CVE-2024-8555 (GCVE-0-2024-8555)
Vulnerability from cvelistv5 – Published: 2024-09-07 14:31 – Updated: 2024-09-09 15:13
VLAI
EPSS
VEX
Title
SourceCodester Clinics Patient Management System congratulations.php redirect
Summary
A vulnerability was found in SourceCodester Clinics Patient Management System 2.0. It has been classified as problematic. Affected is an unknown function of the file congratulations.php. The manipulation of the argument goto_page leads to open redirect. It is possible to launch the attack remotely. The exploit has been disclosed to the public and may be used.
Severity
4.3 (Medium)
4.3 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-09-09 15:13 UTC
CWE
- CWE-601 - Open Redirect
Assigner
References
5 references
| URL | Tags |
|---|---|
| https://vuldb.com/?id.276774 | vdb-entrytechnical-description |
| https://vuldb.com/?ctiid.276774 | signaturepermissions-required |
| https://vuldb.com/?submit.402386 | third-party-advisory |
| https://github.com/gurudattch/CVEs/blob/main/Sour… | exploit |
| https://www.sourcecodester.com/ | product |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| SourceCodester | Clinics Patient Management System |
Affected:
2.0
|
guessed |
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"lang": "de",
"value": "Es wurde eine problematische Schwachstelle in SourceCodester Clinics Patient Management System 2.0 ausgemacht. Betroffen hiervon ist ein unbekannter Ablauf der Datei congratulations.php. Durch die Manipulation des Arguments goto_page mit unbekannten Daten kann eine open redirect-Schwachstelle ausgenutzt werden. Umgesetzt werden kann der Angriff \u00fcber das Netzwerk. Der Exploit steht zur \u00f6ffentlichen Verf\u00fcgung."
}
],
"metrics": [
{
"cvssV4_0": {
"baseScore": 6.9,
"baseSeverity": "MEDIUM",
"vectorString": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:L/VA:N/SC:N/SI:N/SA:N",
"version": "4.0"
}
},
{
"cvssV3_1": {
"baseScore": 4.3,
"baseSeverity": "MEDIUM",
"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"
}
},
{
"cvssV2_0": {
"baseScore": 5,
"vectorString": "AV:N/AC:L/Au:N/C:N/I:P/A:N",
"version": "2.0"
}
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-601",
"description": "CWE-601 Open Redirect",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2024-09-07T14:31:04.341Z",
"orgId": "1af790b2-7ee1-4545-860a-a788eba489b5",
"shortName": "VulDB"
},
"references": [
{
"name": "VDB-276774 | SourceCodester Clinics Patient Management System congratulations.php redirect",
"tags": [
"vdb-entry",
"technical-description"
],
"url": "https://vuldb.com/?id.276774"
},
{
"name": "VDB-276774 | CTI Indicators (IOB, IOC, TTP, IOA)",
"tags": [
"signature",
"permissions-required"
],
"url": "https://vuldb.com/?ctiid.276774"
},
{
"name": "Submit #402386 | SourceCodester Clinics Patient Management System 2.0 Open Redirect",
"tags": [
"third-party-advisory"
],
"url": "https://vuldb.com/?submit.402386"
},
{
"tags": [
"exploit"
],
"url": "https://github.com/gurudattch/CVEs/blob/main/Sourcecodester-Clinic\u0027s-Patient-Management-System-Open-Redirect.md"
},
{
"tags": [
"product"
],
"url": "https://www.sourcecodester.com/"
}
],
"timeline": [
{
"lang": "en",
"time": "2024-09-06T00:00:00.000Z",
"value": "Advisory disclosed"
},
{
"lang": "en",
"time": "2024-09-06T02:00:00.000Z",
"value": "VulDB entry created"
},
{
"lang": "en",
"time": "2024-09-06T23:27:47.000Z",
"value": "VulDB entry last update"
}
],
"title": "SourceCodester Clinics Patient Management System congratulations.php redirect"
}
},
"cveMetadata": {
"assignerOrgId": "1af790b2-7ee1-4545-860a-a788eba489b5",
"assignerShortName": "VulDB",
"cveId": "CVE-2024-8555",
"datePublished": "2024-09-07T14:31:04.341Z",
"dateReserved": "2024-09-06T21:22:40.504Z",
"dateUpdated": "2024-09-09T15:13:49.072Z",
"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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