Vulnerability-Lookup

GHSA-R9CM-PW9J-3FPX

Vulnerability from github – Published: 2023-11-01 09:30 – Updated: 2023-11-01 17:17

Summary

Dolibarr Improper Input Validation vulnerability

Details

Improper input validation in Dolibarr ERP CRM <= v18.0.1 fails to strip certain PHP code from user-supplied input when creating a Website, allowing an attacker to inject and evaluate arbitrary PHP code.

Severity

7.5 (High)


                  
                    CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:H/I:H/A:H

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{
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    {
      "package": {
        "ecosystem": "Packagist",
        "name": "dolibarr/dolibarr"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "18.0.2"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2023-4197"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-20",
      "CWE-74"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2023-11-01T17:17:07Z",
    "nvd_published_at": "2023-11-01T08:15:07Z",
    "severity": "HIGH"
  },
  "details": "Improper input validation in Dolibarr ERP CRM \u003c= v18.0.1 fails to strip certain PHP code from user-supplied input when creating a Website, allowing an attacker to inject and evaluate arbitrary PHP code.",
  "id": "GHSA-r9cm-pw9j-3fpx",
  "modified": "2023-11-01T17:17:07Z",
  "published": "2023-11-01T09:30:53Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2023-4197"
    },
    {
      "type": "WEB",
      "url": "https://github.com/Dolibarr/dolibarr/commit/0ed6a63fb06be88be5a4f8bcdee83185eee4087e"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/Dolibarr/dolibarr"
    },
    {
      "type": "WEB",
      "url": "https://starlabs.sg/advisories/23/23-4197"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ],
  "summary": "Dolibarr Improper Input Validation vulnerability"
}

CVE-2023-4197 (GCVE-0-2023-4197)

Vulnerability from cvelistv5 – Published: 2023-11-01 07:58 – Updated: 2024-09-05 19:57

Title

Dolibarr ERP CRM (<= 18.0.1) Improper Input Sanitization Authenticated RCE

Summary

Severity

7.5 (High)


                        
                          CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:H/I:H/A:H

SSVC

Exploitation: poc Automatable: no Technical Impact: total

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2024-09-05 19:57 UTC

CWE

CWE-20 - Improper Input Validation

Assigner

STAR_Labs CNA under the mitre root

CNA scorecard – unranked: 1 record in the last 180 days, 10 needed details

References

2 references

URL	Tags
https://starlabs.sg/advisories/23/23-4197	third-party-advisory
https://github.com/Dolibarr/dolibarr/commit/0ed6a…	patch

Impacted products

1 product

Vendor	Product	Version
Dolibarr	Dolibarr ERP CRM	Affected: 0 , ≤ 18.0.1 (semver)

Credits

Poh Jia Hao (@Chocologicall) of STAR Labs SG Pte. Ltd. (@starlabs_sg)

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JSON

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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.

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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.
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