CNVD-2017-07732

Vulnerability from cnvd - Published: 2017-05-31
VLAI
Title
Metadata Anonymisation Toolkit信息泄露漏洞
Description
Metadata Anonymisation Toolkit (MAT)是一个元数据匿名化工具包。该工具包支持匿名化或删除Word文档、图片和音乐文件等元数据。 MAT 0.6版本和0.6.1版本中存在信息泄露漏洞。攻击者可利用通过读取文件该漏洞获取敏感信息。
Severity
中
Patch Name
Metadata Anonymisation Toolkit信息泄露漏洞的补丁
Patch Description
Metadata Anonymisation Toolkit (MAT)是一个元数据匿名化工具包。该工具包支持匿名化或删除Word文档、图片和音乐文件等元数据。 MAT 0.6版本和0.6.1版本中存在信息泄露漏洞。攻击者可利用通过读取文件该漏洞获取敏感信息。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此安全问题,详情请关注厂商主页: https://mat.boum.org/

Reference
https://0xacab.org/mat/mat/issues/11527
Impacted products
Name
['Metadata Anonymisation Toolkit Metadata Anonymisation Toolkit 0.6', 'Metadata Anonymisation Toolkit Metadata Anonymisation Toolkit 0.6.1']
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2017-9149"
    }
  },
  "description": "Metadata Anonymisation Toolkit (MAT)\u662f\u4e00\u4e2a\u5143\u6570\u636e\u533f\u540d\u5316\u5de5\u5177\u5305\u3002\u8be5\u5de5\u5177\u5305\u652f\u6301\u533f\u540d\u5316\u6216\u5220\u9664Word\u6587\u6863\u3001\u56fe\u7247\u548c\u97f3\u4e50\u6587\u4ef6\u7b49\u5143\u6570\u636e\u3002\r\n\r\nMAT 0.6\u7248\u672c\u548c0.6.1\u7248\u672c\u4e2d\u5b58\u5728\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u901a\u8fc7\u8bfb\u53d6\u6587\u4ef6\u8be5\u6f0f\u6d1e\u83b7\u53d6\u654f\u611f\u4fe1\u606f\u3002",
  "discovererName": "sajolida",
  "formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u7ecf\u53d1\u5e03\u4e86\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u6b64\u5b89\u5168\u95ee\u9898\uff0c\u8be6\u60c5\u8bf7\u5173\u6ce8\u5382\u5546\u4e3b\u9875\uff1a\r\nhttps://mat.boum.org/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2017-07732",
  "openTime": "2017-05-31",
  "patchDescription": "Metadata Anonymisation Toolkit (MAT)\u662f\u4e00\u4e2a\u5143\u6570\u636e\u533f\u540d\u5316\u5de5\u5177\u5305\u3002\u8be5\u5de5\u5177\u5305\u652f\u6301\u533f\u540d\u5316\u6216\u5220\u9664Word\u6587\u6863\u3001\u56fe\u7247\u548c\u97f3\u4e50\u6587\u4ef6\u7b49\u5143\u6570\u636e\u3002\r\n\r\nMAT 0.6\u7248\u672c\u548c0.6.1\u7248\u672c\u4e2d\u5b58\u5728\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u901a\u8fc7\u8bfb\u53d6\u6587\u4ef6\u8be5\u6f0f\u6d1e\u83b7\u53d6\u654f\u611f\u4fe1\u606f\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": "Metadata Anonymisation Toolkit\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": [
      "Metadata Anonymisation Toolkit Metadata Anonymisation Toolkit 0.6",
      "Metadata Anonymisation Toolkit Metadata Anonymisation Toolkit 0.6.1"
    ]
  },
  "referenceLink": "https://0xacab.org/mat/mat/issues/11527",
  "serverity": "\u4e2d",
  "submitTime": "2017-05-24",
  "title": "Metadata Anonymisation Toolkit\u4fe1\u606f\u6cc4\u9732\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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