GHSA-G3JH-2C96-X65C
Vulnerability from github – Published: 2026-05-29 18:31 – Updated: 2026-05-29 18:31
VLAI
Details
Zechat 1.5 contains an SQL injection vulnerability that allows unauthenticated attackers to extract database information by injecting SQL code through the uname parameter. Attackers can send crafted requests to profile.php with UNION-based SQL injection payloads to retrieve table names, column names, and sensitive data from the information_schema database.
Severity
{
"affected": [],
"aliases": [
"CVE-2018-25382"
],
"database_specific": {
"cwe_ids": [
"CWE-89"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-05-29T16:16:17Z",
"severity": "HIGH"
},
"details": "Zechat 1.5 contains an SQL injection vulnerability that allows unauthenticated attackers to extract database information by injecting SQL code through the uname parameter. Attackers can send crafted requests to profile.php with UNION-based SQL injection payloads to retrieve table names, column names, and sensitive data from the information_schema database.",
"id": "GHSA-g3jh-2c96-x65c",
"modified": "2026-05-29T18:31:30Z",
"published": "2026-05-29T18:31:30Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2018-25382"
},
{
"type": "WEB",
"url": "https://bylancer.com"
},
{
"type": "WEB",
"url": "https://bylancer.com/products/zechat-php-script/index.php"
},
{
"type": "WEB",
"url": "https://www.exploit-db.com/exploits/45523"
},
{
"type": "WEB",
"url": "https://www.vulncheck.com/advisories/zechat-sql-injection-via-uname-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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