GHSA-FX37-W2G6-GG44

Vulnerability from github – Published: 2026-08-28 21:31 – Updated: 2026-08-28 21:31
VLAI
Details

PLANET GS-4210-16P2S firmware before 3.441b260626 contains a pre-authentication memory corruption vulnerability in the web management interface where the _readHttpParam function copies an oversized HTTP query string without guaranteeing NUL termination, allowing parse_query_string to process attacker-controlled data into a fixed-size stack buffer. An unauthenticated remote attacker can send an oversized GET request to dispatcher.cgi to cause denial of service of the web management interface and potentially trigger memory corruption.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-75124"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-120"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-08-28T20:19:52Z",
    "severity": "HIGH"
  },
  "details": "PLANET GS-4210-16P2S firmware before 3.441b260626 contains a pre-authentication memory corruption vulnerability in the web management interface where the _readHttpParam function copies an oversized HTTP query string without guaranteeing NUL termination, allowing parse_query_string to process attacker-controlled data into a fixed-size stack buffer. An unauthenticated remote attacker can send an oversized GET request to dispatcher.cgi to cause denial of service of the web management interface and potentially trigger memory corruption.",
  "id": "GHSA-fx37-w2g6-gg44",
  "modified": "2026-08-28T21:31:17Z",
  "published": "2026-08-28T21:31:17Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-75124"
    },
    {
      "type": "WEB",
      "url": "https://www.planet.com.tw/en/support/security-advisory/10"
    },
    {
      "type": "WEB",
      "url": "https://www.vulncheck.com/advisories/planet-gs-4210-16p2s-memory-corruption-via-dispatcher-cgi-readhttpparam"
    }
  ],
  "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: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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