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GHSA-M73H-R7P8-3RVM

Vulnerability from github – Published: 2026-09-10 09:31 – Updated: 2026-09-10 09:31
VLAI
Details

A heap-based buffer overflow vulnerability in the PC bridge protocol decoder of BoschSensortec COINES_SDK (versions 2.10 through 2.12.2) allows attackers to cause a denial of service (process crash) or potentially execute arbitrary code.

The bridge decoder ({{bridge_decoder.c}}) trusts the packet length field provided by the external device and forwards it to the host response queue ({{mqueue_add_data}}) without validating the bounds of the destination buffer.

A malicious or compromised USB or Bluetooth Low Energy (BLE) peripheral can advertise a payload size up to ~3 KB, which exceeds the default queue slot size of 255 bytes.

This results in an unbounded heap overwrite ({{memcpy}}), corrupting adjacent heap metadata on the host system when processing the device's response.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-42807"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-122"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-09-10T09:17:02Z",
    "severity": "HIGH"
  },
  "details": "A heap-based buffer overflow vulnerability in the PC bridge protocol decoder of BoschSensortec COINES_SDK (versions 2.10 through 2.12.2) allows attackers to cause a denial of service (process crash) or potentially execute arbitrary code. \n\nThe bridge decoder ({{bridge_decoder.c}}) trusts the packet length field provided by the external device and forwards it to the host response queue ({{mqueue_add_data}}) without validating the bounds of the destination buffer. \n\nA malicious or compromised USB or Bluetooth Low Energy (BLE) peripheral can advertise a payload size up to ~3 KB, which exceeds the default queue slot size of 255 bytes. \n\nThis results in an unbounded heap overwrite ({{memcpy}}), corrupting adjacent heap metadata on the host system when processing the device\u0027s response.",
  "id": "GHSA-m73h-r7p8-3rvm",
  "modified": "2026-09-10T09:31:33Z",
  "published": "2026-09-10T09:31:33Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-42807"
    },
    {
      "type": "WEB",
      "url": "https://psirt.bosch.com/security-advisories/BOSCH-SA-223618.html"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:A/AC:L/PR:N/UI:R/S:U/C:H/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.

Sightings

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Nomenclature

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