GHSA-R47R-9PFJ-FPJ9
Vulnerability from github – Published: 2026-04-05 21:30 – Updated: 2026-04-05 21:30
VLAI
Details
C4G Basic Laboratory Information System 3.4 contains multiple SQL injection vulnerabilities that allow unauthenticated attackers to execute arbitrary SQL commands by injecting malicious code through the site parameter. Attackers can send GET requests to the users_select.php endpoint with crafted SQL payloads to extract sensitive database information including patient records and system credentials.
Severity
{
"affected": [],
"aliases": [
"CVE-2019-25678"
],
"database_specific": {
"cwe_ids": [
"CWE-306",
"CWE-89"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-04-05T21:16:45Z",
"severity": "HIGH"
},
"details": "C4G Basic Laboratory Information System 3.4 contains multiple SQL injection vulnerabilities that allow unauthenticated attackers to execute arbitrary SQL commands by injecting malicious code through the site parameter. Attackers can send GET requests to the users_select.php endpoint with crafted SQL payloads to extract sensitive database information including patient records and system credentials.",
"id": "GHSA-r47r-9pfj-fpj9",
"modified": "2026-04-05T21:30:20Z",
"published": "2026-04-05T21:30:20Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2019-25678"
},
{
"type": "WEB",
"url": "https://www.exploit-db.com/exploits/46438"
},
{
"type": "WEB",
"url": "https://www.vulncheck.com/advisories/c4g-blis-sql-injection-via-users-select-php"
}
],
"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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