GHSA-C5H2-3P8V-G4PM
Vulnerability from github – Published: 2026-05-17 15:31 – Updated: 2026-05-17 15:31
VLAI
Details
Nordex N149/4.0-4.5 Wind Turbine Web Server 4.0 contains an SQL injection vulnerability that allows unauthenticated attackers to execute arbitrary SQL queries by injecting malicious code through the login parameter in login.php. Attackers can submit crafted POST requests with SQL injection payloads in the login field to extract sensitive database information and bypass authentication mechanisms.
Severity
{
"affected": [],
"aliases": [
"CVE-2018-25333"
],
"database_specific": {
"cwe_ids": [
"CWE-89"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-05-17T13:16:44Z",
"severity": "HIGH"
},
"details": "Nordex N149/4.0-4.5 Wind Turbine Web Server 4.0 contains an SQL injection vulnerability that allows unauthenticated attackers to execute arbitrary SQL queries by injecting malicious code through the login parameter in login.php. Attackers can submit crafted POST requests with SQL injection payloads in the login field to extract sensitive database information and bypass authentication mechanisms.",
"id": "GHSA-c5h2-3p8v-g4pm",
"modified": "2026-05-17T15:31:41Z",
"published": "2026-05-17T15:31:41Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2018-25333"
},
{
"type": "WEB",
"url": "https://www.exploit-db.com/exploits/44684"
},
{
"type": "WEB",
"url": "https://www.vulncheck.com/advisories/nordex-n149-wind-turbine-web-server-sql-injection"
},
{
"type": "WEB",
"url": "http://www.nordex-online.com"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:L/A:N",
"type": "CVSS_V3"
},
{
"score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:L/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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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
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.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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