CNVD-2021-44768

Vulnerability from cnvd - Published: 2021-06-24
VLAI
Title
McAfee Database Security跨站脚本漏洞
Description
Mcafee Database Security Server是美国迈克菲(Mcafee)公司的一款数据库安全软件。该软件可为用户提供数据库的整体情况和相应安全状况,实时保护关键业务数据库免受外部,内部和内部数据库威胁的侵害。 McAfee数据库4.8.2之前存在安全漏洞,攻击者可利用该漏洞在配置要监控的数据库名称时嵌入JavaScript代码。
Severity
低
Patch Name
McAfee Database Security跨站脚本漏洞的补丁
Patch Description
Mcafee Database Security Server是美国迈克菲(Mcafee)公司的一款数据库安全软件。该软件可为用户提供数据库的整体情况和相应安全状况,实时保护关键业务数据库免受外部,内部和内部数据库威胁的侵害。 McAfee数据库4.8.2之前存在安全漏洞,攻击者可利用该漏洞在配置要监控的数据库名称时嵌入JavaScript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

目前厂商已提供相关漏洞补丁链接,请关注厂商主页及时更新: http://www.mcafee.com/us/downloads/downloads.aspx

Reference
https://nvd.nist.gov/vuln/detail/CVE-2021-31830
Impacted products
Name
Mcafee McAfee Database Security <4.8.2
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2021-31830"
    }
  },
  "description": "Mcafee Database Security Server\u662f\u7f8e\u56fd\u8fc8\u514b\u83f2\uff08Mcafee\uff09\u516c\u53f8\u7684\u4e00\u6b3e\u6570\u636e\u5e93\u5b89\u5168\u8f6f\u4ef6\u3002\u8be5\u8f6f\u4ef6\u53ef\u4e3a\u7528\u6237\u63d0\u4f9b\u6570\u636e\u5e93\u7684\u6574\u4f53\u60c5\u51b5\u548c\u76f8\u5e94\u5b89\u5168\u72b6\u51b5\uff0c\u5b9e\u65f6\u4fdd\u62a4\u5173\u952e\u4e1a\u52a1\u6570\u636e\u5e93\u514d\u53d7\u5916\u90e8\uff0c\u5185\u90e8\u548c\u5185\u90e8\u6570\u636e\u5e93\u5a01\u80c1\u7684\u4fb5\u5bb3\u3002 \n\nMcAfee\u6570\u636e\u5e934.8.2\u4e4b\u524d\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5728\u914d\u7f6e\u8981\u76d1\u63a7\u7684\u6570\u636e\u5e93\u540d\u79f0\u65f6\u5d4c\u5165JavaScript\u4ee3\u7801\u3002",
  "formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u63d0\u4f9b\u76f8\u5173\u6f0f\u6d1e\u8865\u4e01\u94fe\u63a5\uff0c\u8bf7\u5173\u6ce8\u5382\u5546\u4e3b\u9875\u53ca\u65f6\u66f4\u65b0\uff1a\r\nhttp://www.mcafee.com/us/downloads/downloads.aspx",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2021-44768",
  "openTime": "2021-06-24",
  "patchDescription": "Mcafee Database Security Server\u662f\u7f8e\u56fd\u8fc8\u514b\u83f2\uff08Mcafee\uff09\u516c\u53f8\u7684\u4e00\u6b3e\u6570\u636e\u5e93\u5b89\u5168\u8f6f\u4ef6\u3002\u8be5\u8f6f\u4ef6\u53ef\u4e3a\u7528\u6237\u63d0\u4f9b\u6570\u636e\u5e93\u7684\u6574\u4f53\u60c5\u51b5\u548c\u76f8\u5e94\u5b89\u5168\u72b6\u51b5\uff0c\u5b9e\u65f6\u4fdd\u62a4\u5173\u952e\u4e1a\u52a1\u6570\u636e\u5e93\u514d\u53d7\u5916\u90e8\uff0c\u5185\u90e8\u548c\u5185\u90e8\u6570\u636e\u5e93\u5a01\u80c1\u7684\u4fb5\u5bb3\u3002 \r\n\r\nMcAfee\u6570\u636e\u5e934.8.2\u4e4b\u524d\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5728\u914d\u7f6e\u8981\u76d1\u63a7\u7684\u6570\u636e\u5e93\u540d\u79f0\u65f6\u5d4c\u5165JavaScript\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": "McAfee Database Security\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Mcafee McAfee Database Security \u003c4.8.2"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2021-31830",
  "serverity": "\u4f4e",
  "submitTime": "2021-06-04",
  "title": "McAfee Database Security\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e"
}



Log in or create an account to share your comment.




Tags
Taxonomy of the tags.


Loading…

Loading…

Loading…

Drag nodes to arrange them. Double-click a related vulnerability to open it, or a source to visit its link. The Physics button on the left tunes the layout and the simulation; the legend at the bottom left hides or shows nodes by kind and by sighting type.

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.
Vulnerability timeline

Sightings and recorded dates, grouped by day · UTC

JSON
How durations are calculated

Following the VTEM framework (Black Hat USA 2015), time to patch starts when the vendor or a coordinator was informed, total time to patch at discovery, and disclosure to patch at public disclosure; vendor response time runs from the report to its acknowledgement. Time to exploit and time unpatched start at the earliest discovery or report, falling back to public disclosure. Unpatched time ends at the first recorded patch, or the calculation time when no patch is recorded. Exploitation to patch shows the interval between those two events; a published proof of concept is a public exploit, not exploitation.

Each result shows its source dates. A negative interval means the end event came first; when date-only inputs leave the order open, the result says so. Date-only inputs are approximate. The earliest evidence wins: KEV report dates and sightings are labelled as such. Records describing another vulnerability are listed but never calculated from, and a PoC alone does not establish exploitation. Missing patch evidence does not prove that no patch exists. Filters below change the event list only.

Events included in the timeline

Loading timeline…


    Loading…

    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.