Vulnerability-Lookup

CNVD-2019-00954

Vulnerability from cnvd - Published: 2019-01-10

Title

OpenRefine任意文件写入漏洞

Description

OpenRefine是一款基于Java的开源工具，它主要用于加载数据、分析数据和清理数据等。 OpenRefine 3.1及之前版本中存在目录遍历漏洞。攻击者可通过导入特制的项目文件利用该漏洞写入任意文件。

Severity

高

Formal description

厂商尚未提供漏洞修复方案，请关注厂商主页更新： https://github.com/OpenRefine/OpenRefine

Reference

https://nvd.nist.gov/vuln/detail/CVE-2019-3580

Impacted products

Name
OpenRefine OpenRefine <=3.1

Show details on source website

JSON

To clipboard

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2019-3580"
    }
  },
  "description": "OpenRefine\u662f\u4e00\u6b3e\u57fa\u4e8eJava\u7684\u5f00\u6e90\u5de5\u5177\uff0c\u5b83\u4e3b\u8981\u7528\u4e8e\u52a0\u8f7d\u6570\u636e\u3001\u5206\u6790\u6570\u636e\u548c\u6e05\u7406\u6570\u636e\u7b49\u3002\n\nOpenRefine 3.1\u53ca\u4e4b\u524d\u7248\u672c\u4e2d\u5b58\u5728\u76ee\u5f55\u904d\u5386\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u901a\u8fc7\u5bfc\u5165\u7279\u5236\u7684\u9879\u76ee\u6587\u4ef6\u5229\u7528\u8be5\u6f0f\u6d1e\u5199\u5165\u4efb\u610f\u6587\u4ef6\u3002",
  "discovererName": "unKnow",
  "formalWay": "\u5382\u5546\u5c1a\u672a\u63d0\u4f9b\u6f0f\u6d1e\u4fee\u590d\u65b9\u6848\uff0c\u8bf7\u5173\u6ce8\u5382\u5546\u4e3b\u9875\u66f4\u65b0\uff1a\r\nhttps://github.com/OpenRefine/OpenRefine",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2019-00954",
  "openTime": "2019-01-10",
  "products": {
    "product": "OpenRefine OpenRefine \u003c=3.1"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2019-3580",
  "serverity": "\u9ad8",
  "submitTime": "2019-01-03",
  "title": "OpenRefine\u4efb\u610f\u6587\u4ef6\u5199\u5165\u6f0f\u6d1e"
}

CVE-2019-3580 (GCVE-0-2019-3580)

Vulnerability from cvelistv5 – Published: 2019-01-03 01:00 – Updated: 2024-09-16 23:10

Summary

OpenRefine through 3.1 allows arbitrary file write because Directory Traversal can occur during the import of a crafted project file.

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

1 reference

URL	Tags
https://github.com/OpenRefine/OpenRefine/issues/1927	x_refsource_MISC

Show details on NVD website

JSON

To clipboard

{
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    "adp": [
      {
        "providerMetadata": {
          "dateUpdated": "2024-08-04T19:12:09.562Z",
          "orgId": "af854a3a-2127-422b-91ae-364da2661108",
          "shortName": "CVE"
        },
        "references": [
          {
            "tags": [
              "x_refsource_MISC",
              "x_transferred"
            ],
            "url": "https://github.com/OpenRefine/OpenRefine/issues/1927"
          }
        ],
        "title": "CVE Program Container"
      }
    ],
    "cna": {
      "affected": [
        {
          "product": "n/a",
          "vendor": "n/a",
          "versions": [
            {
              "status": "affected",
              "version": "n/a"
            }
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        }
      ],
      "descriptions": [
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          "value": "OpenRefine through 3.1 allows arbitrary file write because Directory Traversal can occur during the import of a crafted project file."
        }
      ],
      "problemTypes": [
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          "descriptions": [
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              "lang": "en",
              "type": "text"
            }
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      ],
      "providerMetadata": {
        "dateUpdated": "2019-01-03T01:00:00.000Z",
        "orgId": "8254265b-2729-46b6-b9e3-3dfca2d5bfca",
        "shortName": "mitre"
      },
      "references": [
        {
          "tags": [
            "x_refsource_MISC"
          ],
          "url": "https://github.com/OpenRefine/OpenRefine/issues/1927"
        }
      ],
      "x_legacyV4Record": {
        "CVE_data_meta": {
          "ASSIGNER": "cve@mitre.org",
          "ID": "CVE-2019-3580",
          "STATE": "PUBLIC"
        },
        "affects": {
          "vendor": {
            "vendor_data": [
              {
                "product": {
                  "product_data": [
                    {
                      "product_name": "n/a",
                      "version": {
                        "version_data": [
                          {
                            "version_value": "n/a"
                          }
                        ]
                      }
                    }
                  ]
                },
                "vendor_name": "n/a"
              }
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        },
        "data_format": "MITRE",
        "data_type": "CVE",
        "data_version": "4.0",
        "description": {
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        "problemtype": {
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                  "value": "n/a"
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        "references": {
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              "name": "https://github.com/OpenRefine/OpenRefine/issues/1927",
              "refsource": "MISC",
              "url": "https://github.com/OpenRefine/OpenRefine/issues/1927"
            }
          ]
        }
      }
    }
  },
  "cveMetadata": {
    "assignerOrgId": "8254265b-2729-46b6-b9e3-3dfca2d5bfca",
    "assignerShortName": "mitre",
    "cveId": "CVE-2019-3580",
    "datePublished": "2019-01-03T01:00:00.000Z",
    "dateReserved": "2019-01-02T00:00:00.000Z",
    "dateUpdated": "2024-09-16T23:10:24.440Z",
    "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.