GCVE Workshop - 22 September 2026 (14:00-18:00), Luxembourg Before The Vulnopticon Conference - Registration

CNVD-2020-44631

Vulnerability from cnvd - Published: 2020-08-06
VLAI
Title
RSA MFA Agent跨站脚本漏洞
Description
RSA MFA Agent是一套身份验证代理软件。 基于Windows平台的RSA MFA Agent 2.0版本中存在跨站脚本漏洞,该漏洞源于WEB应用缺少对客户端数据的正确验证。本地攻击者可利用该漏洞绕过身份验证,获取系统的全部访问权限。
Severity
Patch Name
RSA MFA Agent跨站脚本漏洞的补丁
Patch Description
RSA MFA Agent是一套身份验证代理软件。 基于Windows平台的RSA MFA Agent 2.0版本中存在跨站脚本漏洞,该漏洞源于WEB应用缺少对客户端数据的正确验证。本地攻击者可利用该漏洞绕过身份验证,获取系统的全部访问权限。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

厂商已发布了漏洞修复程序,请及时关注更新: https://community.rsa.com/docs/DOC-113541

Reference
https://community.rsa.com/docs/DOC-113541
Impacted products
Name
RSA RSA MFA Agent 2
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2020-5384",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2020-5384"
    }
  },
  "description": "RSA MFA Agent\u662f\u4e00\u5957\u8eab\u4efd\u9a8c\u8bc1\u4ee3\u7406\u8f6f\u4ef6\u3002\n\n\u57fa\u4e8eWindows\u5e73\u53f0\u7684RSA MFA Agent 2.0\u7248\u672c\u4e2d\u5b58\u5728\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8eWEB\u5e94\u7528\u7f3a\u5c11\u5bf9\u5ba2\u6237\u7aef\u6570\u636e\u7684\u6b63\u786e\u9a8c\u8bc1\u3002\u672c\u5730\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u7ed5\u8fc7\u8eab\u4efd\u9a8c\u8bc1\uff0c\u83b7\u53d6\u7cfb\u7edf\u7684\u5168\u90e8\u8bbf\u95ee\u6743\u9650\u3002",
  "formalWay": "\u5382\u5546\u5df2\u53d1\u5e03\u4e86\u6f0f\u6d1e\u4fee\u590d\u7a0b\u5e8f\uff0c\u8bf7\u53ca\u65f6\u5173\u6ce8\u66f4\u65b0\uff1a\r\nhttps://community.rsa.com/docs/DOC-113541",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2020-44631",
  "openTime": "2020-08-06",
  "patchDescription": "RSA MFA Agent\u662f\u4e00\u5957\u8eab\u4efd\u9a8c\u8bc1\u4ee3\u7406\u8f6f\u4ef6\u3002\r\n\r\n\u57fa\u4e8eWindows\u5e73\u53f0\u7684RSA MFA Agent 2.0\u7248\u672c\u4e2d\u5b58\u5728\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8eWEB\u5e94\u7528\u7f3a\u5c11\u5bf9\u5ba2\u6237\u7aef\u6570\u636e\u7684\u6b63\u786e\u9a8c\u8bc1\u3002\u672c\u5730\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u7ed5\u8fc7\u8eab\u4efd\u9a8c\u8bc1\uff0c\u83b7\u53d6\u7cfb\u7edf\u7684\u5168\u90e8\u8bbf\u95ee\u6743\u9650\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": "RSA MFA Agent\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "RSA RSA MFA Agent 2"
  },
  "referenceLink": "https://community.rsa.com/docs/DOC-113541",
  "serverity": "\u4e2d",
  "submitTime": "2020-08-03",
  "title": "RSA MFA Agent\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e"
}



Log in or create an account to share your comment.




Tags
Taxonomy of the tags.


Loading…

Loading…

Loading…

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.

Loading…

Detection rules are retrieved from Rulezet.

Loading…

Loading…

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.


Loading…