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

CNVD-2020-73160

Vulnerability from cnvd - Published: 2020-12-22
VLAI
Title
SolarWinds Web Help Desk跨站脚本漏洞(CNVD-2020-73160)
Description
SolarWinds Web Help Desk是一款基于Web的帮助台工单和IT资产管理软件。 SolarWinds Web Help Desk 12.7.0存在跨站脚本漏洞。攻击者可利用该漏洞通过在请求中上传的SVG文档利用该漏洞进行跨站脚本攻击。
Severity
Patch Name
SolarWinds Web Help Desk跨站脚本漏洞(CNVD-2020-73160)的补丁
Patch Description
SolarWinds Web Help Desk是一款基于Web的帮助台工单和IT资产管理软件。 SolarWinds Web Help Desk 12.7.0存在跨站脚本漏洞。攻击者可通过在请求中上传的SVG文档利用该漏洞进行跨站脚本攻击。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://www.solarwinds.com/securityadvisory

Reference
https://nvd.nist.gov/vuln/detail/CVE-2019-16955
Impacted products
Name
Solarwinds Web Help Desk 12.7.0
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2019-16955",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2019-16955"
    }
  },
  "description": "SolarWinds Web Help Desk\u662f\u4e00\u6b3e\u57fa\u4e8eWeb\u7684\u5e2e\u52a9\u53f0\u5de5\u5355\u548cIT\u8d44\u4ea7\u7ba1\u7406\u8f6f\u4ef6\u3002\n\nSolarWinds Web Help Desk 12.7.0\u5b58\u5728\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u901a\u8fc7\u5728\u8bf7\u6c42\u4e2d\u4e0a\u4f20\u7684SVG\u6587\u6863\u5229\u7528\u8be5\u6f0f\u6d1e\u8fdb\u884c\u8de8\u7ad9\u811a\u672c\u653b\u51fb\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://www.solarwinds.com/securityadvisory",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2020-73160",
  "openTime": "2020-12-22",
  "patchDescription": "SolarWinds Web Help Desk\u662f\u4e00\u6b3e\u57fa\u4e8eWeb\u7684\u5e2e\u52a9\u53f0\u5de5\u5355\u548cIT\u8d44\u4ea7\u7ba1\u7406\u8f6f\u4ef6\u3002\r\n\r\nSolarWinds Web Help Desk 12.7.0\u5b58\u5728\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u901a\u8fc7\u5728\u8bf7\u6c42\u4e2d\u4e0a\u4f20\u7684SVG\u6587\u6863\u5229\u7528\u8be5\u6f0f\u6d1e\u8fdb\u884c\u8de8\u7ad9\u811a\u672c\u653b\u51fb\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": "SolarWinds Web Help Desk\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\uff08CNVD-2020-73160\uff09\u7684\u8865\u4e01",
  "products": {
    "product": "Solarwinds Web Help Desk 12.7.0"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2019-16955",
  "serverity": "\u4f4e",
  "submitTime": "2020-12-21",
  "title": "SolarWinds Web Help Desk\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\uff08CNVD-2020-73160\uff09"
}



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…