VAR-202205-0085
Vulnerability from variot - Updated: 2023-12-18 12:15An improper certificate validation vulnerability [CWE-295] in FortiOS 6.0.0 through 6.0.14, 6.2.0 through 6.2.10, 6.4.0 through 6.4.8, 7.0.0 may allow a network adjacent and unauthenticated attacker to man-in-the-middle the communication between the FortiGate and some peers such as private SDNs and external cloud platforms. FortiOS Exists in a certificate validation vulnerability.Information may be obtained. Fortinet FortiOS is a set of security operating system dedicated to the FortiGate network security platform developed by Fortinet. The system provides users with various security functions such as firewall, anti-virus, IPSec/SSLVPN, Web content filtering and anti-spam
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"data": "FortiOS\u00a0 Certificate validation vulnerabilities in",
"sources": [
{
"db": "JVNDB",
"id": "JVNDB-2022-011183"
}
],
"trust": 0.8
},
"type": {
"@context": {
"@vocab": "https://www.variotdbs.pl/ref/type#",
"sources": {
"@container": "@list",
"@context": {
"@vocab": "https://www.variotdbs.pl/ref/sources#"
}
}
},
"data": "trust management problem",
"sources": [
{
"db": "CNNVD",
"id": "CNNVD-202205-1940"
}
],
"trust": 0.6
}
}
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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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