GSD-2023-47537
Vulnerability from gsd - Updated: 2023-12-13 01:20Details
An improper certificate validation vulnerability in Fortinet FortiOS 7.0.0 - 7.0.13, 7.2.0 - 7.2.6 and 7.4.0 - 7.4.1 allows a remote and unauthenticated attacker to perform a Man-in-the-Middle attack on the FortiLink communication channel between the FortiOS device and FortiSwitch.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2023-47537",
"id": "GSD-2023-47537"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2023-47537"
],
"details": "An improper certificate validation vulnerability in Fortinet FortiOS 7.0.0 - 7.0.13, 7.2.0 - 7.2.6 and 7.4.0 - 7.4.1 allows a remote and unauthenticated attacker to perform a Man-in-the-Middle attack on the FortiLink communication channel between the FortiOS device and FortiSwitch.",
"id": "GSD-2023-47537",
"modified": "2023-12-13T01:20:51.832845Z",
"schema_version": "1.4.0"
}
},
"namespaces": {
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"ASSIGNER": "psirt@fortinet.com",
"ID": "CVE-2023-47537",
"STATE": "PUBLIC"
},
"affects": {
"vendor": {
"vendor_data": [
{
"product": {
"product_data": [
{
"product_name": "FortiOS",
"version": {
"version_data": [
{
"version_affected": "\u003c=",
"version_name": "7.4.0",
"version_value": "7.4.1"
},
{
"version_affected": "\u003c=",
"version_name": "7.2.0",
"version_value": "7.2.6"
},
{
"version_affected": "\u003c=",
"version_name": "7.0.0",
"version_value": "7.0.14"
}
]
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}
]
},
"vendor_name": "Fortinet"
}
]
}
},
"data_format": "MITRE",
"data_type": "CVE",
"data_version": "4.0",
"description": {
"description_data": [
{
"lang": "eng",
"value": "An improper certificate validation vulnerability in Fortinet FortiOS 7.0.0 - 7.0.13, 7.2.0 - 7.2.6 and 7.4.0 - 7.4.1 allows a remote and unauthenticated attacker to perform a Man-in-the-Middle attack on the FortiLink communication channel between the FortiOS device and FortiSwitch."
}
]
},
"impact": {
"cvss": [
{
"attackComplexity": "HIGH",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 4.4,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "LOW",
"integrityImpact": "LOW",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:L/A:N/E:U/RL:X/RC:X",
"version": "3.1"
}
]
},
"problemtype": {
"problemtype_data": [
{
"description": [
{
"cweId": "CWE-295",
"lang": "eng",
"value": "Information disclosure"
}
]
}
]
},
"references": {
"reference_data": [
{
"name": "https://fortiguard.com/psirt/FG-IR-23-301",
"refsource": "MISC",
"url": "https://fortiguard.com/psirt/FG-IR-23-301"
}
]
},
"solution": [
{
"lang": "en",
"value": "Please upgrade to FortiOS version 7.4.2 or above \nPlease upgrade to FortiOS version 7.2.7 or above \n"
}
]
},
"nvd.nist.gov": {
"cve": {
"configurations": [
{
"nodes": [
{
"cpeMatch": [
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"criteria": "cpe:2.3:o:fortinet:fortios:*:*:*:*:*:*:*:*",
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"versionEndExcluding": "7.0.14",
"versionStartIncluding": "7.0.0",
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"descriptions": [
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"value": "An improper certificate validation vulnerability in Fortinet FortiOS 7.0.0 - 7.0.13, 7.2.0 - 7.2.6 and 7.4.0 - 7.4.1 allows a remote and unauthenticated attacker to perform a Man-in-the-Middle attack on the FortiLink communication channel between the FortiOS device and FortiSwitch."
},
{
"lang": "es",
"value": "Una vulnerabilidad de validaci\u00f3n de certificado incorrecta en Fortinet FortiOS 7.0.0 - 7.0.13, 7.2.0 - 7.2.6 y 7.4.0 - 7.4.1 permite que un atacante remoto y no autenticado realice un ataque Man-in-the-Middle en el Canal de comunicaci\u00f3n FortiLink entre el dispositivo FortiOS y FortiSwitch."
}
],
"id": "CVE-2023-47537",
"lastModified": "2024-02-22T15:26:01.937",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "HIGH",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 4.8,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "LOW",
"integrityImpact": "LOW",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:L/A:N",
"version": "3.1"
},
"exploitabilityScore": 2.2,
"impactScore": 2.5,
"source": "nvd@nist.gov",
"type": "Primary"
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{
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"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 4.8,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "LOW",
"integrityImpact": "LOW",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:L/A:N",
"version": "3.1"
},
"exploitabilityScore": 2.2,
"impactScore": 2.5,
"source": "psirt@fortinet.com",
"type": "Secondary"
}
]
},
"published": "2024-02-15T14:15:45.240",
"references": [
{
"source": "psirt@fortinet.com",
"tags": [
"Vendor Advisory"
],
"url": "https://fortiguard.com/psirt/FG-IR-23-301"
}
],
"sourceIdentifier": "psirt@fortinet.com",
"vulnStatus": "Analyzed",
"weaknesses": [
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"description": [
{
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"value": "CWE-295"
}
],
"source": "psirt@fortinet.com",
"type": "Primary"
}
]
}
}
}
}
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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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