CVE-2022-2297 (GCVE-0-2022-2297)
Vulnerability from cvelistv5 – Published: 2022-07-12 16:22 – Updated: 2025-04-15 14:07
VLAI
EPSS
VEX
Title
SourceCodester Clinics Patient Management System unrestricted upload
Summary
A vulnerability, which was classified as critical, was found in SourceCodester Clinics Patient Management System 2.0. Affected is an unknown function of the file /pms/update_user.php?user_id=1. The manipulation of the argument profile_picture with the input <?php phpinfo();?> leads to unrestricted upload. It is possible to launch the attack remotely. The exploit has been disclosed to the public and may be used.
Severity
6.3 (Medium)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-04-14 17:05 UTC
CWE
- CWE-434 - Unrestricted Upload
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/CyberThoth/CVE/blob/8c6b66919b… | x_refsource_MISC |
| https://vuldb.com/?id.203178 | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| SourceCodester | Clinics Patient Management System |
Affected:
2.0
|
guessed |
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"url": "https://github.com/CyberThoth/CVE/blob/8c6b66919be1bd66a54c16cc27cbdd9793221d3e/CVE/Clinic%27s%20Patient%20Management%20System/Unrestricted%20file%20upload%20%28RCE%29/POC.md"
},
{
"tags": [
"x_refsource_MISC"
],
"url": "https://vuldb.com/?id.203178"
}
],
"title": "SourceCodester Clinics Patient Management System unrestricted upload",
"x_generator": "vuldb.com",
"x_legacyV4Record": {
"CVE_data_meta": {
"ASSIGNER": "cna@vuldb.com",
"ID": "CVE-2022-2297",
"REQUESTER": "cna@vuldb.com",
"STATE": "PUBLIC",
"TITLE": "SourceCodester Clinics Patient Management System unrestricted upload"
},
"affects": {
"vendor": {
"vendor_data": [
{
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{
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"value": "A vulnerability, which was classified as critical, was found in SourceCodester Clinics Patient Management System 2.0. Affected is an unknown function of the file /pms/update_user.php?user_id=1. The manipulation of the argument profile_picture with the input \u003c?php phpinfo();?\u003e leads to unrestricted upload. It is possible to launch the attack remotely. The exploit has been disclosed to the public and may be used."
}
]
},
"generator": "vuldb.com",
"impact": {
"cvss": {
"baseScore": "6.3",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:L",
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},
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{
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"lang": "eng",
"value": "CWE-434 Unrestricted Upload"
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]
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},
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"name": "https://github.com/CyberThoth/CVE/blob/8c6b66919be1bd66a54c16cc27cbdd9793221d3e/CVE/Clinic\u0027s%20Patient%20Management%20System/Unrestricted%20file%20upload%20(RCE)/POC.md",
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},
{
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"refsource": "MISC",
"url": "https://vuldb.com/?id.203178"
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},
"cveMetadata": {
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"assignerShortName": "VulDB",
"cveId": "CVE-2022-2297",
"datePublished": "2022-07-12T16:22:14.000Z",
"dateReserved": "2022-07-04T00:00:00.000Z",
"dateUpdated": "2025-04-15T14:07:16.654Z",
"state": "PUBLISHED"
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"dataType": "CVE_RECORD",
"dataVersion": "5.1"
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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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