CNVD-2020-41830

Vulnerability from cnvd - Published: 2020-07-23
VLAI
Title
Collabtive代码问题漏洞
Description
Collabtive是一套基于Web的项目管理系统。该系统包括项目管理、文件管理和时间跟踪等功能。 Collabtive 2.1之前版本中的manageuser.php文件的头像上传功能存在代码问题漏洞,远程攻击者可通过上传文件(.php3、.php4、.php5、.phtml)利用该漏洞执行任意代码。
Severity
中
Patch Name
Collabtive代码问题漏洞的补丁
Patch Description
Collabtive是一套基于Web的项目管理系统。该系统包括项目管理、文件管理和时间跟踪等功能。 Collabtive 2.1之前版本中的manageuser.php文件的头像上传功能存在代码问题漏洞,远程攻击者可通过上传文件(.php3、.php4、.php5、.phtml)利用该漏洞执行任意代码。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

厂商已发布了漏洞修复程序,请及时关注更新: https://github.com/philippK-de/Collabtive/commit/9ce6301583669d0a8ecb4d23fb56e34b68511335

Reference
https://github.com/philippK-de/Collabtive/commit/9ce6301583669d0a8ecb4d23fb56e34b68511335
Impacted products
Name
Collabtive Collabtive <2.1
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2015-0258",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2015-0258"
    }
  },
  "description": "Collabtive\u662f\u4e00\u5957\u57fa\u4e8eWeb\u7684\u9879\u76ee\u7ba1\u7406\u7cfb\u7edf\u3002\u8be5\u7cfb\u7edf\u5305\u62ec\u9879\u76ee\u7ba1\u7406\u3001\u6587\u4ef6\u7ba1\u7406\u548c\u65f6\u95f4\u8ddf\u8e2a\u7b49\u529f\u80fd\u3002\n\nCollabtive 2.1\u4e4b\u524d\u7248\u672c\u4e2d\u7684manageuser.php\u6587\u4ef6\u7684\u5934\u50cf\u4e0a\u4f20\u529f\u80fd\u5b58\u5728\u4ee3\u7801\u95ee\u9898\u6f0f\u6d1e\uff0c\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u901a\u8fc7\u4e0a\u4f20\u6587\u4ef6\uff08.php3\u3001.php4\u3001.php5\u3001.phtml\uff09\u5229\u7528\u8be5\u6f0f\u6d1e\u6267\u884c\u4efb\u610f\u4ee3\u7801\u3002",
  "formalWay": "\u5382\u5546\u5df2\u53d1\u5e03\u4e86\u6f0f\u6d1e\u4fee\u590d\u7a0b\u5e8f\uff0c\u8bf7\u53ca\u65f6\u5173\u6ce8\u66f4\u65b0\uff1a\r\nhttps://github.com/philippK-de/Collabtive/commit/9ce6301583669d0a8ecb4d23fb56e34b68511335",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2020-41830",
  "openTime": "2020-07-23",
  "patchDescription": "Collabtive\u662f\u4e00\u5957\u57fa\u4e8eWeb\u7684\u9879\u76ee\u7ba1\u7406\u7cfb\u7edf\u3002\u8be5\u7cfb\u7edf\u5305\u62ec\u9879\u76ee\u7ba1\u7406\u3001\u6587\u4ef6\u7ba1\u7406\u548c\u65f6\u95f4\u8ddf\u8e2a\u7b49\u529f\u80fd\u3002\r\n\r\nCollabtive 2.1\u4e4b\u524d\u7248\u672c\u4e2d\u7684manageuser.php\u6587\u4ef6\u7684\u5934\u50cf\u4e0a\u4f20\u529f\u80fd\u5b58\u5728\u4ee3\u7801\u95ee\u9898\u6f0f\u6d1e\uff0c\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u901a\u8fc7\u4e0a\u4f20\u6587\u4ef6\uff08.php3\u3001.php4\u3001.php5\u3001.phtml\uff09\u5229\u7528\u8be5\u6f0f\u6d1e\u6267\u884c\u4efb\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": "Collabtive\u4ee3\u7801\u95ee\u9898\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Collabtive Collabtive \u003c2.1"
  },
  "referenceLink": "https://github.com/philippK-de/Collabtive/commit/9ce6301583669d0a8ecb4d23fb56e34b68511335",
  "serverity": "\u4e2d",
  "submitTime": "2020-03-09",
  "title": "Collabtive\u4ee3\u7801\u95ee\u9898\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.
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  • 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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