GHSA-F2RX-XQG7-MQCX

Vulnerability from github – Published: 2026-02-07 00:30 – Updated: 2026-02-07 00:30
VLAI
Details

aSc TimeTables 2020.11.4 contains a denial of service vulnerability that allows attackers to crash the application by overwriting the Subject title field with a large buffer. Attackers can generate a 1000-character buffer and paste it into the Subject title to trigger an application crash and potential instability.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2020-37109"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-120"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-02-07T00:15:54Z",
    "severity": "MODERATE"
  },
  "details": "aSc TimeTables 2020.11.4 contains a denial of service vulnerability that allows attackers to crash the application by overwriting the Subject title field with a large buffer. Attackers can generate a 1000-character buffer and paste it into the Subject title to trigger an application crash and potential instability.",
  "id": "GHSA-f2rx-xqg7-mqcx",
  "modified": "2026-02-07T00:30:28Z",
  "published": "2026-02-07T00:30:28Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2020-37109"
    },
    {
      "type": "WEB",
      "url": "https://www.asctimetables.com/#!/home"
    },
    {
      "type": "WEB",
      "url": "https://www.exploit-db.com/exploits/48133"
    },
    {
      "type": "WEB",
      "url": "https://www.vulncheck.com/advisories/asc-timetables-denial-of-service"
    }
  ],
  "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:L/AC:L/AT:N/PR:N/UI:A/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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