GSD-2022-3714
Vulnerability from gsd - Updated: 2023-12-13 01:19Details
A vulnerability classified as critical has been found in SourceCodester Online Medicine Ordering System 1.0. Affected is an unknown function of the file admin/?page=orders/view_order. The manipulation of the argument id leads to sql injection. It is possible to launch the attack remotely. VDB-212346 is the identifier assigned to this vulnerability.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2022-3714",
"id": "GSD-2022-3714"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2022-3714"
],
"details": "A vulnerability classified as critical has been found in SourceCodester Online Medicine Ordering System 1.0. Affected is an unknown function of the file admin/?page=orders/view_order. The manipulation of the argument id leads to sql injection. It is possible to launch the attack remotely. VDB-212346 is the identifier assigned to this vulnerability.",
"id": "GSD-2022-3714",
"modified": "2023-12-13T01:19:40.167265Z",
"schema_version": "1.4.0"
}
},
"namespaces": {
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"CVE_data_meta": {
"ASSIGNER": "cna@vuldb.com",
"ID": "CVE-2022-3714",
"REQUESTER": "cna@vuldb.com",
"STATE": "PUBLIC",
"TITLE": "SourceCodester Online Medicine Ordering System sql injection"
},
"affects": {
"vendor": {
"vendor_data": [
{
"product": {
"product_data": [
{
"product_name": "Online Medicine Ordering System",
"version": {
"version_data": [
{
"version_value": "1.0"
}
]
}
}
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},
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}
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"data_format": "MITRE",
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"data_version": "4.0",
"description": {
"description_data": [
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"lang": "eng",
"value": "A vulnerability classified as critical has been found in SourceCodester Online Medicine Ordering System 1.0. Affected is an unknown function of the file admin/?page=orders/view_order. The manipulation of the argument id leads to sql injection. It is possible to launch the attack remotely. VDB-212346 is the identifier assigned to this vulnerability."
}
]
},
"generator": "vuldb.com",
"impact": {
"cvss": {
"baseScore": "5.0",
"vectorString": "CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:L/I:L/A:L",
"version": "3.1"
}
},
"problemtype": {
"problemtype_data": [
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"description": [
{
"lang": "eng",
"value": "CWE-707 Improper Neutralization -\u003e CWE-74 Injection -\u003e CWE-89 SQL Injection"
}
]
}
]
},
"references": {
"reference_data": [
{
"name": "https://vuldb.com/?id.212346",
"refsource": "MISC",
"url": "https://vuldb.com/?id.212346"
}
]
}
},
"nvd.nist.gov": {
"cve": {
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:oretnom23:online_medicine_ordering_system:1.0:*:*:*:*:*:*:*",
"matchCriteriaId": "5BA8DED5-CD2F-4667-A647-F56E5E0E5FC7",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
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],
"descriptions": [
{
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"value": "A vulnerability classified as critical has been found in SourceCodester Online Medicine Ordering System 1.0. Affected is an unknown function of the file admin/?page=orders/view_order. The manipulation of the argument id leads to sql injection. It is possible to launch the attack remotely. VDB-212346 is the identifier assigned to this vulnerability."
},
{
"lang": "es",
"value": "Una vulnerabilidad ha sido encontrada en SourceCodester Online Medicine Ordering System 1.0 y clasificada como cr\u00edtica. Una funci\u00f3n desconocida del archivo admin/?page=orders/view_order es afectada. La manipulaci\u00f3n del argumento id conduce a la inyecci\u00f3n de SQL. Es posible lanzar el ataque de forma remota. VDB-212346 es el identificador asignado a esta vulnerabilidad."
}
],
"id": "CVE-2022-3714",
"lastModified": "2023-12-28T19:06:23.727",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 9.8,
"baseSeverity": "CRITICAL",
"confidentialityImpact": "HIGH",
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"source": "nvd@nist.gov",
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"confidentialityImpact": "LOW",
"integrityImpact": "LOW",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:L/I:L/A:L",
"version": "3.1"
},
"exploitabilityScore": 1.6,
"impactScore": 3.4,
"source": "cna@vuldb.com",
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},
"published": "2022-10-27T10:15:10.903",
"references": [
{
"source": "cna@vuldb.com",
"tags": [
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"Third Party Advisory"
],
"url": "https://vuldb.com/?id.212346"
}
],
"sourceIdentifier": "cna@vuldb.com",
"vulnStatus": "Analyzed",
"weaknesses": [
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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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