GHSA-WP7R-98F8-J5F3

Vulnerability from github – Published: 2026-09-08 09:35 – Updated: 2026-09-08 09:35
VLAI
Details

A vulnerability has been identified in Reyrolle 7SR5 (All versions < V2.70). The input received over a proprietary communication protocol that is exposed when the device is placed into a special firmware-update mode is not properly validated, resulting in a memory corruption condition. This could allow an unauthenticated attacker with physical access to the device to cause a crash and potentially execute arbitrary code on the device.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-62653"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-787"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-09-08T09:18:17Z",
    "severity": "HIGH"
  },
  "details": "A vulnerability has been identified in Reyrolle 7SR5 (All versions \u003c V2.70). The input received over a proprietary communication protocol that is exposed when the device is placed into a special firmware-update mode is not properly validated, resulting in a memory corruption condition. This could allow an unauthenticated attacker with physical access to the device to cause a crash and potentially execute arbitrary code on the device.",
  "id": "GHSA-wp7r-98f8-j5f3",
  "modified": "2026-09-08T09:35:39Z",
  "published": "2026-09-08T09:35:39Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-62653"
    },
    {
      "type": "WEB",
      "url": "https://cert-portal.siemens.com/productcert/html/ssa-142885.html"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:P/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    },
    {
      "score": "CVSS:4.0/AV:P/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X",
      "type": "CVSS_V4"
    }
  ]
}



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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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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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