CNVD-2018-08808

Vulnerability from cnvd - Published: 2018-05-03
VLAI
Title
Mahara输入验证漏洞
Description
Mahara是用于构建自己的电子档案袋的功能齐全的Web应用程序。 Mahara存在输入验证漏洞。该漏洞产生的原因是Mahara仅依赖TinyMCE的代码剥离。攻击者可通过创建自己的包含不良内容的POST数据包利用该漏洞绕过TinyMCE来攻击服务器。
Severity
中
Patch Name
Mahara输入验证漏洞的补丁
Patch Description
Mahara是用于构建自己的电子档案袋的功能齐全的Web应用程序。 Mahara存在输入验证漏洞。该漏洞产生的原因是Mahara仅依赖TinyMCE的代码剥离。攻击者可通过创建自己的包含不良内容的POST数据包利用该漏洞绕过TinyMCE来攻击服务器。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://bugs.launchpad.net/mahara/+bug/1744789

Reference
https://nvd.nist.gov/vuln/detail/CVE-2018-6182
Impacted products
Name
['Mahara Mahara 16.10,<=16.10.9', 'Mahara Mahara 17.04,<=17.04.7', 'Mahara Mahara 17.10,<=17.10.4']
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2018-6182"
    }
  },
  "description": "Mahara\u662f\u7528\u4e8e\u6784\u5efa\u81ea\u5df1\u7684\u7535\u5b50\u6863\u6848\u888b\u7684\u529f\u80fd\u9f50\u5168\u7684Web\u5e94\u7528\u7a0b\u5e8f\u3002\r\n\r\nMahara\u5b58\u5728\u8f93\u5165\u9a8c\u8bc1\u6f0f\u6d1e\u3002\u8be5\u6f0f\u6d1e\u4ea7\u751f\u7684\u539f\u56e0\u662fMahara\u4ec5\u4f9d\u8d56TinyMCE\u7684\u4ee3\u7801\u5265\u79bb\u3002\u653b\u51fb\u8005\u53ef\u901a\u8fc7\u521b\u5efa\u81ea\u5df1\u7684\u5305\u542b\u4e0d\u826f\u5185\u5bb9\u7684POST\u6570\u636e\u5305\u5229\u7528\u8be5\u6f0f\u6d1e\u7ed5\u8fc7TinyMCE\u6765\u653b\u51fb\u670d\u52a1\u5668\u3002",
  "discovererName": "Mahara",
  "formalWay": "\u5382\u5546\u5df2\u53d1\u5e03\u6f0f\u6d1e\u4fee\u590d\u7a0b\u5e8f\uff0c\u8bf7\u53ca\u65f6\u5173\u6ce8\u66f4\u65b0\uff1a\r\nhttps://bugs.launchpad.net/mahara/+bug/1744789",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2018-08808",
  "openTime": "2018-05-03",
  "patchDescription": "Mahara\u662f\u7528\u4e8e\u6784\u5efa\u81ea\u5df1\u7684\u7535\u5b50\u6863\u6848\u888b\u7684\u529f\u80fd\u9f50\u5168\u7684Web\u5e94\u7528\u7a0b\u5e8f\u3002\r\n\r\nMahara\u5b58\u5728\u8f93\u5165\u9a8c\u8bc1\u6f0f\u6d1e\u3002\u8be5\u6f0f\u6d1e\u4ea7\u751f\u7684\u539f\u56e0\u662fMahara\u4ec5\u4f9d\u8d56TinyMCE\u7684\u4ee3\u7801\u5265\u79bb\u3002\u653b\u51fb\u8005\u53ef\u901a\u8fc7\u521b\u5efa\u81ea\u5df1\u7684\u5305\u542b\u4e0d\u826f\u5185\u5bb9\u7684POST\u6570\u636e\u5305\u5229\u7528\u8be5\u6f0f\u6d1e\u7ed5\u8fc7TinyMCE\u6765\u653b\u51fb\u670d\u52a1\u5668\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": "Mahara\u8f93\u5165\u9a8c\u8bc1\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": [
      "Mahara Mahara 16.10\uff0c\u003c=16.10.9",
      "Mahara Mahara 17.04\uff0c\u003c=17.04.7",
      "Mahara Mahara 17.10\uff0c\u003c=17.10.4"
    ]
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2018-6182",
  "serverity": "\u4e2d",
  "submitTime": "2018-04-10",
  "title": "Mahara\u8f93\u5165\u9a8c\u8bc1\u6f0f\u6d1e"
}



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Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

Sightings

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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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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.


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