GHSA-4XVH-CW62-MF4J

Vulnerability from github – Published: 2026-08-19 21:30 – Updated: 2026-08-19 21:30
VLAI
Details

A security issue exists within OTTO® Fleet Manager. The vulnerability stems from the use of an insufficient work factor in the bcrypt password hashing implementation, which could reduce the computational cost required for an attacker to perform offline brute-force attacks against stored password hashes. If an attacker gains access to an unencrypted system backup, the weakly hashed credentials could be more easily compromised.

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{
  "affected": [],
  "aliases": [
    "CVE-2026-75112"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-916"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-08-19T20:17:23Z",
    "severity": "MODERATE"
  },
  "details": "A security issue exists within OTTO\u00ae Fleet Manager. The vulnerability stems from the use of an insufficient work factor in the bcrypt password hashing implementation, which could reduce the computational cost required for an attacker to perform offline brute-force attacks against stored password hashes. If an attacker gains access to an unencrypted system backup, the weakly hashed credentials could be more easily compromised.",
  "id": "GHSA-4xvh-cw62-mf4j",
  "modified": "2026-08-19T21:30:36Z",
  "published": "2026-08-19T21:30:36Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-75112"
    },
    {
      "type": "WEB",
      "url": "https://www.rockwellautomation.com/en-us/trust-center/security-advisories/advisory.SD1791.html"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:4.0/AV:A/AC:L/AT:N/PR:L/UI:N/VC:H/VI:N/VA:N/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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