GHSA-64PP-R5X2-FGFF

Vulnerability from github – Published: 2022-05-13 01:46 – Updated: 2022-05-13 01:46
VLAI
Details

An issue was discovered in St. Jude Medical Merlin@home, versions prior to Version 8.2.2 (RF models: EX1150; Inductive models: EX1100; and Inductive models: EX1100 with MerlinOnDemand capability). The identities of the endpoints for the communication channel between the transmitter and St. Jude Medical's web site, Merlin.net, are not verified. This may allow a man-in-the-middle attacker to access or influence communications between the identified endpoints.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2017-5149"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-476"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2017-02-13T22:59:00Z",
    "severity": "HIGH"
  },
  "details": "An issue was discovered in St. Jude Medical Merlin@home, versions prior to Version 8.2.2 (RF models: EX1150; Inductive models: EX1100; and Inductive models: EX1100 with MerlinOnDemand capability). The identities of the endpoints for the communication channel between the transmitter and St. Jude Medical\u0027s web site, Merlin.net, are not verified. This may allow a man-in-the-middle attacker to access or influence communications between the identified endpoints.",
  "id": "GHSA-64pp-r5x2-fgff",
  "modified": "2022-05-13T01:46:01Z",
  "published": "2022-05-13T01:46:01Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2017-5149"
    },
    {
      "type": "WEB",
      "url": "https://ics-cert.us-cert.gov/advisories/ICSMA-17-009-01A"
    },
    {
      "type": "WEB",
      "url": "http://www.securityfocus.com/bid/95331"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.0/AV:N/AC:H/PR:N/UI:N/S:C/C:L/I:H/A:H",
      "type": "CVSS_V3"
    }
  ]
}



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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.

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