CNVD-2023-85954

Vulnerability from cnvd - Published: 2023-11-16
VLAI
Title
Cisco Small Business Series Switches堆缓冲区溢出漏洞
Description
Cisco Small Business Series Switches是美国思科(Cisco)公司的交换机产品。 Cisco Small Business Series Switches存在堆缓冲区溢出漏洞。该漏洞源于发送到Web界面的请求验证不正确造成的,攻击者可以利用该漏洞造成拒绝服务。
Severity
高
Patch Name
Cisco Small Business Series Switches堆缓冲区溢出漏洞的补丁
Patch Description
Cisco Small Business Series Switches是美国思科(Cisco)公司的交换机产品。 Cisco Small Business Series Switches存在堆缓冲区溢出漏洞。该漏洞源于发送到Web界面的请求验证不正确造成的,攻击者可以利用该漏洞造成拒绝服务。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://sec.cloudapps.cisco.com/security/center/content/CiscoSecurityAdvisory/cisco-sa-sg-web-multi-S9g4Nkgv

Reference
https://nvd.nist.gov/vuln/detail/CVE-2023-20024
Impacted products
Name
Cisco Small Business Series Switches
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2023-20024",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2023-20024"
    }
  },
  "description": "Cisco Small Business Series Switches\u662f\u7f8e\u56fd\u601d\u79d1\uff08Cisco\uff09\u516c\u53f8\u7684\u4ea4\u6362\u673a\u4ea7\u54c1\u3002\n\nCisco Small Business Series Switches\u5b58\u5728\u5806\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\u3002\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u53d1\u9001\u5230Web\u754c\u9762\u7684\u8bf7\u6c42\u9a8c\u8bc1\u4e0d\u6b63\u786e\u9020\u6210\u7684\uff0c\u653b\u51fb\u8005\u53ef\u4ee5\u5229\u7528\u8be5\u6f0f\u6d1e\u9020\u6210\u62d2\u7edd\u670d\u52a1\u3002",
  "formalWay": "\u5382\u5546\u5df2\u53d1\u5e03\u4e86\u6f0f\u6d1e\u4fee\u590d\u7a0b\u5e8f\uff0c\u8bf7\u53ca\u65f6\u5173\u6ce8\u66f4\u65b0:\r\nhttps://sec.cloudapps.cisco.com/security/center/content/CiscoSecurityAdvisory/cisco-sa-sg-web-multi-S9g4Nkgv",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2023-85954",
  "openTime": "2023-11-16",
  "patchDescription": "Cisco Small Business Series Switches\u662f\u7f8e\u56fd\u601d\u79d1\uff08Cisco\uff09\u516c\u53f8\u7684\u4ea4\u6362\u673a\u4ea7\u54c1\u3002\r\n\r\nCisco Small Business Series Switches\u5b58\u5728\u5806\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\u3002\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u53d1\u9001\u5230Web\u754c\u9762\u7684\u8bf7\u6c42\u9a8c\u8bc1\u4e0d\u6b63\u786e\u9020\u6210\u7684\uff0c\u653b\u51fb\u8005\u53ef\u4ee5\u5229\u7528\u8be5\u6f0f\u6d1e\u9020\u6210\u62d2\u7edd\u670d\u52a1\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": "Cisco Small Business Series Switches\u5806\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Cisco Small Business Series Switches"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2023-20024",
  "serverity": "\u9ad8",
  "submitTime": "2023-05-19",
  "title": "Cisco Small Business Series Switches\u5806\u7f13\u51b2\u533a\u6ea2\u51fa\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.

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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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