CVE-2022-23442 (GCVE-0-2022-23442)
Vulnerability from cvelistv5 – Published: 2022-08-03 13:20 – Updated: 2024-10-22 20:55
VLAI
EPSS
VEX
Summary
An improper access control vulnerability [CWE-284] in FortiOS versions 6.2.0 through 6.2.11, 6.4.0 through 6.4.8 and 7.0.0 through 7.0.5 may allow an authenticated attacker with a restricted user profile to gather the checksum information about the other VDOMs via CLI commands.
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-22-036 | x_refsource_CONFIRM |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Fortinet | Fortinet FortiOS |
Affected:
FortiOS 7.0.5, 7.0.4, 7.0.3, 7.0.2, 7.0.1, 7.0.0, 6.4.8, 6.4.7, 6.4.6, 6.4.5, 6.4.4, 6.4.3, 6.4.2, 6.4.1, 6.4.0, 6.2.11, 6.2.10, 6.2.9, 6.2.8, 6.2.7, 6.2.6, 6.2.5, 6.2.4, 6.2.3, 6.2.2, 6.2.1, 6.2.0
|
guessed |
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"baseSeverity": "Medium",
"confidentialityImpact": "Low",
"integrityImpact": "None",
"privilegesRequired": "Low",
"scope": "Unchanged",
"userInteraction": "None",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N/E:X/RL:X/RC:X",
"version": "3.1"
}
},
"problemtype": {
"problemtype_data": [
{
"description": [
{
"lang": "eng",
"value": "Improper access control"
}
]
}
]
},
"references": {
"reference_data": [
{
"name": "https://fortiguard.com/psirt/FG-IR-22-036",
"refsource": "CONFIRM",
"url": "https://fortiguard.com/psirt/FG-IR-22-036"
}
]
}
}
}
},
"cveMetadata": {
"assignerOrgId": "6abe59d8-c742-4dff-8ce8-9b0ca1073da8",
"assignerShortName": "fortinet",
"cveId": "CVE-2022-23442",
"datePublished": "2022-08-03T13:20:27.000Z",
"dateReserved": "2022-01-19T00:00:00.000Z",
"dateUpdated": "2024-10-22T20:55:03.742Z",
"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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