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CNVD-2017-04819

Vulnerability from cnvd - Published: 2017-04-20
VLAI
Title
Revive Adserver过度认证尝试不当限制漏洞
Description
Revive Adserver是Revive Adserver团队的一套开源的广告管理系统。该系统提供广告投放、广告位管理、数据统计等功能。 Revive Adserver 3.2.3之前的版本中的登录页面存在安全漏洞。攻击者可利用该漏洞猜测用户密码。
Severity
Patch Name
Revive Adserver过度认证尝试不当限制漏洞的补丁
Patch Description
Revive Adserver是Revive Adserver团队的一套开源的广告管理系统。该系统提供广告投放、广告位管理、数据统计等功能。 Revive Adserver 3.2.3之前的版本中的登录页面存在安全漏洞。攻击者可利用该漏洞猜测用户密码。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

厂商已发布漏洞修复程序,请及时关注更新: https://github.com/revive-adserver/revive-adserver/commit/847941390f5b3310d51b07c92ec91cc1f4cc82c9

Reference
https://github.com/revive-adserver/revive-adserver/commit/847941390f5b3310d51b07c92ec91cc1f4cc82c9
Impacted products
Name
Revive Adserver Revive Adserver <=3.2.2
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2016-9124"
    }
  },
  "description": "Revive Adserver\u662fRevive Adserver\u56e2\u961f\u7684\u4e00\u5957\u5f00\u6e90\u7684\u5e7f\u544a\u7ba1\u7406\u7cfb\u7edf\u3002\u8be5\u7cfb\u7edf\u63d0\u4f9b\u5e7f\u544a\u6295\u653e\u3001\u5e7f\u544a\u4f4d\u7ba1\u7406\u3001\u6570\u636e\u7edf\u8ba1\u7b49\u529f\u80fd\u3002\r\n\r\nRevive Adserver 3.2.3\u4e4b\u524d\u7684\u7248\u672c\u4e2d\u7684\u767b\u5f55\u9875\u9762\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u731c\u6d4b\u7528\u6237\u5bc6\u7801\u3002",
  "discovererName": "Karan M. Tank and Smit B. Shah",
  "formalWay": "\u5382\u5546\u5df2\u53d1\u5e03\u6f0f\u6d1e\u4fee\u590d\u7a0b\u5e8f\uff0c\u8bf7\u53ca\u65f6\u5173\u6ce8\u66f4\u65b0\uff1a\r\nhttps://github.com/revive-adserver/revive-adserver/commit/847941390f5b3310d51b07c92ec91cc1f4cc82c9",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2017-04819",
  "openTime": "2017-04-20",
  "patchDescription": "Revive Adserver\u662fRevive Adserver\u56e2\u961f\u7684\u4e00\u5957\u5f00\u6e90\u7684\u5e7f\u544a\u7ba1\u7406\u7cfb\u7edf\u3002\u8be5\u7cfb\u7edf\u63d0\u4f9b\u5e7f\u544a\u6295\u653e\u3001\u5e7f\u544a\u4f4d\u7ba1\u7406\u3001\u6570\u636e\u7edf\u8ba1\u7b49\u529f\u80fd\u3002\r\n\r\nRevive Adserver 3.2.3\u4e4b\u524d\u7684\u7248\u672c\u4e2d\u7684\u767b\u5f55\u9875\u9762\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u731c\u6d4b\u7528\u6237\u5bc6\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": "Revive Adserver\u8fc7\u5ea6\u8ba4\u8bc1\u5c1d\u8bd5\u4e0d\u5f53\u9650\u5236\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Revive Adserver Revive Adserver \u003c=3.2.2"
  },
  "referenceLink": "https://github.com/revive-adserver/revive-adserver/commit/847941390f5b3310d51b07c92ec91cc1f4cc82c9",
  "serverity": "\u4e2d",
  "submitTime": "2017-03-31",
  "title": "Revive Adserver\u8fc7\u5ea6\u8ba4\u8bc1\u5c1d\u8bd5\u4e0d\u5f53\u9650\u5236\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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