CNVD-2018-11802

Vulnerability from cnvd - Published: 2018-06-20
VLAI
Title
Adobe ColdFusion不可信数据反序列化漏洞
Description
Adobe ColdFusion是美国奥多比(Adobe)公司的一款动态Web服务器产品,其运行的CFML(ColdFusion Markup Language)是针对Web应用的一种程序设计语言。 Adobe ColdFusion存在不可信数据反序列化漏洞。攻击者可利用该漏洞执行任意代码。
Severity
高
Patch Name
Adobe ColdFusion不可信数据反序列化漏洞的补丁
Patch Description
Adobe ColdFusion是美国奥多比(Adobe)公司的一款动态Web服务器产品,其运行的CFML(ColdFusion Markup Language)是针对Web应用的一种程序设计语言。 Adobe ColdFusion存在不可信数据反序列化漏洞。攻击者可利用该漏洞执行任意代码。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://helpx.adobe.com/security/products/coldfusion/apsb18-14.html

Reference
https://nvd.nist.gov/vuln/detail/CVE-2018-4939
Impacted products
Name
['Adobe ColdFusion (2016 release) <=Update 5', 'Adobe ColdFusion 11 <=Update 13']
Show details on source website

{
  "bids": {
    "bid": {
      "bidNumber": "103718"
    }
  },
  "cves": {
    "cve": {
      "cveNumber": "CVE-2018-4939"
    }
  },
  "description": "Adobe ColdFusion\u662f\u7f8e\u56fd\u5965\u591a\u6bd4\uff08Adobe\uff09\u516c\u53f8\u7684\u4e00\u6b3e\u52a8\u6001Web\u670d\u52a1\u5668\u4ea7\u54c1\uff0c\u5176\u8fd0\u884c\u7684CFML\uff08ColdFusion Markup Language\uff09\u662f\u9488\u5bf9Web\u5e94\u7528\u7684\u4e00\u79cd\u7a0b\u5e8f\u8bbe\u8ba1\u8bed\u8a00\u3002\r\n\r\nAdobe ColdFusion\u5b58\u5728\u4e0d\u53ef\u4fe1\u6570\u636e\u53cd\u5e8f\u5217\u5316\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u6267\u884c\u4efb\u610f\u4ee3\u7801\u3002",
  "discovererName": "Nick Bloor of NCC Group",
  "formalWay": "\u5382\u5546\u5df2\u53d1\u5e03\u6f0f\u6d1e\u4fee\u590d\u7a0b\u5e8f\uff0c\u8bf7\u53ca\u65f6\u5173\u6ce8\u66f4\u65b0\uff1a\r\nhttps://helpx.adobe.com/security/products/coldfusion/apsb18-14.html",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2018-11802",
  "openTime": "2018-06-20",
  "patchDescription": "Adobe ColdFusion\u662f\u7f8e\u56fd\u5965\u591a\u6bd4\uff08Adobe\uff09\u516c\u53f8\u7684\u4e00\u6b3e\u52a8\u6001Web\u670d\u52a1\u5668\u4ea7\u54c1\uff0c\u5176\u8fd0\u884c\u7684CFML\uff08ColdFusion Markup Language\uff09\u662f\u9488\u5bf9Web\u5e94\u7528\u7684\u4e00\u79cd\u7a0b\u5e8f\u8bbe\u8ba1\u8bed\u8a00\u3002\r\n\r\nAdobe ColdFusion\u5b58\u5728\u4e0d\u53ef\u4fe1\u6570\u636e\u53cd\u5e8f\u5217\u5316\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u6267\u884c\u4efb\u610f\u4ee3\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": "Adobe ColdFusion\u4e0d\u53ef\u4fe1\u6570\u636e\u53cd\u5e8f\u5217\u5316\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": [
      "Adobe ColdFusion (2016 release) \u003c=Update 5",
      "Adobe ColdFusion 11 \u003c=Update 13"
    ]
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2018-4939",
  "serverity": "\u9ad8",
  "submitTime": "2018-05-21",
  "title": "Adobe ColdFusion\u4e0d\u53ef\u4fe1\u6570\u636e\u53cd\u5e8f\u5217\u5316\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.
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  • 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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