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CNVD-2016-10458

Vulnerability from cnvd - Published: 2016-11-01
VLAI
Title
TrackR Bravo信息泄露漏洞
Description
TrackR Bravo是一款蓝牙物品防丢器。 TrackR Bravo存在信息泄露漏洞,攻击者可利用漏洞获得敏感信息。
Severity
Formal description

目前没有详细的解决方案提供: https://www.thetrackr.com/bravo

Reference
http://www.securityfocus.com/bid/93874
Impacted products
Name
TrackR Bravo
Show details on source website

{
  "bids": {
    "bid": {
      "bidNumber": "93874"
    }
  },
  "cves": {
    "cve": {
      "cveNumber": "CVE-2016-6539"
    }
  },
  "description": "TrackR Bravo\u662f\u4e00\u6b3e\u84dd\u7259\u7269\u54c1\u9632\u4e22\u5668\u3002\r\n\r\nTrackR Bravo\u5b58\u5728\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u6f0f\u6d1e\u83b7\u5f97\u654f\u611f\u4fe1\u606f\u3002",
  "discovererName": "Deral Heiland and Adam Compton of Rapid7, Inc.",
  "formalWay": "\u76ee\u524d\u6ca1\u6709\u8be6\u7ec6\u7684\u89e3\u51b3\u65b9\u6848\u63d0\u4f9b\uff1a\r\nhttps://www.thetrackr.com/bravo",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2016-10458",
  "openTime": "2016-11-01",
  "products": {
    "product": "TrackR Bravo"
  },
  "referenceLink": "http://www.securityfocus.com/bid/93874",
  "serverity": "\u4e2d",
  "submitTime": "2016-10-28",
  "title": "TrackR Bravo\u4fe1\u606f\u6cc4\u9732\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 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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