Vulnerability-Lookup

GHSA-HCQ4-PVMG-M2GP

Vulnerability from github – Published: 2024-06-01 18:30 – Updated: 2025-01-30 15:31

Details

A Regular Expression Denial of Service (ReDoS) vulnerability exists in the lunary-ai/lunary application, version 1.2.10. An attacker can exploit this vulnerability by maliciously manipulating regular expressions, which can significantly impact the response time of the application and potentially render it completely non-functional. Specifically, the vulnerability can be triggered by sending a specially crafted request to the application, leading to a denial of service where the application crashes.

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-2024-4148"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-1333",
      "CWE-400"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2024-06-01T16:15:07Z",
    "severity": "HIGH"
  },
  "details": "A Regular Expression Denial of Service (ReDoS) vulnerability exists in the lunary-ai/lunary application, version 1.2.10. An attacker can exploit this vulnerability by maliciously manipulating regular expressions, which can significantly impact the response time of the application and potentially render it completely non-functional. Specifically, the vulnerability can be triggered by sending a specially crafted request to the application, leading to a denial of service where the application crashes.",
  "id": "GHSA-hcq4-pvmg-m2gp",
  "modified": "2025-01-30T15:31:36Z",
  "published": "2024-06-01T18:30:46Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2024-4148"
    },
    {
      "type": "WEB",
      "url": "https://github.com/lunary-ai/lunary/commit/1e8a3d941ba5cfef2c478dd5bac4e4a4b4d67830"
    },
    {
      "type": "WEB",
      "url": "https://huntr.com/bounties/eca4ad45-2a38-4f3c-9ec1-8205cd51be31"
    }
  ],
  "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-2024-4148 (GCVE-0-2024-4148)

Vulnerability from cvelistv5 – Published: 2024-06-01 15:54 – Updated: 2025-01-30 13:09

Title

Redos (Regular Expression Denial of Service) 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 2024-06-03 15:56 UTC

CWE

CWE-1333 - Inefficient Regular Expression Complexity

Assigner

@huntr_ai mitre root

References

2 references

URL	Tags
https://huntr.com/bounties/eca4ad45-2a38-4f3c-9ec…
https://github.com/lunary-ai/lunary/commit/1e8a3d…

Impacted products

2 products

Vendor	Product	Version
lunary-ai	lunary-ai/lunary	Affected: unspecified , < 1.3.4 (custom)
lunary-ai	lunary	Affected: 1.2.10 cpe:2.3:a:lunary-ai:lunary:1.2.10:::::::*

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JSON

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{
  "containers": {
    "adp": [
      {
        "affected": [
          {
            "cpes": [
              "cpe:2.3:a:lunary-ai:lunary:1.2.10:*:*:*:*:*:*:*"
            ],
            "defaultStatus": "unknown",
            "product": "lunary",
            "vendor": "lunary-ai",
            "versions": [
              {
                "status": "affected",
                "version": "1.2.10"
              }
            ]
          }
        ],
        "metrics": [
          {
            "other": {
              "content": {
                "id": "CVE-2024-4148",
                "options": [
                  {
                    "Exploitation": "poc"
                  },
                  {
                    "Automatable": "yes"
                  },
                  {
                    "Technical Impact": "partial"
                  }
                ],
                "role": "CISA Coordinator",
                "timestamp": "2024-06-03T15:56:16.236144Z",
                "version": "2.0.3"
              },
              "type": "ssvc"
            }
          }
        ],
        "providerMetadata": {
          "dateUpdated": "2024-06-04T17:56:23.508Z",
          "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
          "shortName": "CISA-ADP"
        },
        "title": "CISA ADP Vulnrichment"
      },
      {
        "providerMetadata": {
          "dateUpdated": "2024-08-01T20:33:52.524Z",
          "orgId": "af854a3a-2127-422b-91ae-364da2661108",
          "shortName": "CVE"
        },
        "references": [
          {
            "tags": [
              "x_transferred"
            ],
            "url": "https://huntr.com/bounties/eca4ad45-2a38-4f3c-9ec1-8205cd51be31"
          }
        ],
        "title": "CVE Program Container"
      }
    ],
    "cna": {
      "affected": [
        {
          "product": "lunary-ai/lunary",
          "vendor": "lunary-ai",
          "versions": [
            {
              "lessThan": "1.3.4",
              "status": "affected",
              "version": "unspecified",
              "versionType": "custom"
            }
          ]
        }
      ],
      "descriptions": [
        {
          "lang": "en",
          "value": "A Regular Expression Denial of Service (ReDoS) vulnerability exists in the lunary-ai/lunary application, version 1.2.10. An attacker can exploit this vulnerability by maliciously manipulating regular expressions, which can significantly impact the response time of the application and potentially render it completely non-functional. Specifically, the vulnerability can be triggered by sending a specially crafted request to the application, leading to a denial of service where the application crashes."
        }
      ],
      "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-1333",
              "description": "CWE-1333 Inefficient Regular Expression Complexity",
              "lang": "en",
              "type": "CWE"
            }
          ]
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      ],
      "providerMetadata": {
        "dateUpdated": "2025-01-30T13:09:21.705Z",
        "orgId": "c09c270a-b464-47c1-9133-acb35b22c19a",
        "shortName": "@huntr_ai"
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      "references": [
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          "url": "https://huntr.com/bounties/eca4ad45-2a38-4f3c-9ec1-8205cd51be31"
        },
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          "url": "https://github.com/lunary-ai/lunary/commit/1e8a3d941ba5cfef2c478dd5bac4e4a4b4d67830"
        }
      ],
      "source": {
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        "discovery": "EXTERNAL"
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      "title": "Redos (Regular Expression Denial of Service) in lunary-ai/lunary"
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    "assignerOrgId": "c09c270a-b464-47c1-9133-acb35b22c19a",
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    "cveId": "CVE-2024-4148",
    "datePublished": "2024-06-01T15:54:36.486Z",
    "dateReserved": "2024-04-24T21:01:47.587Z",
    "dateUpdated": "2025-01-30T13:09:21.705Z",
    "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.