GSD-2024-24134
Vulnerability from gsd - Updated: 2024-01-26 06:02Details
Sourcecodester Online Food Menu 1.0 is vulnerable to Cross Site Scripting (XSS) via the 'Menu Name' and 'Description' fields in the Update Menu section.
Aliases
{
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2024-24134"
],
"details": "Sourcecodester Online Food Menu 1.0 is vulnerable to Cross Site Scripting (XSS) via the \u0027Menu Name\u0027 and \u0027Description\u0027 fields in the Update Menu section.",
"id": "GSD-2024-24134",
"modified": "2024-01-26T06:02:25.977790Z",
"schema_version": "1.4.0"
}
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"affects": {
"vendor": {
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{
"product": {
"product_data": [
{
"product_name": "n/a",
"version": {
"version_data": [
{
"version_value": "n/a"
}
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"name": "https://github.com/BurakSevben/2024_Online_Food_Menu_XSS/",
"refsource": "MISC",
"url": "https://github.com/BurakSevben/2024_Online_Food_Menu_XSS/"
}
]
}
},
"nvd.nist.gov": {
"cve": {
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:remyandrade:online_food_menu:1.0:*:*:*:*:*:*:*",
"matchCriteriaId": "64211CD5-1C6A-4F07-86E3-8C9DE949BB47",
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"value": "Sourcecodester Online Food Menu 1.0 is vulnerable to Cross Site Scripting (XSS) via the \u0027Menu Name\u0027 and \u0027Description\u0027 fields in the Update Menu section."
},
{
"lang": "es",
"value": "Sourcecodester Online Food Menu 1.0 es vulnerable a Cross Site Scripting (XSS) a trav\u00e9s de los campos \u0027Menu Name\u0027 y \u0027Description\u0027 en la secci\u00f3n Update Menu."
}
],
"id": "CVE-2024-24134",
"lastModified": "2024-02-22T03:36:42.397",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 4.8,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "LOW",
"integrityImpact": "LOW",
"privilegesRequired": "HIGH",
"scope": "CHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:H/UI:R/S:C/C:L/I:L/A:N",
"version": "3.1"
},
"exploitabilityScore": 1.7,
"impactScore": 2.7,
"source": "nvd@nist.gov",
"type": "Primary"
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},
"published": "2024-01-29T19:15:08.940",
"references": [
{
"source": "cve@mitre.org",
"tags": [
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"Third Party Advisory"
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"url": "https://github.com/BurakSevben/2024_Online_Food_Menu_XSS/"
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"sourceIdentifier": "cve@mitre.org",
"vulnStatus": "Analyzed",
"weaknesses": [
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"value": "CWE-79"
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}
}
}
}
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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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