FKIE_CVE-2021-39412
Vulnerability from fkie_nvd - Published: 2021-11-05 15:15 - Updated: 2026-06-17 04:03
Severity
Summary
Multiple Cross Site Scripting (XSS) vulnerabilities exists in PHPGurukul Shopping v3.1 via the (1) callback parameter in (a) server_side/scripts/id_jsonp.php, (b) server_side/scripts/jsonp.php, and (c) scripts/objects_jsonp.php, the (2) value parameter in examples_support/editable_ajax.php, and the (3) PHP_SELF parameter in captcha/index.php.
References
| URL | Tags | ||
|---|---|---|---|
| cve@mitre.org | https://sisl.lab.uic.edu/projects/chess/php-gurukul-shopping/ | Third Party Advisory | |
| af854a3a-2127-422b-91ae-364da2661108 | https://sisl.lab.uic.edu/projects/chess/php-gurukul-shopping/ | Third Party Advisory |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| shopping_portal_project | shopping_portal | 3.1 |
{
"affected": [
{
"affectedData": [
{
"product": "n/a",
"vendor": "n/a",
"versions": [
{
"status": "affected",
"version": "n/a"
}
]
}
],
"source": "cve@mitre.org"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:shopping_portal_project:shopping_portal:3.1:*:*:*:*:*:*:*",
"matchCriteriaId": "44BA0564-DD15-4CD6-B61E-A0C6193CC846",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Multiple Cross Site Scripting (XSS) vulnerabilities exists in PHPGurukul Shopping v3.1 via the (1) callback parameter in (a) server_side/scripts/id_jsonp.php, (b) server_side/scripts/jsonp.php, and (c) scripts/objects_jsonp.php, the (2) value parameter in examples_support/editable_ajax.php, and the (3) PHP_SELF parameter in captcha/index.php."
},
{
"lang": "es",
"value": "Se presentan m\u00faltiples vulnerabilidades de tipo Cross Site Scripting (XSS) en PHPGurukul Shopping versi\u00f3n v3.1 por medio del par\u00e1metro (1) callback en (a) los archivos server_side/scripts/id_jsonp.php, (b) server_side/scripts/jsonp.php, y (c) scripts/objects_jsonp.php, el par\u00e1metro (2) value en el archivo examples_support/editable_ajax.php, y el (3) par\u00e1metro PHP_SELF en el archivo captcha/index.php"
}
],
"id": "CVE-2021-39412",
"lastModified": "2026-06-17T04:03:40.800",
"metrics": {
"cvssMetricV2": [
{
"acInsufInfo": false,
"baseSeverity": "MEDIUM",
"cvssData": {
"accessComplexity": "MEDIUM",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "NONE",
"baseScore": 4.3,
"confidentialityImpact": "NONE",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:M/Au:N/C:N/I:P/A:N",
"version": "2.0"
},
"exploitabilityScore": 8.6,
"impactScore": 2.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"source": "nvd@nist.gov",
"type": "Primary",
"userInteractionRequired": true
}
],
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 6.1,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "LOW",
"integrityImpact": "LOW",
"privilegesRequired": "NONE",
"scope": "CHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N",
"version": "3.1"
},
"exploitabilityScore": 2.8,
"impactScore": 2.7,
"source": "nvd@nist.gov",
"type": "Primary"
}
]
},
"published": "2021-11-05T15:15:07.847",
"references": [
{
"source": "cve@mitre.org",
"tags": [
"Third Party Advisory"
],
"url": "https://sisl.lab.uic.edu/projects/chess/php-gurukul-shopping/"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Third Party Advisory"
],
"url": "https://sisl.lab.uic.edu/projects/chess/php-gurukul-shopping/"
}
],
"sourceIdentifier": "cve@mitre.org",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-79"
}
],
"source": "nvd@nist.gov",
"type": "Primary"
}
]
}
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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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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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