Vulnerability-Lookup

GHSA-F662-3VXF-4MP9

Vulnerability from github – Published: 2026-02-02 12:31 – Updated: 2026-02-02 12:31

Details

In lunary-ai/lunary version 1.2.13, an insufficient granularity of access control vulnerability allows users to delete prompts created in other organizations through ID manipulation. The vulnerability stems from the application's failure to validate the ownership of the prompt before deletion, only checking if the user has permissions to delete such resources without verifying if it belongs to the user's project or organization. As a result, users can remove prompts not owned by their organization or project, leading to legitimate users being unable to access the removed prompts and causing information inconsistencies.

Severity

7.5 (High)


                  
                    CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

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{
  "affected": [],
  "aliases": [
    "CVE-2024-4147"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-1220"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-02-02T11:16:16Z",
    "severity": "HIGH"
  },
  "details": "In lunary-ai/lunary version 1.2.13, an insufficient granularity of access control vulnerability allows users to delete prompts created in other organizations through ID manipulation. The vulnerability stems from the application\u0027s failure to validate the ownership of the prompt before deletion, only checking if the user has permissions to delete such resources without verifying if it belongs to the user\u0027s project or organization. As a result, users can remove prompts not owned by their organization or project, leading to legitimate users being unable to access the removed prompts and causing information inconsistencies.",
  "id": "GHSA-f662-3vxf-4mp9",
  "modified": "2026-02-02T12:31:14Z",
  "published": "2026-02-02T12:31:14Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2024-4147"
    },
    {
      "type": "WEB",
      "url": "https://github.com/lunary-ai/lunary/commit/0755dde1afc2a74ec23b55eee03e4416916cf48f"
    },
    {
      "type": "WEB",
      "url": "https://huntr.com/bounties/3f051943-71ea-414c-a528-cd8b5d82a7ad"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
      "type": "CVSS_V3"
    }
  ]
}

CVE-2024-4147 (GCVE-0-2024-4147)

Vulnerability from cvelistv5 – Published: 2026-02-02 10:36 – Updated: 2026-02-02 17:49

Title

Insufficient Access Control in lunary-ai/lunary

Summary

Severity

7.5 (High)


                        
                          CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

SSVC

Exploitation: poc Automatable: yes Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2026-02-02 17:48 UTC

CWE

CWE-1220 - Insufficient Granularity of Access Control

Assigner

@huntr_ai mitre root

References

2 references

URL	Tags
https://huntr.com/bounties/3f051943-71ea-414c-a52…
https://github.com/lunary-ai/lunary/commit/0755dd…

Impacted products

1 product

Vendor	Product	Version
lunary-ai	lunary-ai/lunary	Affected: unspecified , < 1.2.25 (custom)

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{
  "containers": {
    "adp": [
      {
        "metrics": [
          {
            "other": {
              "content": {
                "id": "CVE-2024-4147",
                "options": [
                  {
                    "Exploitation": "poc"
                  },
                  {
                    "Automatable": "yes"
                  },
                  {
                    "Technical Impact": "partial"
                  }
                ],
                "role": "CISA Coordinator",
                "timestamp": "2026-02-02T17:48:58.779714Z",
                "version": "2.0.3"
              },
              "type": "ssvc"
            }
          }
        ],
        "providerMetadata": {
          "dateUpdated": "2026-02-02T17:49:06.647Z",
          "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
          "shortName": "CISA-ADP"
        },
        "title": "CISA ADP Vulnrichment"
      }
    ],
    "cna": {
      "affected": [
        {
          "product": "lunary-ai/lunary",
          "vendor": "lunary-ai",
          "versions": [
            {
              "lessThan": "1.2.25",
              "status": "affected",
              "version": "unspecified",
              "versionType": "custom"
            }
          ]
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      ],
      "descriptions": [
        {
          "lang": "en",
          "value": "In lunary-ai/lunary version 1.2.13, an insufficient granularity of access control vulnerability allows users to delete prompts created in other organizations through ID manipulation. The vulnerability stems from the application\u0027s failure to validate the ownership of the prompt before deletion, only checking if the user has permissions to delete such resources without verifying if it belongs to the user\u0027s project or organization. As a result, users can remove prompts not owned by their organization or project, leading to legitimate users being unable to access the removed prompts and causing information inconsistencies."
        }
      ],
      "metrics": [
        {
          "cvssV3_0": {
            "attackComplexity": "LOW",
            "attackVector": "NETWORK",
            "availabilityImpact": "HIGH",
            "baseScore": 7.5,
            "baseSeverity": "HIGH",
            "confidentialityImpact": "NONE",
            "integrityImpact": "NONE",
            "privilegesRequired": "NONE",
            "scope": "UNCHANGED",
            "userInteraction": "NONE",
            "vectorString": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
            "version": "3.0"
          }
        }
      ],
      "problemTypes": [
        {
          "descriptions": [
            {
              "cweId": "CWE-1220",
              "description": "CWE-1220 Insufficient Granularity of Access Control",
              "lang": "en",
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      "providerMetadata": {
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          "url": "https://huntr.com/bounties/3f051943-71ea-414c-a528-cd8b5d82a7ad"
        },
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          "url": "https://github.com/lunary-ai/lunary/commit/0755dde1afc2a74ec23b55eee03e4416916cf48f"
        }
      ],
      "source": {
        "advisory": "3f051943-71ea-414c-a528-cd8b5d82a7ad",
        "discovery": "EXTERNAL"
      },
      "title": "Insufficient Access Control in lunary-ai/lunary"
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  "cveMetadata": {
    "assignerOrgId": "c09c270a-b464-47c1-9133-acb35b22c19a",
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    "datePublished": "2026-02-02T10:36:22.410Z",
    "dateReserved": "2024-04-24T20:56:06.791Z",
    "dateUpdated": "2026-02-02T17:49:06.647Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.2"
}

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.