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GHSA-7896-447P-7W4J

Vulnerability from github – Published: 2025-07-03 18:31 – Updated: 2025-07-03 18:31
VLAI
Details

Stack-based Buffer Overflow vulnerability in ABB RMC-100, ABB RMC-100 LITE.

When the REST interface is enabled by the user, and an attacker gains access to the control network, and CVE-2025-6074 is exploited, the attacker can use the JSON configuration to overflow the date of expiration field.This issue affects RMC-100: from 2105457-043 through 2105457-045; RMC-100 LITE: from 2106229-015 through 2106229-016.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2025-6072"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-121"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2025-07-03T17:15:40Z",
    "severity": "HIGH"
  },
  "details": "Stack-based Buffer Overflow vulnerability in ABB RMC-100, ABB RMC-100 LITE.\n\n\n\nWhen the REST interface is enabled by the user, and an attacker gains access to\nthe control network, and CVE-2025-6074 is exploited, the attacker can use the\nJSON configuration to overflow the date of expiration field.This issue affects RMC-100: from 2105457-043 through 2105457-045; RMC-100 LITE: from 2106229-015 through 2106229-016.",
  "id": "GHSA-7896-447p-7w4j",
  "modified": "2025-07-03T18:31:29Z",
  "published": "2025-07-03T18:31:28Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2025-6072"
    },
    {
      "type": "WEB",
      "url": "https://search.abb.com/library/Download.aspx?DocumentID=9AKK108471A3623\u0026LanguageCode=en\u0026DocumentPartId=PDF\u0026Action=Launch"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
      "type": "CVSS_V3"
    },
    {
      "score": "CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:N/VC:N/VI:N/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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