Vulnerability-Lookup

CNVD-2017-30953

Vulnerability from cnvd - Published: 2017-10-22

Title

Kanboard设计漏洞（CNVD-2017-30953）

Description

Kanboard是法国软件开发者Frederic Guillot所研发的一套开源的可视化任务板软件。该软件支持根据业务定制面板、任务拖动等。 Kanboard 1.0.47之前的版本中存在安全漏洞。攻击者可通过更改表单数据利用该漏洞从其他用户私人项目中移除列。

Severity

中

Patch Name

Kanboard设计漏洞（CNVD-2017-30953）的补丁

Patch Description

Kanboard是法国软件开发者Frederic Guillot所研发的一套开源的可视化任务板软件。该软件支持根据业务定制面板、任务拖动等。 Kanboard 1.0.47之前的版本中存在安全漏洞。攻击者可通过更改表单数据利用该漏洞从其他用户私人项目中移除列。目前，供应商发布了安全公告及相关补丁信息，修复了此漏洞。

Formal description

厂商已发布漏洞修复程序，请及时关注更新： https://kanboard.net/news/version-1.0.47

Reference

http://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2017-15196

Impacted products

Name
Kanboard Kanboard <1.0.47

Show details on source website

JSON

To clipboard

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2017-15196"
    }
  },
  "description": "Kanboard\u662f\u6cd5\u56fd\u8f6f\u4ef6\u5f00\u53d1\u8005Frederic Guillot\u6240\u7814\u53d1\u7684\u4e00\u5957\u5f00\u6e90\u7684\u53ef\u89c6\u5316\u4efb\u52a1\u677f\u8f6f\u4ef6\u3002\u8be5\u8f6f\u4ef6\u652f\u6301\u6839\u636e\u4e1a\u52a1\u5b9a\u5236\u9762\u677f\u3001\u4efb\u52a1\u62d6\u52a8\u7b49\u3002\r\n\r\nKanboard 1.0.47\u4e4b\u524d\u7684\u7248\u672c\u4e2d\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u901a\u8fc7\u66f4\u6539\u8868\u5355\u6570\u636e\u5229\u7528\u8be5\u6f0f\u6d1e\u4ece\u5176\u4ed6\u7528\u6237\u79c1\u4eba\u9879\u76ee\u4e2d\u79fb\u9664\u5217\u3002",
  "discovererName": "unknown",
  "formalWay": "\u5382\u5546\u5df2\u53d1\u5e03\u6f0f\u6d1e\u4fee\u590d\u7a0b\u5e8f\uff0c\u8bf7\u53ca\u65f6\u5173\u6ce8\u66f4\u65b0\uff1a\r\nhttps://kanboard.net/news/version-1.0.47",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2017-30953",
  "openTime": "2017-10-22",
  "patchDescription": "Kanboard\u662f\u6cd5\u56fd\u8f6f\u4ef6\u5f00\u53d1\u8005Frederic Guillot\u6240\u7814\u53d1\u7684\u4e00\u5957\u5f00\u6e90\u7684\u53ef\u89c6\u5316\u4efb\u52a1\u677f\u8f6f\u4ef6\u3002\u8be5\u8f6f\u4ef6\u652f\u6301\u6839\u636e\u4e1a\u52a1\u5b9a\u5236\u9762\u677f\u3001\u4efb\u52a1\u62d6\u52a8\u7b49\u3002\r\n\r\nKanboard 1.0.47\u4e4b\u524d\u7684\u7248\u672c\u4e2d\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u901a\u8fc7\u66f4\u6539\u8868\u5355\u6570\u636e\u5229\u7528\u8be5\u6f0f\u6d1e\u4ece\u5176\u4ed6\u7528\u6237\u79c1\u4eba\u9879\u76ee\u4e2d\u79fb\u9664\u5217\u3002\u76ee\u524d\uff0c\u4f9b\u5e94\u5546\u53d1\u5e03\u4e86\u5b89\u5168\u516c\u544a\u53ca\u76f8\u5173\u8865\u4e01\u4fe1\u606f\uff0c\u4fee\u590d\u4e86\u6b64\u6f0f\u6d1e\u3002",
  "patchName": "Kanboard\u8bbe\u8ba1\u6f0f\u6d1e\uff08CNVD-2017-30953\uff09\u7684\u8865\u4e01",
  "products": {
    "product": "Kanboard Kanboard \u003c1.0.47"
  },
  "referenceLink": "http://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2017-15196",
  "serverity": "\u4e2d",
  "submitTime": "2017-10-10",
  "title": "Kanboard\u8bbe\u8ba1\u6f0f\u6d1e\uff08CNVD-2017-30953\uff09"
}

