CVE-2022-39946 (GCVE-0-2022-39946)
Vulnerability from cvelistv5 – Published: 2023-06-13 08:41 – Updated: 2024-10-22 20:46
VLAI
EPSS
VEX
Summary
An access control vulnerability [CWE-284] in FortiNAC version 9.4.2 and below, version 9.2.7 and below, 9.1 all versions, 8.8 all versions, 8.7 all versions, 8.6 all versions, 8.5 all versions may allow a remote attacker authenticated on the administrative interface to perform unauthorized jsp calls via crafted HTTP requests.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-10-22 20:18 UTC
CWE
- CWE-284 - Improper access control
Assigner
References
1 reference
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Fortinet | FortiNAC |
Affected:
9.4.0 , ≤ 9.4.1
(semver)
Affected: 9.2.0 , ≤ 9.2.6 (semver) Affected: 9.1.0 , ≤ 9.1.10 (semver) Affected: 8.8.0 , ≤ 8.8.11 (semver) Affected: 8.7.0 , ≤ 8.7.6 (semver) Affected: 8.6.0 , ≤ 8.6.5 (semver) Affected: 8.5.0 , ≤ 8.5.4 (semver) |
guessed |
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"cweId": "CWE-284",
"description": "Improper access control",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2023-06-13T08:41:41.234Z",
"orgId": "6abe59d8-c742-4dff-8ce8-9b0ca1073da8",
"shortName": "fortinet"
},
"references": [
{
"name": "https://fortiguard.com/psirt/FG-IR-22-332",
"url": "https://fortiguard.com/psirt/FG-IR-22-332"
}
],
"solutions": [
{
"lang": "en",
"value": "Please upgrade to FortiNAC-F version 7.2.0 or above\r\nPlease upgrade to FortiNAC version 9.4.3 or above\r\nPlease upgrade to FortiNAC version 9.2.8 or above\n\u00a0"
}
]
}
},
"cveMetadata": {
"assignerOrgId": "6abe59d8-c742-4dff-8ce8-9b0ca1073da8",
"assignerShortName": "fortinet",
"cveId": "CVE-2022-39946",
"datePublished": "2023-06-13T08:41:41.234Z",
"dateReserved": "2022-09-05T13:11:35.552Z",
"dateUpdated": "2024-10-22T20:46:16.560Z",
"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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