FKIE_CVE-2021-22783
Vulnerability from fkie_nvd - Published: 2022-03-09 23:15 - Updated: 2026-06-17 03:37
Severity
8.8 (High) - CVSS:3.1/AV:A/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
7.6 (High) - CVSS:3.1/AV:A/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:H
7.6 (High) - CVSS:3.1/
Summary
A CWE-200: Information Exposure vulnerability exists which could allow a session hijack when the door panel is communicating with the door. Affected Product: Ritto Wiser Door (All versions)
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| schneider-electric | ritto_wiser_door | * |
{
"affected": [
{
"affectedData": [
{
"product": "Ritto Wiser Door",
"vendor": "Schneider Electric",
"versions": [
{
"status": "affected",
"version": "All versions"
}
]
}
],
"source": "cybersecurity@se.com"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:schneider-electric:ritto_wiser_door:*:*:*:*:*:*:*:*",
"matchCriteriaId": "A6F4089D-EFA4-45FC-90AB-564213F87A08",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "A CWE-200: Information Exposure vulnerability exists which could allow a session hijack when the door panel is communicating with the door. Affected Product: Ritto Wiser Door (All versions)"
},
{
"lang": "es",
"value": "Una CWE-200: Se presenta una vulnerabilidad de Exposici\u00f3n de Informaci\u00f3n que podr\u00eda permitir un secuestro de sesi\u00f3n cuando el panel de la puerta se est\u00e1 comunicando con la puerta. Producto afectado: Ritto Wiser Door (Todas las versiones)"
}
],
"id": "CVE-2021-22783",
"lastModified": "2026-06-17T03:37:46.077",
"metrics": {
"cvssMetricV2": [
{
"acInsufInfo": false,
"baseSeverity": "MEDIUM",
"cvssData": {
"accessComplexity": "LOW",
"accessVector": "ADJACENT_NETWORK",
"authentication": "NONE",
"availabilityImpact": "NONE",
"baseScore": 4.8,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "PARTIAL",
"vectorString": "AV:A/AC:L/Au:N/C:P/I:P/A:N",
"version": "2.0"
},
"exploitabilityScore": 6.5,
"impactScore": 4.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"source": "nvd@nist.gov",
"type": "Primary",
"userInteractionRequired": false
}
],
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "ADJACENT_NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 8.8,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:A/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
"version": "3.1"
},
"exploitabilityScore": 2.8,
"impactScore": 5.9,
"source": "cybersecurity@se.com",
"type": "Secondary"
},
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "ADJACENT_NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 7.6,
"baseSeverity": "HIGH",
"confidentialityImpact": "LOW",
"integrityImpact": "LOW",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:A/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:H",
"version": "3.1"
},
"exploitabilityScore": 2.8,
"impactScore": 4.7,
"source": "nvd@nist.gov",
"type": "Primary"
}
]
},
"published": "2022-03-09T23:15:07.777",
"references": [
{
"source": "cybersecurity@se.com",
"tags": [
"Vendor Advisory"
],
"url": "https://download.schneider-electric.com/files?p_Doc_Ref=SEVD-2022-067-03"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Vendor Advisory"
],
"url": "https://download.schneider-electric.com/files?p_Doc_Ref=SEVD-2022-067-03"
}
],
"sourceIdentifier": "cybersecurity@se.com",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-200"
}
],
"source": "cybersecurity@se.com",
"type": "Secondary"
},
{
"description": [
{
"lang": "en",
"value": "NVD-CWE-noinfo"
}
],
"source": "nvd@nist.gov",
"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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