GHSA-R5VQ-MJ8W-VRX8
Vulnerability from github – Published: 2026-06-19 18:32 – Updated: 2026-06-19 18:32
VLAI
Details
Joomla! Component jCart for OpenCart 2.0 contains an SQL injection vulnerability that allows unauthenticated attackers to manipulate database queries by injecting SQL code through the product_id parameter. Attackers can send GET requests to index.php with the option=com_jcart&route=product/product parameters and malicious product_id values to extract sensitive database information.
Severity
{
"affected": [],
"aliases": [
"CVE-2017-20282"
],
"database_specific": {
"cwe_ids": [
"CWE-89"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-06-19T17:16:16Z",
"severity": "HIGH"
},
"details": "Joomla! Component jCart for OpenCart 2.0 contains an SQL injection vulnerability that allows unauthenticated attackers to manipulate database queries by injecting SQL code through the product_id parameter. Attackers can send GET requests to index.php with the option=com_jcart\u0026route=product/product parameters and malicious product_id values to extract sensitive database information.",
"id": "GHSA-r5vq-mj8w-vrx8",
"modified": "2026-06-19T18:32:33Z",
"published": "2026-06-19T18:32:33Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2017-20282"
},
{
"type": "WEB",
"url": "https://www.exploit-db.com/exploits/41642"
},
{
"type": "WEB",
"url": "https://www.vulncheck.com/advisories/joomla-component-jcart-for-opencart-sql-injection"
},
{
"type": "WEB",
"url": "http://soft-php.com"
}
],
"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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