CNVD-2015-00150

Vulnerability from cnvd - Published: 2015-01-09
VLAI
Title
gcab 'gcab-folder.c'本地目录遍历漏洞
Description
gcab是一套Microsoft Cabinet文件处理工具。该工具可以列出、提取和创建压缩(.cab)文件。 gcab 'gcab-folder.c'存在本地目录遍历漏洞。由于程序未能充分过滤用户提供的输入。允许本地攻击者在受影响的系统上访问任意文件的内容。
Severity
Patch Name
gcab 'gcab-folder.c'本地目录遍历漏洞的补丁
Patch Description
gcab是一套Microsoft Cabinet文件处理工具。该工具可以列出、提取和创建压缩(.cab)文件。 gcab 'gcab-folder.c'存在本地目录遍历漏洞。由于程序未能充分过滤用户提供的输入。允许本地攻击者在受影响的系统上访问任意文件的内容。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

目前厂商已经发布了升级补丁以修复这个安全问题,请到厂商的主页下载: http://gcab.org/

Reference
http://www.securityfocus.com/bid/71867
Impacted products
Name
gcab gcab
Show details on source website

{
  "bids": {
    "bid": {
      "bidNumber": "71867"
    }
  },
  "cves": {
    "cve": {
      "cveNumber": "CVE-2015-0552"
    }
  },
  "description": "gcab\u662f\u4e00\u5957Microsoft Cabinet\u6587\u4ef6\u5904\u7406\u5de5\u5177\u3002\u8be5\u5de5\u5177\u53ef\u4ee5\u5217\u51fa\u3001\u63d0\u53d6\u548c\u521b\u5efa\u538b\u7f29\uff08.cab\uff09\u6587\u4ef6\u3002\r\n\r\ngcab \u0027gcab-folder.c\u0027\u5b58\u5728\u672c\u5730\u76ee\u5f55\u904d\u5386\u6f0f\u6d1e\u3002\u7531\u4e8e\u7a0b\u5e8f\u672a\u80fd\u5145\u5206\u8fc7\u6ee4\u7528\u6237\u63d0\u4f9b\u7684\u8f93\u5165\u3002\u5141\u8bb8\u672c\u5730\u653b\u51fb\u8005\u5728\u53d7\u5f71\u54cd\u7684\u7cfb\u7edf\u4e0a\u8bbf\u95ee\u4efb\u610f\u6587\u4ef6\u7684\u5185\u5bb9\u3002",
  "discovererName": "Jakub Wilk",
  "formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u7ecf\u53d1\u5e03\u4e86\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u8fd9\u4e2a\u5b89\u5168\u95ee\u9898\uff0c\u8bf7\u5230\u5382\u5546\u7684\u4e3b\u9875\u4e0b\u8f7d\uff1a\r\nhttp://gcab.org/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2015-00150",
  "openTime": "2015-01-09",
  "patchDescription": "gcab\u662f\u4e00\u5957Microsoft Cabinet\u6587\u4ef6\u5904\u7406\u5de5\u5177\u3002\u8be5\u5de5\u5177\u53ef\u4ee5\u5217\u51fa\u3001\u63d0\u53d6\u548c\u521b\u5efa\u538b\u7f29\uff08.cab\uff09\u6587\u4ef6\u3002 \r\n\r\ngcab \u0027gcab-folder.c\u0027\u5b58\u5728\u672c\u5730\u76ee\u5f55\u904d\u5386\u6f0f\u6d1e\u3002\u7531\u4e8e\u7a0b\u5e8f\u672a\u80fd\u5145\u5206\u8fc7\u6ee4\u7528\u6237\u63d0\u4f9b\u7684\u8f93\u5165\u3002\u5141\u8bb8\u672c\u5730\u653b\u51fb\u8005\u5728\u53d7\u5f71\u54cd\u7684\u7cfb\u7edf\u4e0a\u8bbf\u95ee\u4efb\u610f\u6587\u4ef6\u7684\u5185\u5bb9\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": "gcab \u0027gcab-folder.c\u0027\u672c\u5730\u76ee\u5f55\u904d\u5386\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "gcab gcab"
  },
  "referenceLink": "http://www.securityfocus.com/bid/71867",
  "serverity": "\u4f4e",
  "submitTime": "2015-01-06",
  "title": "gcab \u0027gcab-folder.c\u0027\u672c\u5730\u76ee\u5f55\u904d\u5386\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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Detection rules are retrieved from Rulezet.

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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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