GHSA-J4RV-C327-FRJJ
Vulnerability from github – Published: 2026-03-04 18:31 – Updated: 2026-03-04 18:31
VLAI?
Details
FreeSMS 2.1.2 contains a boolean-based blind SQL injection vulnerability in the password parameter that allows unauthenticated attackers to bypass authentication by injecting SQL code through the login endpoint. Attackers can exploit the vulnerable password parameter in requests to /pages/crc_handler.php?method=login to authenticate as any known user and subsequently modify their password via the profile update function.
Severity ?
{
"affected": [],
"aliases": [
"CVE-2019-25506"
],
"database_specific": {
"cwe_ids": [
"CWE-89"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-03-04T18:16:09Z",
"severity": "HIGH"
},
"details": "FreeSMS 2.1.2 contains a boolean-based blind SQL injection vulnerability in the password parameter that allows unauthenticated attackers to bypass authentication by injecting SQL code through the login endpoint. Attackers can exploit the vulnerable password parameter in requests to /pages/crc_handler.php?method=login to authenticate as any known user and subsequently modify their password via the profile update function.",
"id": "GHSA-j4rv-c327-frjj",
"modified": "2026-03-04T18:31:54Z",
"published": "2026-03-04T18:31:54Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2019-25506"
},
{
"type": "WEB",
"url": "https://www.exploit-db.com/exploits/46658"
},
{
"type": "WEB",
"url": "https://www.vulncheck.com/advisories/freesms-authentication-bypass-via-sql-injection"
}
],
"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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