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GHSA-2CFM-PF58-8M3H

Vulnerability from github – Published: 2025-12-23 00:30 – Updated: 2025-12-23 00:30
VLAI
Details

Cobian Backup 11 Gravity 11.2.0.582 contains a denial of service vulnerability in the FTP password input field that allows attackers to crash the application. Attackers can generate a specially crafted 800-byte buffer and paste it into the password field to trigger an application crash.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2022-50687"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-120"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2025-12-22T22:15:59Z",
    "severity": "MODERATE"
  },
  "details": "Cobian Backup 11 Gravity 11.2.0.582 contains a denial of service vulnerability in the FTP password input field that allows attackers to crash the application. Attackers can generate a specially crafted 800-byte buffer and paste it into the password field to trigger an application crash.",
  "id": "GHSA-2cfm-pf58-8m3h",
  "modified": "2025-12-23T00:30:31Z",
  "published": "2025-12-23T00:30:31Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-50687"
    },
    {
      "type": "WEB",
      "url": "https://www.cobiansoft.com"
    },
    {
      "type": "WEB",
      "url": "https://www.exploit-db.com/exploits/50790"
    },
    {
      "type": "WEB",
      "url": "https://www.vulncheck.com/advisories/cobian-backup-gravity-local-denial-of-service-via-password-field"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N",
      "type": "CVSS_V3"
    },
    {
      "score": "CVSS:4.0/AV:L/AC:L/AT:N/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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Related by attack behaviour

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