CVE-2024-10412 (GCVE-0-2024-10412)
Vulnerability from cvelistv5 – Published: 2024-10-27 08:00 – Updated: 2024-10-28 17:17
VLAI
EPSS
VEX
Title
Poco-z Guns-Medical File Upload upload cross site scripting
Summary
A vulnerability was found in Poco-z Guns-Medical 1.0. It has been declared as problematic. Affected by this vulnerability is the function upload of the file /mgr/upload of the component File Upload. The manipulation of the argument picture leads to cross site scripting. The attack can be launched remotely.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-10-28 17:16 UTC
CWE
- CWE-79 - Cross Site Scripting
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://vuldb.com/?id.281941 | vdb-entrytechnical-description |
| https://vuldb.com/?ctiid.281941 | signaturepermissions-required |
| https://vuldb.com/?submit.427005 | third-party-advisory |
| https://github.com/Poco-z/Guns-Medical/issues/15 | exploitissue-tracking |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Poco-z | Guns-Medical |
Affected:
1.0
|
guessed |
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"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": "Cross Site Scripting",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2024-10-27T08:00:07.126Z",
"orgId": "1af790b2-7ee1-4545-860a-a788eba489b5",
"shortName": "VulDB"
},
"references": [
{
"name": "VDB-281941 | Poco-z Guns-Medical File Upload upload cross site scripting",
"tags": [
"vdb-entry",
"technical-description"
],
"url": "https://vuldb.com/?id.281941"
},
{
"name": "VDB-281941 | CTI Indicators (IOB, IOC, TTP, IOA)",
"tags": [
"signature",
"permissions-required"
],
"url": "https://vuldb.com/?ctiid.281941"
},
{
"name": "Submit #427005 | Guns-Medical 1.0 Arbitrary File Upload",
"tags": [
"third-party-advisory"
],
"url": "https://vuldb.com/?submit.427005"
},
{
"tags": [
"exploit",
"issue-tracking"
],
"url": "https://github.com/Poco-z/Guns-Medical/issues/15"
}
],
"timeline": [
{
"lang": "en",
"time": "2024-10-26T00:00:00.000Z",
"value": "Advisory disclosed"
},
{
"lang": "en",
"time": "2024-10-26T02:00:00.000Z",
"value": "VulDB entry created"
},
{
"lang": "en",
"time": "2024-10-26T09:34:05.000Z",
"value": "VulDB entry last update"
}
],
"title": "Poco-z Guns-Medical File Upload upload cross site scripting"
}
},
"cveMetadata": {
"assignerOrgId": "1af790b2-7ee1-4545-860a-a788eba489b5",
"assignerShortName": "VulDB",
"cveId": "CVE-2024-10412",
"datePublished": "2024-10-27T08:00:07.126Z",
"dateReserved": "2024-10-26T07:27:34.192Z",
"dateUpdated": "2024-10-28T17:17:05.730Z",
"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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