CNVD-2017-35666

Vulnerability from cnvd - Published: 2017-11-30
VLAI
Title
Catalyst Mahara代码执行漏洞
Description
Catalyst Mahara是新西兰Catalyst IT公司的一套社交网络系统。该系统包含博客、履历表生成器、文件管理器等。 Catalyst Mahara中存在安全漏洞。攻击者可通过提交恶意的载荷利用该漏洞提升权限或执行恶意代码。
Severity
低
Patch Name
Catalyst Mahara代码执行漏洞的补丁
Patch Description
Catalyst Mahara是新西兰Catalyst IT公司的一套社交网络系统。该系统包含博客、履历表生成器、文件管理器等。 Catalyst Mahara中存在安全漏洞。攻击者可通过提交恶意的载荷利用该漏洞提升权限或执行恶意代码。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

目前厂商已发布升级补丁以修复漏洞,详情请关注厂商主页: https://mahara.org/

Reference
https://bugs.launchpad.net/mahara/+bug/1719491
Impacted products
Name
['Catalyst Mahara 15.04,<15.04.15', 'Catalyst Mahara 16.04,<16.04.9', 'Catalyst Mahara 16.10,<16.10.6', 'Catalyst Mahara 17.04,<17.04.4']
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2017-14752"
    }
  },
  "description": "Catalyst Mahara\u662f\u65b0\u897f\u5170Catalyst IT\u516c\u53f8\u7684\u4e00\u5957\u793e\u4ea4\u7f51\u7edc\u7cfb\u7edf\u3002\u8be5\u7cfb\u7edf\u5305\u542b\u535a\u5ba2\u3001\u5c65\u5386\u8868\u751f\u6210\u5668\u3001\u6587\u4ef6\u7ba1\u7406\u5668\u7b49\u3002\r\n\r\nCatalyst Mahara\u4e2d\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u901a\u8fc7\u63d0\u4ea4\u6076\u610f\u7684\u8f7d\u8377\u5229\u7528\u8be5\u6f0f\u6d1e\u63d0\u5347\u6743\u9650\u6216\u6267\u884c\u6076\u610f\u4ee3\u7801\u3002",
  "discovererName": "Unknow",
  "formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u53d1\u5e03\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u6f0f\u6d1e\uff0c\u8be6\u60c5\u8bf7\u5173\u6ce8\u5382\u5546\u4e3b\u9875\uff1a\r\nhttps://mahara.org/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2017-35666",
  "openTime": "2017-11-30",
  "patchDescription": "Catalyst Mahara\u662f\u65b0\u897f\u5170Catalyst IT\u516c\u53f8\u7684\u4e00\u5957\u793e\u4ea4\u7f51\u7edc\u7cfb\u7edf\u3002\u8be5\u7cfb\u7edf\u5305\u542b\u535a\u5ba2\u3001\u5c65\u5386\u8868\u751f\u6210\u5668\u3001\u6587\u4ef6\u7ba1\u7406\u5668\u7b49\u3002\r\n\r\nCatalyst Mahara\u4e2d\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u901a\u8fc7\u63d0\u4ea4\u6076\u610f\u7684\u8f7d\u8377\u5229\u7528\u8be5\u6f0f\u6d1e\u63d0\u5347\u6743\u9650\u6216\u6267\u884c\u6076\u610f\u4ee3\u7801\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": "Catalyst Mahara\u4ee3\u7801\u6267\u884c\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": [
      "Catalyst Mahara 15.04\uff0c\u003c15.04.15",
      "Catalyst Mahara 16.04\uff0c\u003c16.04.9",
      "Catalyst Mahara 16.10\uff0c\u003c16.10.6",
      "Catalyst Mahara 17.04\uff0c\u003c17.04.4"
    ]
  },
  "referenceLink": "https://bugs.launchpad.net/mahara/+bug/1719491",
  "serverity": "\u4f4e",
  "submitTime": "2017-11-07",
  "title": "Catalyst Mahara\u4ee3\u7801\u6267\u884c\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

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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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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