GHSA-X32W-4FVG-CGRJ
Vulnerability from github – Published: 2026-03-06 15:31 – Updated: 2026-03-06 15:31
VLAI?
Details
Nominas 0.27 contains an SQL injection vulnerability that allows unauthenticated attackers to execute arbitrary SQL queries by injecting malicious code through the username parameter. Attackers can send POST requests to the login/checklogin.php endpoint with crafted UNION-based SQL injection payloads to extract database information including usernames, database names, and version details.
Severity ?
{
"affected": [],
"aliases": [
"CVE-2018-25194"
],
"database_specific": {
"cwe_ids": [
"CWE-22"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-03-06T13:16:02Z",
"severity": "HIGH"
},
"details": "Nominas 0.27 contains an SQL injection vulnerability that allows unauthenticated attackers to execute arbitrary SQL queries by injecting malicious code through the username parameter. Attackers can send POST requests to the login/checklogin.php endpoint with crafted UNION-based SQL injection payloads to extract database information including usernames, database names, and version details.",
"id": "GHSA-x32w-4fvg-cgrj",
"modified": "2026-03-06T15:31:29Z",
"published": "2026-03-06T15:31:29Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2018-25194"
},
{
"type": "WEB",
"url": "https://www.exploit-db.com/exploits/45820"
},
{
"type": "WEB",
"url": "https://www.vulncheck.com/advisories/nominas-sql-injection-via-username-parameter"
}
],
"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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