CVE-2022-4564 (GCVE-0-2022-4564)
Vulnerability from cvelistv5 – Published: 2022-12-16 00:00 – Updated: 2025-04-15 13:02
VLAI
EPSS
VEX
Title
University of Central Florida Materia API Controller api.php before cross-site request forgery
Summary
A vulnerability classified as problematic has been found in University of Central Florida Materia up to 9.0.0. This affects the function before of the file fuel/app/classes/controller/api.php of the component API Controller. The manipulation leads to cross-site request forgery. It is possible to initiate the attack remotely. Upgrading to version 9.0.1-alpha1 is able to address this issue. The name of the patch is af259115d2e8f17068e61902151ee8a9dbac397b. It is recommended to upgrade the affected component. The identifier VDB-215973 was assigned to this vulnerability.
Severity
4.3 (Medium)
4.3 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-04-14 17:03 UTC
CWE
- CWE-352 - Cross-Site Request Forgery
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://vuldb.com/?id.215973 | technical-descriptionvdb-entry |
| https://github.com/ucfopen/Materia/pull/1371 | related |
| https://github.com/ucfopen/Materia/commit/af25911… | mitigationpatch |
| https://github.com/ucfopen/Materia/releases/tag/v… | mitigation |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| University of Central Florida | Materia |
Affected:
9.0
|
guessed |
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"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:L/A:N",
"version": "3.1"
}
},
{
"cvssV3_0": {
"baseScore": 4.3,
"baseSeverity": "MEDIUM",
"vectorString": "CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:L/A:N",
"version": "3.0"
}
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-352",
"description": "CWE-352 Cross-Site Request Forgery",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2022-12-24T21:18:17.806Z",
"orgId": "1af790b2-7ee1-4545-860a-a788eba489b5",
"shortName": "VulDB"
},
"references": [
{
"tags": [
"technical-description",
"vdb-entry"
],
"url": "https://vuldb.com/?id.215973"
},
{
"tags": [
"related"
],
"url": "https://github.com/ucfopen/Materia/pull/1371"
},
{
"tags": [
"mitigation",
"patch"
],
"url": "https://github.com/ucfopen/Materia/commit/af259115d2e8f17068e61902151ee8a9dbac397b"
},
{
"tags": [
"mitigation"
],
"url": "https://github.com/ucfopen/Materia/releases/tag/v9.0.1-alpha1"
}
],
"timeline": [
{
"lang": "en",
"time": "2022-12-16T00:00:00.000Z",
"value": "Advisory disclosed"
},
{
"lang": "en",
"time": "2022-12-16T01:00:00.000Z",
"value": "VulDB entry created"
},
{
"lang": "en",
"time": "2022-12-24T17:42:26.000Z",
"value": "VulDB last update"
}
],
"title": "University of Central Florida Materia API Controller api.php before cross-site request forgery"
}
},
"cveMetadata": {
"assignerOrgId": "1af790b2-7ee1-4545-860a-a788eba489b5",
"assignerShortName": "VulDB",
"cveId": "CVE-2022-4564",
"datePublished": "2022-12-16T00:00:00.000Z",
"dateReserved": "2022-12-16T00:00:00.000Z",
"dateUpdated": "2025-04-15T13:02:19.690Z",
"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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