"scope\": \"UNCHANGED\", \"version\": \"3.0\", \"baseScore\": 9.8, \"attackVector\": \"NETWORK\", \"baseSeverity\": \"CRITICAL\", \"vectorString\": \"CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H\", \"integrityImpact\": \"HIGH\", \"userInteraction\": \"NONE\", \"attackComplexity\": \"LOW\", \"availabilityImpact\": \"HIGH\", \"privilegesRequired\": \"NONE\", \"confidentialityImpact\": \"HIGH\"}}], \"affected\": [{\"vendor\": \"lunary-ai\", \"product\": \"lunary-ai/lunary\", \"versions\": [{\"status\": \"affected\", \"version\": \"unspecified\", \"lessThan\": \"1.4.26\", \"versionType\": \"custom\"}]}], \"references\": [{\"url\": \"https://huntr.com/bounties/d42b7a44-0dcb-4ef0-b15c-d0e558da65c6\"}, {\"url\": \"https://github.com/lunary-ai/lunary/commit/aa0fd22952d1d84a717ae563eb1ab564d94a9e2b\"}], \"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.\"}], \"problemTypes\": [{\"descriptions\": [{\"lang\": \"en\", \"type\": \"CWE\", \"cweId\": \"CWE-284\", \"description\": \"CWE-284 Improper Access Control\"}]}], \"providerMetadata\": {\"orgId\": \"c09c270a-b464-47c1-9133-acb35b22c19a\", \"shortName\": \"@huntr_ai\", \"dateUpdated\": \"2025-03-20T10:08:51.051Z\"}}}",
      "cveMetadata": "{\"cveId\": \"CVE-2024-8999\", \"state\": \"PUBLISHED\", \"dateUpdated\": \"2025-03-20T19:01:44.234Z\", \"dateReserved\": \"2024-09-19T14:18:48.818Z\", \"assignerOrgId\": \"c09c270a-b464-47c1-9133-acb35b22c19a\", \"datePublished\": \"2025-03-20T10:08:51.051Z\", \"assignerShortName\": \"@huntr_ai\"}",
      "dataType": "CVE_RECORD",
      "dataVersion": "5.1"
    }
  }
}



Log in or create an account to share your comment.




Tags
Taxonomy of the tags.





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.


Detection rules are retrieved from Rulezet.


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.