CVE-2021-43205 (GCVE-0-2021-43205)
Vulnerability from cvelistv5 – Published: 2022-04-06 09:15 – Updated: 2024-10-22 20:58
VLAI
EPSS
VEX
Summary
An exposure of sensitive information to an unauthorized actor vulnerability [CWE-200] in FortiClient for Linux version 7.0.2 and below, 6.4.7 and below and 6.2.9 and below may allow an unauthenticated attacker to access the confighandler webserver via external binaries.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-10-22 20:19 UTC
CWE
- Improper access control
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://fortiguard.com/psirt/FG-IR-21-226 | x_refsource_CONFIRM |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Fortinet | Fortinet FortiClientLinux |
Affected:
FortiClientLinux 7.0.2 and below, 6.4.7 and below, 6.2.9 and below
|
guessed |
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"value": "An exposure of sensitive information to an unauthorized actor vulnerability [CWE-200] in FortiClient for Linux version 7.0.2 and below, 6.4.7 and below and 6.2.9 and below may allow an unauthenticated attacker to access the confighandler webserver via external binaries."
}
]
},
"impact": {
"cvss": {
"attackComplexity": "Low",
"attackVector": "Adjacent",
"availabilityImpact": "None",
"baseScore": 4.2,
"baseSeverity": "Medium",
"confidentialityImpact": "Low",
"integrityImpact": "None",
"privilegesRequired": "None",
"scope": "Unchanged",
"userInteraction": "None",
"vectorString": "CVSS:3.1/AV:A/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N/E:X/RL:W/RC:C",
"version": "3.1"
}
},
"problemtype": {
"problemtype_data": [
{
"description": [
{
"lang": "eng",
"value": "Improper access control"
}
]
}
]
},
"references": {
"reference_data": [
{
"name": "https://fortiguard.com/psirt/FG-IR-21-226",
"refsource": "CONFIRM",
"url": "https://fortiguard.com/psirt/FG-IR-21-226"
}
]
}
}
}
},
"cveMetadata": {
"assignerOrgId": "6abe59d8-c742-4dff-8ce8-9b0ca1073da8",
"assignerShortName": "fortinet",
"cveId": "CVE-2021-43205",
"datePublished": "2022-04-06T09:15:36.000Z",
"dateReserved": "2021-11-02T00:00:00.000Z",
"dateUpdated": "2024-10-22T20:58:38.466Z",
"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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