CNVD-2020-03855

Vulnerability from cnvd - Published: 2020-02-05
VLAI
Title
Pivotal Software Spring Framework跨站脚本漏洞
Description
Pivotal Software Spring Framework是美国Pivotal Software公司的一套开源的Java、JavaEE应用程序框架。该框架可帮助开发人员构建高质量的应用。 Pivotal Software Spring Framework 5.2.3之前的5.2.x版本、5.1.13之前的5.1.x版本和5.0.16之前的5.0.x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，攻击者可利用该漏洞执行客户端代码。
Severity
高
Patch Name
Pivotal Software Spring Framework跨站脚本漏洞的补丁
Patch Description
Pivotal Software Spring Framework是美国Pivotal Software公司的一套开源的Java、JavaEE应用程序框架。该框架可帮助开发人员构建高质量的应用。 Pivotal Software Spring Framework 5.2.3之前的5.2.x版本、5.1.13之前的5.1.x版本和5.0.16之前的5.0.x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，攻击者可利用该漏洞执行客户端代码。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

厂商已发布了漏洞修复程序，请及时关注更新： https://spring.io/

Reference
https://pivotal.io/security/cve-2020-5398 https://nvd.nist.gov/vuln/detail/CVE-2020-5398
Impacted products
Name
['Pivotal Software Spring Framework 5.2.*，<5.2.3', 'Pivotal Software Spring Framework 5.1.*，<5.1.13', 'Pivotal Software Spring Framework 5.0.*，<5.0.16']
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  "cves": {
    "cve": {
      "cveNumber": "CVE-2020-5398",
      "cveUrl": "http://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-5398"
    }
  },
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  "formalWay": "\u5382\u5546\u5df2\u53d1\u5e03\u4e86\u6f0f\u6d1e\u4fee\u590d\u7a0b\u5e8f\uff0c\u8bf7\u53ca\u65f6\u5173\u6ce8\u66f4\u65b0\uff1a\r\nhttps://spring.io/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2020-03855",
  "openTime": "2020-02-05",
  "patchDescription": "Pivotal Software Spring Framework\u662f\u7f8e\u56fdPivotal Software\u516c\u53f8\u7684\u4e00\u5957\u5f00\u6e90\u7684Java\u3001JavaEE\u5e94\u7528\u7a0b\u5e8f\u6846\u67b6\u3002\u8be5\u6846\u67b6\u53ef\u5e2e\u52a9\u5f00\u53d1\u4eba\u5458\u6784\u5efa\u9ad8\u8d28\u91cf\u7684\u5e94\u7528\u3002\r\n\r\nPivotal Software Spring Framework 5.2.3\u4e4b\u524d\u76845.2.x\u7248\u672c\u30015.1.13\u4e4b\u524d\u76845.1.x\u7248\u672c\u548c5.0.16\u4e4b\u524d\u76845.0.x\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\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u6267\u884c\u5ba2\u6237\u7aef\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": "Pivotal Software Spring Framework\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
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      "Pivotal Software Spring Framework 5.1.*\uff0c\u003c5.1.13",
      "Pivotal Software Spring Framework 5.0.*\uff0c\u003c5.0.16"
    ]
  },
  "referenceLink": "https://pivotal.io/security/cve-2020-5398\r\nhttps://nvd.nist.gov/vuln/detail/CVE-2020-5398",
  "serverity": "\u9ad8",
  "submitTime": "2020-01-16",
  "title": "Pivotal Software Spring Framework\u8de8\u7ad9\u811a\u672c\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.



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.