Vulnerability-Lookup

GHSA-HWMC-V6J6-GC2P

Vulnerability from github – Published: 2022-05-24 16:50 – Updated: 2024-04-24 20:31

Summary

Dolibarr Cross Site Request Forgery (CSRF)

Details

Dolibarr 7.0.0 is affected by: Cross Site Request Forgery (CSRF). The impact is: allow malitious html to change user password, disable users and disable password encryptation. The component is: Function User password change, user disable and password encryptation. The attack vector is: admin access malitious urls.

Severity

8.8 (High)


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

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{
  "affected": [
    {
      "package": {
        "ecosystem": "Packagist",
        "name": "dolibarr/dolibarr"
      },
      "versions": [
        "7.0.0"
      ]
    }
  ],
  "aliases": [
    "CVE-2019-1010054"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-352"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2024-04-24T20:31:20Z",
    "nvd_published_at": "2019-07-18T13:15:00Z",
    "severity": "HIGH"
  },
  "details": "Dolibarr 7.0.0 is affected by: Cross Site Request Forgery (CSRF). The impact is: allow malitious html to change user password, disable users and disable password encryptation. The component is: Function User password change, user disable and password encryptation. The attack vector is: admin access malitious urls.",
  "id": "GHSA-hwmc-v6j6-gc2p",
  "modified": "2024-04-24T20:31:20Z",
  "published": "2022-05-24T16:50:37Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2019-1010054"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/Dolibarr/dolibarr"
    },
    {
      "type": "WEB",
      "url": "https://github.com/lucasgcilento/CVE/blob/master/Dolibarr_CSRF"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ],
  "summary": "Dolibarr Cross Site Request Forgery (CSRF)"
}

CVE-2019-1010054 (GCVE-0-2019-1010054)

Vulnerability from cvelistv5 – Published: 2019-07-18 12:52 – Updated: 2024-08-05 03:07

Summary

Severity

No CVSS data available.

CWE

Cross ite Request Forgery (CSRF)

Assigner

dwf CNA

CNA scorecard – unranked: 0 records in the last 180 days, 10 needed details

References

1 reference

URL	Tags
https://github.com/lucasgcilento/CVE/blob/master/…	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
Dolibarr ERP & CRM	Dolibarr	Affected: 7.0.0

Show details on NVD website

JSON

To clipboard

{
  "containers": {
    "adp": [
      {
        "providerMetadata": {
          "dateUpdated": "2024-08-05T03:07:18.176Z",
          "orgId": "af854a3a-2127-422b-91ae-364da2661108",
          "shortName": "CVE"
        },
        "references": [
          {
            "tags": [
              "x_refsource_MISC",
              "x_transferred"
            ],
            "url": "https://github.com/lucasgcilento/CVE/blob/master/Dolibarr_CSRF"
          }
        ],
        "title": "CVE Program Container"
      }
    ],
    "cna": {
      "affected": [
        {
          "product": "Dolibarr",
          "vendor": "Dolibarr ERP \u0026 CRM",
          "versions": [
            {
              "status": "affected",
              "version": "7.0.0"
            }
          ]
        }
      ],
      "descriptions": [
        {
          "lang": "en",
          "value": "Dolibarr 7.0.0 is affected by: Cross Site Request Forgery (CSRF). The impact is: allow malitious html to change user password, disable users and disable password encryptation. The component is: Function User password change, user disable and password encryptation. The attack vector is: admin access malitious urls."
        }
      ],
      "problemTypes": [
        {
          "descriptions": [
            {
              "description": "Cross ite Request Forgery (CSRF)",
              "lang": "en",
              "type": "text"
            }
          ]
        }
      ],
      "providerMetadata": {
        "dateUpdated": "2019-07-18T12:52:13.000Z",
        "orgId": "7556d962-6fb7-411e-85fa-6cd62f095ba8",
        "shortName": "dwf"
      },
      "references": [
        {
          "tags": [
            "x_refsource_MISC"
          ],
          "url": "https://github.com/lucasgcilento/CVE/blob/master/Dolibarr_CSRF"
        }
      ],
      "x_legacyV4Record": {
        "CVE_data_meta": {
          "ASSIGNER": "cve-assign@distributedweaknessfiling.org",
          "ID": "CVE-2019-1010054",
          "STATE": "PUBLIC"
        },
        "affects": {
          "vendor": {
            "vendor_data": [
              {
                "product": {
                  "product_data": [
                    {
                      "product_name": "Dolibarr",
                      "version": {
                        "version_data": [
                          {
                            "version_value": "7.0.0"
                          }
                        ]
                      }
                    }
                  ]
                },
                "vendor_name": "Dolibarr ERP \u0026 CRM"
              }
            ]
          }
        },
        "data_format": "MITRE",
        "data_type": "CVE",
        "data_version": "4.0",
        "description": {
          "description_data": [
            {
              "lang": "eng",
              "value": "Dolibarr 7.0.0 is affected by: Cross Site Request Forgery (CSRF). The impact is: allow malitious html to change user password, disable users and disable password encryptation. The component is: Function User password change, user disable and password encryptation. The attack vector is: admin access malitious urls."
            }
          ]
        },
        "problemtype": {
          "problemtype_data": [
            {
              "description": [
                {
                  "lang": "eng",
                  "value": "Cross ite Request Forgery (CSRF)"
                }
              ]
            }
          ]
        },
        "references": {
          "reference_data": [
            {
              "name": "https://github.com/lucasgcilento/CVE/blob/master/Dolibarr_CSRF",
              "refsource": "MISC",
              "url": "https://github.com/lucasgcilento/CVE/blob/master/Dolibarr_CSRF"
            }
          ]
        }
      }
    }
  },
  "cveMetadata": {
    "assignerOrgId": "7556d962-6fb7-411e-85fa-6cd62f095ba8",
    "assignerShortName": "dwf",
    "cveId": "CVE-2019-1010054",
    "datePublished": "2019-07-18T12:52:13.000Z",
    "dateReserved": "2019-03-20T00:00:00.000Z",
    "dateUpdated": "2024-08-05T03:07:18.176Z",
    "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.

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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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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.

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