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CNVD-2021-95598

Vulnerability from cnvd - Published: 2021-12-09
VLAI
Title
Ajax.NET Professional存在未明漏洞
Description
Ajax.NET Professional是Ajax.NET Professional (AjaxPro) 是最早可用于 Microsoft ASP.NET 的 AJAX 框架之一。 Ajax.NET Professional 存在安全漏洞,该漏洞源于存在反序列化任意.NET类的可能性。攻击者可利用该漏洞执行反序列化攻击,进而远程执行代码。
Severity
Patch Name
Ajax.NET Professional存在未明漏洞的补丁
Patch Description
Ajax.NET Professional是Ajax.NET Professional (AjaxPro) 是最早可用于 Microsoft ASP.NET 的 AJAX 框架之一。 Ajax.NET Professional 存在安全漏洞,该漏洞源于存在反序列化任意.NET类的可能性。攻击者可利用该漏洞执行反序列化攻击,进而远程执行代码。 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

目前厂商已发布升级补丁以修复漏洞,补丁获取链接: https://github.com/michaelschwarz/Ajax.NET-Professional/commit/b0e63be5f0bb20dfce507cb8a1a9568f6e73de57

Reference
https://snyk.io/vuln/SNYK-DOTNET-AJAXPRO2-1925971
Impacted products
Name
AjaxPro Ajax.NET Professional <21.10.30.1
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2021-23758"
    }
  },
  "description": "Ajax.NET Professional\u662fAjax.NET Professional (AjaxPro) \u662f\u6700\u65e9\u53ef\u7528\u4e8e Microsoft ASP.NET \u7684 AJAX \u6846\u67b6\u4e4b\u4e00\u3002\n\nAjax.NET Professional \u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u5b58\u5728\u53cd\u5e8f\u5217\u5316\u4efb\u610f.NET\u7c7b\u7684\u53ef\u80fd\u6027\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u6267\u884c\u53cd\u5e8f\u5217\u5316\u653b\u51fb\uff0c\u8fdb\u800c\u8fdc\u7a0b\u6267\u884c\u4ee3\u7801\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://github.com/michaelschwarz/Ajax.NET-Professional/commit/b0e63be5f0bb20dfce507cb8a1a9568f6e73de57",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2021-95598",
  "openTime": "2021-12-09",
  "patchDescription": "Ajax.NET Professional\u662fAjax.NET Professional (AjaxPro) \u662f\u6700\u65e9\u53ef\u7528\u4e8e Microsoft ASP.NET \u7684 AJAX \u6846\u67b6\u4e4b\u4e00\u3002\r\n\r\nAjax.NET Professional \u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u5b58\u5728\u53cd\u5e8f\u5217\u5316\u4efb\u610f.NET\u7c7b\u7684\u53ef\u80fd\u6027\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u6267\u884c\u53cd\u5e8f\u5217\u5316\u653b\u51fb\uff0c\u8fdb\u800c\u8fdc\u7a0b\u6267\u884c\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": "Ajax.NET Professional\u5b58\u5728\u672a\u660e\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "AjaxPro Ajax.NET Professional \u003c21.10.30.1"
  },
  "referenceLink": "https://snyk.io/vuln/SNYK-DOTNET-AJAXPRO2-1925971",
  "serverity": "\u9ad8",
  "submitTime": "2021-12-07",
  "title": "Ajax.NET Professional\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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