Vulnerability-Lookup

CNVD-2025-06932

Vulnerability from cnvd - Published: 2025-04-10

Title

Lunary /api/v1/data-warehouse/bigquery端点访问控制错误漏洞

Description

Lunary是Lunary开源的一个LLM的生产工具包。 Lunary存在访问控制错误漏洞，该漏洞源于POST /api/v1/data-warehouse/bigquery端点未进行适当的访问控制，攻击者可利用此漏洞获取敏感信息。

Severity

高

Patch Name

Lunary /api/v1/data-warehouse/bigquery端点访问控制错误漏洞的补丁

Patch Description

Lunary是Lunary开源的一个LLM的生产工具包。 Lunary存在访问控制错误漏洞，该漏洞源于POST /api/v1/data-warehouse/bigquery端点未进行适当的访问控制，攻击者可利用此漏洞获取敏感信息。目前，供应商发布了安全公告及相关补丁信息，修复了此漏洞。

Formal description

厂商已发布了漏洞修复程序，请及时关注更新： https://github.com/lunary-ai/lunary/commit/aa0fd22952d1d84a717ae563eb1ab564d94a9e2b

Reference

https://github.com/lunary-ai/lunary/commit/aa0fd22952d1d84a717ae563eb1ab564d94a9e2b

Impacted products

Name
lunary lunary v1.4.25

Show details on source website

JSON

To clipboard

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2024-8999",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2024-8999"
    }
  },
  "description": "Lunary\u662fLunary\u5f00\u6e90\u7684\u4e00\u4e2aLLM\u7684\u751f\u4ea7\u5de5\u5177\u5305\u3002\n\nLunary\u5b58\u5728\u8bbf\u95ee\u63a7\u5236\u9519\u8bef\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8ePOST /api/v1/data-warehouse/bigquery\u7aef\u70b9\u672a\u8fdb\u884c\u9002\u5f53\u7684\u8bbf\u95ee\u63a7\u5236\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u6b64\u6f0f\u6d1e\u83b7\u53d6\u654f\u611f\u4fe1\u606f\u3002",
  "formalWay": "\u5382\u5546\u5df2\u53d1\u5e03\u4e86\u6f0f\u6d1e\u4fee\u590d\u7a0b\u5e8f\uff0c\u8bf7\u53ca\u65f6\u5173\u6ce8\u66f4\u65b0\uff1a\r\nhttps://github.com/lunary-ai/lunary/commit/aa0fd22952d1d84a717ae563eb1ab564d94a9e2b",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2025-06932",
  "openTime": "2025-04-10",
  "patchDescription": "Lunary\u662fLunary\u5f00\u6e90\u7684\u4e00\u4e2aLLM\u7684\u751f\u4ea7\u5de5\u5177\u5305\u3002\r\n\r\nLunary\u5b58\u5728\u8bbf\u95ee\u63a7\u5236\u9519\u8bef\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8ePOST /api/v1/data-warehouse/bigquery\u7aef\u70b9\u672a\u8fdb\u884c\u9002\u5f53\u7684\u8bbf\u95ee\u63a7\u5236\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u6b64\u6f0f\u6d1e\u83b7\u53d6\u654f\u611f\u4fe1\u606f\u3002\u76ee\u524d\uff0c\u4f9b\u5e94\u5546\u53d1\u5e03\u4e86\u5b89\u5168\u516c\u544a\u53ca\u76f8\u5173\u8865\u4e01\u4fe1\u606f\uff0c\u4fee\u590d\u4e86\u6b64\u6f0f\u6d1e\u3002",
  "patchName": "Lunary /api/v1/data-warehouse/bigquery\u7aef\u70b9\u8bbf\u95ee\u63a7\u5236\u9519\u8bef\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "lunary lunary v1.4.25"
  },
  "referenceLink": "https://github.com/lunary-ai/lunary/commit/aa0fd22952d1d84a717ae563eb1ab564d94a9e2b",
  "serverity": "\u9ad8",
  "submitTime": "2025-03-27",
  "title": "Lunary /api/v1/data-warehouse/bigquery\u7aef\u70b9\u8bbf\u95ee\u63a7\u5236\u9519\u8bef\u6f0f\u6d1e"
}

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

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

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)

Show details on NVD website

JSON

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{
  "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"
}

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.