CNVD-2018-18737

Vulnerability from cnvd - Published: 2018-09-13
VLAI
Title
Adobe ColdFusion不可信数据反序列化漏洞(CNVD-2018-18737)
Description
Adobe ColdFusion是一个商用的快速应用程序开发平台。 Adobe ColdFusion存在不可信数据反序列化漏洞。远程用户可通过发送特制数据利用该漏洞在目标系统上执行任意代码。
Severity
高
Patch Name
Adobe ColdFusion不可信数据反序列化漏洞(CNVD-2018-18737)的补丁
Patch Description
Adobe ColdFusion是一个商用的快速应用程序开发平台。 Adobe ColdFusion存在不可信数据反序列化漏洞。远程用户可通过发送特制数据利用该漏洞在目标系统上执行任意代码。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/apsb18-33.html

Reference
https://helpx.adobe.com/security/products/coldfusion/apsb18-33.html
Impacted products
Name
['Adobe ColdFusion (2018 release) 2018.0.0.310739', 'Adobe ColdFusion (2016 release) <=Update 6', 'Adobe ColdFusion 11 <=Update 14']
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2018-15958"
    }
  },
  "description": "Adobe ColdFusion\u662f\u4e00\u4e2a\u5546\u7528\u7684\u5feb\u901f\u5e94\u7528\u7a0b\u5e8f\u5f00\u53d1\u5e73\u53f0\u3002\r\n\r\nAdobe ColdFusion\u5b58\u5728\u4e0d\u53ef\u4fe1\u6570\u636e\u53cd\u5e8f\u5217\u5316\u6f0f\u6d1e\u3002\u8fdc\u7a0b\u7528\u6237\u53ef\u901a\u8fc7\u53d1\u9001\u7279\u5236\u6570\u636e\u5229\u7528\u8be5\u6f0f\u6d1e\u5728\u76ee\u6807\u7cfb\u7edf\u4e0a\u6267\u884c\u4efb\u610f\u4ee3\u7801\u3002",
  "discovererName": "Pete Freitag of Foundeo",
  "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/apsb18-33.html",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2018-18737",
  "openTime": "2018-09-13",
  "patchDescription": "Adobe ColdFusion\u662f\u4e00\u4e2a\u5546\u7528\u7684\u5feb\u901f\u5e94\u7528\u7a0b\u5e8f\u5f00\u53d1\u5e73\u53f0\u3002\r\n\r\nAdobe ColdFusion\u5b58\u5728\u4e0d\u53ef\u4fe1\u6570\u636e\u53cd\u5e8f\u5217\u5316\u6f0f\u6d1e\u3002\u8fdc\u7a0b\u7528\u6237\u53ef\u901a\u8fc7\u53d1\u9001\u7279\u5236\u6570\u636e\u5229\u7528\u8be5\u6f0f\u6d1e\u5728\u76ee\u6807\u7cfb\u7edf\u4e0a\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\uff08CNVD-2018-18737\uff09\u7684\u8865\u4e01",
  "products": {
    "product": [
      "Adobe ColdFusion (2018 release) 2018.0.0.310739",
      "Adobe ColdFusion (2016 release) \u003c=Update 6",
      "Adobe ColdFusion 11 \u003c=Update 14"
    ]
  },
  "referenceLink": "https://helpx.adobe.com/security/products/coldfusion/apsb18-33.html",
  "serverity": "\u9ad8",
  "submitTime": "2018-09-13",
  "title": "Adobe ColdFusion\u4e0d\u53ef\u4fe1\u6570\u636e\u53cd\u5e8f\u5217\u5316\u6f0f\u6d1e\uff08CNVD-2018-18737\uff09"
}



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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

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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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