CNVD-2020-44913

Vulnerability from cnvd - Published: 2020-08-07
VLAI
Title
Tenable Network Security Nessus跨站脚本漏洞(CNVD-2020-44913)
Description
Tenable Network Security Nessus是美国Tenable Network Security公司的一款开源的系统漏洞扫描器。 Tenable Network Security Nessus 8.10.0及之前版本中存在跨站脚本漏洞,该漏洞源于程序未能正确验证输入,远程攻击者可利用该漏洞在用户会话中执行任意代码。
Severity
Patch Name
Tenable Network Security Nessus跨站脚本漏洞(CNVD-2020-44913)的补丁
Patch Description
Tenable Network Security Nessus是美国Tenable Network Security公司的一款开源的系统漏洞扫描器。 Tenable Network Security Nessus 8.10.0及之前版本中存在跨站脚本漏洞,该漏洞源于程序未能正确验证输入,远程攻击者可利用该漏洞在用户会话中执行任意代码。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

厂商已发布了漏洞修复程序,请及时关注更新: https://zh-cn.tenable.com/security/tns-2020-05?tns_redirect=true

Reference
https://www.tenable.com/security/tns-2020-05
Impacted products
Name
Tenable Network Security Nessus <=8.10.0
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2020-5765",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2020-5765"
    }
  },
  "description": "Tenable Network Security Nessus\u662f\u7f8e\u56fdTenable Network Security\u516c\u53f8\u7684\u4e00\u6b3e\u5f00\u6e90\u7684\u7cfb\u7edf\u6f0f\u6d1e\u626b\u63cf\u5668\u3002\n\nTenable Network Security Nessus 8.10.0\u53ca\u4e4b\u524d\u7248\u672c\u4e2d\u5b58\u5728\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7a0b\u5e8f\u672a\u80fd\u6b63\u786e\u9a8c\u8bc1\u8f93\u5165\uff0c\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5728\u7528\u6237\u4f1a\u8bdd\u4e2d\u6267\u884c\u4efb\u610f\u4ee3\u7801\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://zh-cn.tenable.com/security/tns-2020-05?tns_redirect=true",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2020-44913",
  "openTime": "2020-08-07",
  "patchDescription": "Tenable Network Security Nessus\u662f\u7f8e\u56fdTenable Network Security\u516c\u53f8\u7684\u4e00\u6b3e\u5f00\u6e90\u7684\u7cfb\u7edf\u6f0f\u6d1e\u626b\u63cf\u5668\u3002\r\n\r\nTenable Network Security Nessus 8.10.0\u53ca\u4e4b\u524d\u7248\u672c\u4e2d\u5b58\u5728\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7a0b\u5e8f\u672a\u80fd\u6b63\u786e\u9a8c\u8bc1\u8f93\u5165\uff0c\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5728\u7528\u6237\u4f1a\u8bdd\u4e2d\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": "Tenable Network Security Nessus\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\uff08CNVD-2020-44913\uff09\u7684\u8865\u4e01",
  "products": {
    "product": "Tenable Network Security Nessus \u003c=8.10.0"
  },
  "referenceLink": "https://www.tenable.com/security/tns-2020-05",
  "serverity": "\u4f4e",
  "submitTime": "2020-07-28",
  "title": "Tenable Network Security Nessus\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\uff08CNVD-2020-44913\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.
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  • 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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