CVE-2017-15196 (GCVE-0-2017-15196)

Vulnerability from cvelistv5 – Published: 2017-10-10 05:00 – Updated: 2024-09-16 16:39

Summary

In Kanboard before 1.0.47, by altering form data, an authenticated user can remove columns from a private project of another user.

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

4 references

URL	Tags
https://github.com/kanboard/kanboard/commit/074f6…	x_refsource_MISC
http://openwall.com/lists/oss-security/2017/10/04/9	x_refsource_MISC
https://kanboard.net/news/version-1.0.47	x_refsource_MISC
https://github.com/kanboard/kanboard/commit/3e0f1…	x_refsource_MISC

Show details on NVD website

JSON

To clipboard

{
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          "dateUpdated": "2024-08-05T19:50:15.683Z",
          "orgId": "af854a3a-2127-422b-91ae-364da2661108",
          "shortName": "CVE"
        },
        "references": [
          {
            "tags": [
              "x_refsource_MISC",
              "x_transferred"
            ],
            "url": "https://github.com/kanboard/kanboard/commit/074f6c104f3e49401ef0065540338fc2d4be79f0"
          },
          {
            "tags": [
              "x_refsource_MISC",
              "x_transferred"
            ],
            "url": "http://openwall.com/lists/oss-security/2017/10/04/9"
          },
          {
            "tags": [
              "x_refsource_MISC",
              "x_transferred"
            ],
            "url": "https://kanboard.net/news/version-1.0.47"
          },
          {
            "tags": [
              "x_refsource_MISC",
              "x_transferred"
            ],
            "url": "https://github.com/kanboard/kanboard/commit/3e0f14ae2b0b5a44bd038a472f17eac75f538524"
          }
        ],
        "title": "CVE Program Container"
      }
    ],
    "cna": {
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          "vendor": "n/a",
          "versions": [
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              "status": "affected",
              "version": "n/a"
            }
          ]
        }
      ],
      "descriptions": [
        {
          "lang": "en",
          "value": "In Kanboard before 1.0.47, by altering form data, an authenticated user can remove columns from a private project of another user."
        }
      ],
      "problemTypes": [
        {
          "descriptions": [
            {
              "description": "n/a",
              "lang": "en",
              "type": "text"
            }
          ]
        }
      ],
      "providerMetadata": {
        "dateUpdated": "2017-10-10T05:00:00.000Z",
        "orgId": "8254265b-2729-46b6-b9e3-3dfca2d5bfca",
        "shortName": "mitre"
      },
      "references": [
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          "url": "https://github.com/kanboard/kanboard/commit/074f6c104f3e49401ef0065540338fc2d4be79f0"
        },
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          ],
          "url": "http://openwall.com/lists/oss-security/2017/10/04/9"
        },
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          "tags": [
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          "url": "https://kanboard.net/news/version-1.0.47"
        },
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          "url": "https://github.com/kanboard/kanboard/commit/3e0f14ae2b0b5a44bd038a472f17eac75f538524"
        }
      ],
      "x_legacyV4Record": {
        "CVE_data_meta": {
          "ASSIGNER": "cve@mitre.org",
          "ID": "CVE-2017-15196",
          "STATE": "PUBLIC"
        },
        "affects": {
          "vendor": {
            "vendor_data": [
              {
                "product": {
                  "product_data": [
                    {
                      "product_name": "n/a",
                      "version": {
                        "version_data": [
                          {
                            "version_value": "n/a"
                          }
                        ]
                      }
                    }
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                },
                "vendor_name": "n/a"
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            },
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            },
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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.

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.