CVE-2024-8172 (GCVE-0-2024-8172)
Vulnerability from cvelistv5 – Published: 2024-08-26 16:00 – Updated: 2024-08-28 14:31
VLAI
EPSS
VEX
Title
SourceCodester QR Code Attendance System delete-student.php cross site scripting
Summary
A vulnerability, which was classified as problematic, has been found in SourceCodester QR Code Attendance System 1.0. This issue affects some unknown processing of the file /endpoint/delete-student.php. The manipulation of the argument student/attendance leads to cross site scripting. The attack may be initiated remotely. The exploit has been disclosed to the public and may be used.
Severity
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-08-28 14:29 UTC
CWE
- CWE-79 - Cross Site Scripting
Assigner
References
6 references
| URL | Tags |
|---|---|
| https://vuldb.com/?id.275771 | vdb-entrytechnical-description |
| https://vuldb.com/?ctiid.275771 | signaturepermissions-required |
| https://vuldb.com/?submit.397724 | third-party-advisory |
| https://github.com/jadu101/CVE/blob/main/SourceCo… | related |
| https://github.com/jadu101/CVE/blob/main/SourceCo… | broken-linkexploit |
| https://www.sourcecodester.com/ | product |
Impacted products
2 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| SourceCodester | QR Code Attendance System |
Affected:
1.0
|
guessed | |
| sourcecodester | qr_code_attendance_system |
Affected:
1.0
cpe:2.3:a:sourcecodester:qr_code_attendance_system:1.0:*:*:*:*:*:*:* |
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"source": "Red Hat CSAF VEX",
"status": "final",
"title": "SourceCodester QR Code Attendance System delete-student.php cross site scripting",
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2024/cve-2024-8172.json",
"version": "3"
},
"vulnrichment": {
"containers": {
"adp": [
{
"affected": [
{
"cpes": [
"cpe:2.3:a:sourcecodester:qr_code_attendance_system:1.0:*:*:*:*:*:*:*"
],
"defaultStatus": "unknown",
"product": "qr_code_attendance_system",
"vendor": "sourcecodester",
"versions": [
{
"status": "affected",
"version": "1.0"
}
]
}
],
"metrics": [
{
"other": {
"content": {
"id": "CVE-2024-8172",
"options": [
{
"Exploitation": "poc"
},
{
"Automatable": "no"
},
{
"Technical Impact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2024-08-28T14:29:33.621318Z",
"version": "2.0.3"
},
"type": "ssvc"
}
}
],
"providerMetadata": {
"dateUpdated": "2024-08-28T14:31:26.091Z",
"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"shortName": "CISA-ADP"
},
"title": "CISA ADP Vulnrichment"
}
],
"cna": {
"affected": [
{
"product": "QR Code Attendance System",
"vendor": "SourceCodester",
"versions": [
{
"status": "affected",
"version": "1.0"
}
]
}
],
"credits": [
{
"lang": "en",
"type": "reporter",
"value": "jadu101 (VulDB User)"
}
],
"descriptions": [
{
"lang": "en",
"value": "A vulnerability, which was classified as problematic, has been found in SourceCodester QR Code Attendance System 1.0. This issue affects some unknown processing of the file /endpoint/delete-student.php. The manipulation of the argument student/attendance leads to cross site scripting. The attack may be initiated remotely. The exploit has been disclosed to the public and may be used."
},
{
"lang": "de",
"value": "Eine Schwachstelle wurde in SourceCodester QR Code Attendance System 1.0 entdeckt. Sie wurde als problematisch eingestuft. Es geht hierbei um eine nicht n\u00e4her spezifizierte Funktion der Datei /endpoint/delete-student.php. Dank Manipulation des Arguments student/attendance mit unbekannten Daten kann eine cross site scripting-Schwachstelle ausgenutzt werden. Der Angriff kann \u00fcber das Netzwerk angegangen werden. Der Exploit steht zur \u00f6ffentlichen Verf\u00fcgung."
}
],
"metrics": [
{
"cvssV4_0": {
"baseScore": 5.3,
"baseSeverity": "MEDIUM",
"vectorString": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:L/VA:N/SC:N/SI:N/SA:N",
"version": "4.0"
}
},
{
"cvssV3_1": {
"baseScore": 3.5,
"baseSeverity": "LOW",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:U/C:N/I:L/A:N",
"version": "3.1"
}
},
{
"cvssV3_0": {
"baseScore": 3.5,
"baseSeverity": "LOW",
"vectorString": "CVSS:3.0/AV:N/AC:L/PR:L/UI:R/S:U/C:N/I:L/A:N",
"version": "3.0"
}
},
{
"cvssV2_0": {
"baseScore": 4,
"vectorString": "AV:N/AC:L/Au:S/C:N/I:P/A:N",
"version": "2.0"
}
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-79",
"description": "CWE-79 Cross Site Scripting",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2024-08-26T16:00:06.972Z",
"orgId": "1af790b2-7ee1-4545-860a-a788eba489b5",
"shortName": "VulDB"
},
"references": [
{
"name": "VDB-275771 | SourceCodester QR Code Attendance System delete-student.php cross site scripting",
"tags": [
"vdb-entry",
"technical-description"
],
"url": "https://vuldb.com/?id.275771"
},
{
"name": "VDB-275771 | CTI Indicators (IOB, IOC, TTP, IOA)",
"tags": [
"signature",
"permissions-required"
],
"url": "https://vuldb.com/?ctiid.275771"
},
{
"name": "Submit #397724 | SourceCodester QR Code Attendance System 1.0 Cross Site Scripting",
"tags": [
"third-party-advisory"
],
"url": "https://vuldb.com/?submit.397724"
},
{
"tags": [
"related"
],
"url": "https://github.com/jadu101/CVE/blob/main/SourceCodester_QR_Code_Attendance_System_delete_student_XSS.md"
},
{
"tags": [
"broken-link",
"exploit"
],
"url": "https://github.com/jadu101/CVE/blob/main/SourceCodester_QR_Code_Attendance_System_delete_attendance_XSS.md"
},
{
"tags": [
"product"
],
"url": "https://www.sourcecodester.com/"
}
],
"timeline": [
{
"lang": "en",
"time": "2024-08-26T00:00:00.000Z",
"value": "Advisory disclosed"
},
{
"lang": "en",
"time": "2024-08-26T02:00:00.000Z",
"value": "VulDB entry created"
},
{
"lang": "en",
"time": "2024-08-26T09:49:28.000Z",
"value": "VulDB entry last update"
}
],
"title": "SourceCodester QR Code Attendance System delete-student.php cross site scripting"
}
},
"cveMetadata": {
"assignerOrgId": "1af790b2-7ee1-4545-860a-a788eba489b5",
"assignerShortName": "VulDB",
"cveId": "CVE-2024-8172",
"datePublished": "2024-08-26T16:00:06.972Z",
"dateReserved": "2024-08-26T07:44:17.553Z",
"dateUpdated": "2024-08-28T14:31:33.583Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.1"
}
}
}
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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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