Vulnerability-Lookup

GHSA-RQRM-P43G-FPMQ

Vulnerability from github – Published: 2025-03-20 12:32 – Updated: 2025-03-20 12:32

Details

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

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{
  "affected": [],
  "aliases": [
    "CVE-2024-8999"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-284",
      "CWE-862"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2025-03-20T10:15:45Z",
    "severity": "CRITICAL"
  },
  "details": "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.",
  "id": "GHSA-rqrm-p43g-fpmq",
  "modified": "2025-03-20T12:32:49Z",
  "published": "2025-03-20T12:32:49Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2024-8999"
    },
    {
      "type": "WEB",
      "url": "https://github.com/lunary-ai/lunary/commit/aa0fd22952d1d84a717ae563eb1ab564d94a9e2b"
    },
    {
      "type": "WEB",
      "url": "https://huntr.com/bounties/d42b7a44-0dcb-4ef0-b15c-d0e558da65c6"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ]
}

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

Vulnerability from cvelistv5 – Published: 2025-03-20 10:08 – Updated: 2025-10-15 12:49

Title

Improper Access Control in lunary-ai/lunary

Summary

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

CWE-862 - Missing Authorization

Assigner

@huntr_ai mitre root

References

2 references

URL	Tags
https://huntr.com/bounties/d42b7a44-0dcb-4ef0-b15…
https://github.com/lunary-ai/lunary/commit/aa0fd2…

Impacted products

1 product

Vendor	Product	Version
lunary-ai	lunary-ai/lunary	Affected: unspecified , < 1.4.26 (custom)

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  "containers": {
    "adp": [
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        "metrics": [
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              "content": {
                "id": "CVE-2024-8999",
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                    "Exploitation": "poc"
                  },
                  {
                    "Automatable": "yes"
                  },
                  {
                    "Technical Impact": "total"
                  }
                ],
                "role": "CISA Coordinator",
                "timestamp": "2025-03-20T17:51:34.456058Z",
                "version": "2.0.3"
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        ],
        "providerMetadata": {
          "dateUpdated": "2025-03-20T19:01:44.234Z",
          "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
          "shortName": "CISA-ADP"
        },
        "title": "CISA ADP Vulnrichment"
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    ],
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        {
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          "vendor": "lunary-ai",
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        }
      ],
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        {
          "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",
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          }
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    "state": "PUBLISHED"
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  "dataType": "CVE_RECORD",
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}

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.

The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base model, served locally by ML-Gateway. They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.

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.