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CNVD-2019-34834

Vulnerability from cnvd - Published: 2019-10-12
VLAI
Title
Logitech R500注入漏洞
Description
Logitech R500是瑞士罗技(Logitech)公司的一款无线激光演示遥控器。 Logitech R500存在注入漏洞。攻击者可利用该漏洞注入击键。
Severity
Formal description

厂商尚未提供漏洞修复方案,请关注厂商主页更新: https://www.logitech.com/

Reference
https://nvd.nist.gov/vuln/detail/CVE-2019-13054
Impacted products
Name
Logitech Logitech R500 无
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2019-13054",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2019-13054"
    }
  },
  "description": "Logitech R500\u662f\u745e\u58eb\u7f57\u6280\uff08Logitech\uff09\u516c\u53f8\u7684\u4e00\u6b3e\u65e0\u7ebf\u6fc0\u5149\u6f14\u793a\u9065\u63a7\u5668\u3002\n\nLogitech R500\u5b58\u5728\u6ce8\u5165\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u6ce8\u5165\u51fb\u952e\u3002",
  "discovererName": "unknown",
  "formalWay": "\u5382\u5546\u5c1a\u672a\u63d0\u4f9b\u6f0f\u6d1e\u4fee\u590d\u65b9\u6848\uff0c\u8bf7\u5173\u6ce8\u5382\u5546\u4e3b\u9875\u66f4\u65b0\uff1a\r\nhttps://www.logitech.com/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2019-34834",
  "openTime": "2019-10-12",
  "products": {
    "product": "Logitech Logitech R500 \u65e0"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2019-13054",
  "serverity": "\u4f4e",
  "submitTime": "2019-07-02",
  "title": "Logitech R500\u6ce8\u5165\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

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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.
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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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