CNVD-2019-41652

Vulnerability from cnvd - Published: 2019-11-21
VLAI
Title
GNU Mailutils存在未明漏洞
Description
GNU Mailutils是GNU计划的一款电子邮件处理软件包,它支持库对多种邮箱和协议的访问,并支持解析消息、处理MIME消息、可扩展的Sieve筛选和访问控制等功能。 GNU Mailutils 3.8之前版本中的maidag存在安全漏洞,攻击者可利用该漏洞提升权限。
Severity
Patch Name
GNU Mailutils存在未明漏洞的补丁
Patch Description
GNU Mailutils是GNU计划的一款电子邮件处理软件包,它支持库对多种邮箱和协议的访问,并支持解析消息、处理MIME消息、可扩展的Sieve筛选和访问控制等功能。 GNU Mailutils 3.8之前版本中的maidag存在安全漏洞,攻击者可利用该漏洞提升权限。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://mailutils.org/

Reference
https://git.savannah.gnu.org/cgit/mailutils.git/tree/NEWS https://nvd.nist.gov/vuln/detail/CVE-2019-18862
Impacted products
Name
GNU Mailutils <3.8
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2019-18862",
      "cveUrl": "http://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2019-18862"
    }
  },
  "description": "GNU Mailutils\u662fGNU\u8ba1\u5212\u7684\u4e00\u6b3e\u7535\u5b50\u90ae\u4ef6\u5904\u7406\u8f6f\u4ef6\u5305\uff0c\u5b83\u652f\u6301\u5e93\u5bf9\u591a\u79cd\u90ae\u7bb1\u548c\u534f\u8bae\u7684\u8bbf\u95ee\uff0c\u5e76\u652f\u6301\u89e3\u6790\u6d88\u606f\u3001\u5904\u7406MIME\u6d88\u606f\u3001\u53ef\u6269\u5c55\u7684Sieve\u7b5b\u9009\u548c\u8bbf\u95ee\u63a7\u5236\u7b49\u529f\u80fd\u3002\n\nGNU Mailutils 3.8\u4e4b\u524d\u7248\u672c\u4e2d\u7684maidag\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u63d0\u5347\u6743\u9650\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://mailutils.org/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2019-41652",
  "openTime": "2019-11-21",
  "patchDescription": "GNU Mailutils\u662fGNU\u8ba1\u5212\u7684\u4e00\u6b3e\u7535\u5b50\u90ae\u4ef6\u5904\u7406\u8f6f\u4ef6\u5305\uff0c\u5b83\u652f\u6301\u5e93\u5bf9\u591a\u79cd\u90ae\u7bb1\u548c\u534f\u8bae\u7684\u8bbf\u95ee\uff0c\u5e76\u652f\u6301\u89e3\u6790\u6d88\u606f\u3001\u5904\u7406MIME\u6d88\u606f\u3001\u53ef\u6269\u5c55\u7684Sieve\u7b5b\u9009\u548c\u8bbf\u95ee\u63a7\u5236\u7b49\u529f\u80fd\u3002\r\n\r\nGNU Mailutils 3.8\u4e4b\u524d\u7248\u672c\u4e2d\u7684maidag\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u63d0\u5347\u6743\u9650\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": "GNU Mailutils\u5b58\u5728\u672a\u660e\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "GNU Mailutils \u003c3.8"
  },
  "referenceLink": "https://git.savannah.gnu.org/cgit/mailutils.git/tree/NEWS\r\nhttps://nvd.nist.gov/vuln/detail/CVE-2019-18862",
  "serverity": "\u4e2d",
  "submitTime": "2019-11-11",
  "title": "GNU Mailutils\u5b58\u5728\u672a\u660e\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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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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