GHSA-2P4H-VPPG-WJV6
Vulnerability from github – Published: 2026-03-06 15:31 – Updated: 2026-03-06 15:31
VLAI
Details
BitZoom 1.0 contains an SQL injection vulnerability that allows unauthenticated attackers to execute arbitrary SQL queries by injecting malicious code through the rollno and username parameters in forgot.php and login.php. Attackers can submit crafted POST requests with SQL UNION statements to extract database schema information and table contents from the application database.
Severity
{
"affected": [],
"aliases": [
"CVE-2018-25163"
],
"database_specific": {
"cwe_ids": [
"CWE-89"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-03-06T13:15:56Z",
"severity": "HIGH"
},
"details": "BitZoom 1.0 contains an SQL injection vulnerability that allows unauthenticated attackers to execute arbitrary SQL queries by injecting malicious code through the rollno and username parameters in forgot.php and login.php. Attackers can submit crafted POST requests with SQL UNION statements to extract database schema information and table contents from the application database.",
"id": "GHSA-2p4h-vppg-wjv6",
"modified": "2026-03-06T15:31:29Z",
"published": "2026-03-06T15:31:28Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2018-25163"
},
{
"type": "WEB",
"url": "https://www.exploit-db.com/exploits/45862"
},
{
"type": "WEB",
"url": "https://www.vulncheck.com/advisories/bitzoom-sql-injection-via-rollno-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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