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GHSA-83GR-GJXH-XVRX

Vulnerability from github – Published: 2026-04-29 21:31 – Updated: 2026-04-29 21:31
VLAI
Details

Tenda W3002R/A302/W309R wireless routers version V5.07.64_en contain a cookie session weakness vulnerability that allows unauthenticated attackers to modify DNS settings by exploiting insufficient session validation. Attackers can send GET requests to the /goform/AdvSetDns endpoint with a crafted admin language cookie to change primary and secondary DNS servers, redirecting user traffic to malicious DNS servers.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2018-25317"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-290"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-04-29T20:16:27Z",
    "severity": "CRITICAL"
  },
  "details": "Tenda W3002R/A302/W309R wireless routers version V5.07.64_en contain a cookie session weakness vulnerability that allows unauthenticated attackers to modify DNS settings by exploiting insufficient session validation. Attackers can send GET requests to the /goform/AdvSetDns endpoint with a crafted admin language cookie to change primary and secondary DNS servers, redirecting user traffic to malicious DNS servers.",
  "id": "GHSA-83gr-gjxh-xvrx",
  "modified": "2026-04-29T21:31:30Z",
  "published": "2026-04-29T21:31:30Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2018-25317"
    },
    {
      "type": "WEB",
      "url": "https://www.exploit-db.com/exploits/44380"
    },
    {
      "type": "WEB",
      "url": "https://www.vulncheck.com/advisories/tenda-w3002r-a302-w309r-64-en-cookie-session-weakness-dns-change"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    },
    {
      "score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/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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