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CNVD-2019-45332

Vulnerability from cnvd - Published: 2019-12-12
VLAI
Title
Progress Sitefinity CMS存在未明漏洞
Description
Progress Sitefinity是一套开源的用于构建企业网站以及企业内部网络的平台。 Progress Sitefinity 12.1版本中存在安全漏洞,该漏洞源于在找回密码时,程序使用了较弱的密码恢复机制。攻击者可利用该漏洞实施密码重置攻击。
Severity
Patch Name
Progress Sitefinity CMS存在未明漏洞的补丁
Patch Description
Progress Sitefinity是一套开源的用于构建企业网站以及企业内部网络的平台。 Progress Sitefinity 12.1版本中存在安全漏洞,该漏洞源于在找回密码时,程序使用了较弱的密码恢复机制。攻击者可利用该漏洞实施密码重置攻击。 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,补丁获取链接: https://knowledgebase.progress.com/articles/Article/Security-Advisory-for-Resolving-Security-vulnerabilities-November-2019

Reference
https://nvd.nist.gov/vuln/detail/CVE-2019-17392
Impacted products
Name
Progress Sitefinity CMS Progress Sitefinity CMS 12.1
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2019-17392"
    }
  },
  "description": "Progress Sitefinity\u662f\u4e00\u5957\u5f00\u6e90\u7684\u7528\u4e8e\u6784\u5efa\u4f01\u4e1a\u7f51\u7ad9\u4ee5\u53ca\u4f01\u4e1a\u5185\u90e8\u7f51\u7edc\u7684\u5e73\u53f0\u3002\n\nProgress Sitefinity 12.1\u7248\u672c\u4e2d\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u5728\u627e\u56de\u5bc6\u7801\u65f6\uff0c\u7a0b\u5e8f\u4f7f\u7528\u4e86\u8f83\u5f31\u7684\u5bc6\u7801\u6062\u590d\u673a\u5236\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5b9e\u65bd\u5bc6\u7801\u91cd\u7f6e\u653b\u51fb\u3002",
  "formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u53d1\u5e03\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u6f0f\u6d1e\uff0c\u8865\u4e01\u83b7\u53d6\u94fe\u63a5\uff1a\r\nhttps://knowledgebase.progress.com/articles/Article/Security-Advisory-for-Resolving-Security-vulnerabilities-November-2019",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2019-45332",
  "openTime": "2019-12-12",
  "patchDescription": "Progress Sitefinity\u662f\u4e00\u5957\u5f00\u6e90\u7684\u7528\u4e8e\u6784\u5efa\u4f01\u4e1a\u7f51\u7ad9\u4ee5\u53ca\u4f01\u4e1a\u5185\u90e8\u7f51\u7edc\u7684\u5e73\u53f0\u3002\r\n\r\nProgress Sitefinity 12.1\u7248\u672c\u4e2d\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u5728\u627e\u56de\u5bc6\u7801\u65f6\uff0c\u7a0b\u5e8f\u4f7f\u7528\u4e86\u8f83\u5f31\u7684\u5bc6\u7801\u6062\u590d\u673a\u5236\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5b9e\u65bd\u5bc6\u7801\u91cd\u7f6e\u653b\u51fb\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": "Progress Sitefinity CMS\u5b58\u5728\u672a\u660e\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Progress Sitefinity CMS Progress Sitefinity CMS 12.1"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2019-17392",
  "serverity": "\u4e2d",
  "submitTime": "2019-11-27",
  "title": "Progress Sitefinity CMS\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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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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