CNVD-2021-26051

Vulnerability from cnvd - Published: 2021-04-09
VLAI
Title
Aruba Instant缓冲区溢出漏洞(CNVD-2021-26051)
Description
Aruba Instant是一款云托管无控制器无线接入点。 Aruba Instant存在缓冲区溢出漏洞,攻击者可通过向PAPI UDP端口发送特制数据包利用该漏洞在底层操作系统中执行任意代码。
Severity
高
Patch Name
Aruba Instant缓冲区溢出漏洞(CNVD-2021-26051)的补丁
Patch Description
Aruba Instant是一款云托管无控制器无线接入点。 Aruba Instant存在缓冲区溢出漏洞,攻击者可通过向PAPI UDP端口发送特制数据包利用该漏洞在底层操作系统中执行任意代码。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://www.arubanetworks.com/assets/alert/ARUBA-PSA-2021-007.txt

Reference
https://nvd.nist.gov/vuln/detail/CVE-2021-25144
Impacted products
Name
['Aruba Instant 6.4.*,<=6.4.4.8', 'Aruba Instant 6.5.*,<=6.5.4.16', 'Aruba Instant 8.3.*,<=8.3.0.12', 'Aruba Instant 8.5.*,<=8.5.0.6', 'Aruba Instant 8.6.*,<=8.6.0.2']
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2021-25144",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2021-25144"
    }
  },
  "description": "Aruba Instant\u662f\u4e00\u6b3e\u4e91\u6258\u7ba1\u65e0\u63a7\u5236\u5668\u65e0\u7ebf\u63a5\u5165\u70b9\u3002\n\nAruba Instant\u5b58\u5728\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u901a\u8fc7\u5411PAPI UDP\u7aef\u53e3\u53d1\u9001\u7279\u5236\u6570\u636e\u5305\u5229\u7528\u8be5\u6f0f\u6d1e\u5728\u5e95\u5c42\u64cd\u4f5c\u7cfb\u7edf\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://www.arubanetworks.com/assets/alert/ARUBA-PSA-2021-007.txt",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2021-26051",
  "openTime": "2021-04-09",
  "patchDescription": "Aruba Instant\u662f\u4e00\u6b3e\u4e91\u6258\u7ba1\u65e0\u63a7\u5236\u5668\u65e0\u7ebf\u63a5\u5165\u70b9\u3002\r\n\r\nAruba Instant\u5b58\u5728\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u901a\u8fc7\u5411PAPI UDP\u7aef\u53e3\u53d1\u9001\u7279\u5236\u6570\u636e\u5305\u5229\u7528\u8be5\u6f0f\u6d1e\u5728\u5e95\u5c42\u64cd\u4f5c\u7cfb\u7edf\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": "Aruba Instant\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\uff08CNVD-2021-26051\uff09\u7684\u8865\u4e01",
  "products": {
    "product": [
      "Aruba Instant 6.4.*\uff0c\u003c=6.4.4.8",
      "Aruba Instant 6.5.*\uff0c\u003c=6.5.4.16",
      "Aruba Instant 8.3.*\uff0c\u003c=8.3.0.12",
      "Aruba Instant 8.5.*\uff0c\u003c=8.5.0.6",
      "Aruba Instant 8.6.*\uff0c\u003c=8.6.0.2"
    ]
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2021-25144",
  "serverity": "\u9ad8",
  "submitTime": "2021-03-30",
  "title": "Aruba Instant\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\uff08CNVD-2021-26051\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

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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