FKIE_CVE-2022-30237
Vulnerability from fkie_nvd - Published: 2022-06-02 23:15 - Updated: 2026-06-17 04:43
Severity
8.2 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:L/A:N
7.5 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
7.5 (High) - CVSS:3.1/
Summary
A CWE-311: Missing Encryption of Sensitive Data vulnerability exists that could allow authentication credentials to be recovered when an attacker breaks the encoding. Affected Products: Wiser Smart, EER21000 & EER21001 (V4.5 and prior)
References
| URL | Tags | ||
|---|---|---|---|
| cybersecurity@se.com | https://www.se.com/ww/en/download/document/SEVD-2022-130-03/ | Mitigation, Vendor Advisory | |
| af854a3a-2127-422b-91ae-364da2661108 | https://www.se.com/ww/en/download/document/SEVD-2022-130-03/ | Mitigation, Vendor Advisory |
Impacted products
{
"affected": [
{
"affectedData": [
{
"product": "Wiser Smart",
"vendor": "Schneider Electric",
"versions": [
{
"lessThan": "4.5",
"status": "affected",
"version": "EER21000",
"versionType": "custom"
},
{
"lessThan": "4.5",
"status": "affected",
"version": "EER21001",
"versionType": "custom"
}
]
}
],
"source": "cybersecurity@se.com"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:o:schneider-electric:wiser_smart_eer21000_firmware:*:*:*:*:*:*:*:*",
"matchCriteriaId": "5FF54835-9F49-417D-985F-24799D9B93A0",
"versionEndIncluding": "4.5",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
},
{
"cpeMatch": [
{
"criteria": "cpe:2.3:h:schneider-electric:wiser_smart_eer21000:-:*:*:*:*:*:*:*",
"matchCriteriaId": "E5552670-EDA0-4C30-B292-2228FB418A38",
"vulnerable": false
}
],
"negate": false,
"operator": "OR"
}
],
"operator": "AND"
},
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:o:schneider-electric:wiser_smart_eer21001_firmware:*:*:*:*:*:*:*:*",
"matchCriteriaId": "B3E7CC55-F222-470E-AA71-DEECB4A971F6",
"versionEndIncluding": "4.5",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
},
{
"cpeMatch": [
{
"criteria": "cpe:2.3:h:schneider-electric:wiser_smart_eer21001:-:*:*:*:*:*:*:*",
"matchCriteriaId": "68D3AC8F-AA3E-4173-89FB-6F8EA59FA52B",
"vulnerable": false
}
],
"negate": false,
"operator": "OR"
}
],
"operator": "AND"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "A CWE-311: Missing Encryption of Sensitive Data vulnerability exists that could allow authentication credentials to be recovered when an attacker breaks the encoding. Affected Products: Wiser Smart, EER21000 \u0026 EER21001 (V4.5 and prior)"
},
{
"lang": "es",
"value": "Una CWE-311: Se presenta una vulnerabilidad de Falta de Encriptaci\u00f3n de Datos Confidenciales que podr\u00eda permitir recuperar las credenciales de autenticaci\u00f3n cuando un atacante rompe la codificaci\u00f3n. Productos afectados: Wiser Smart, EER21000 y EER21001 (versiones V4.5 y anteriores)"
}
],
"id": "CVE-2022-30237",
"lastModified": "2026-06-17T04:43:19.520",
"metrics": {
"cvssMetricV2": [
{
"acInsufInfo": false,
"baseSeverity": "MEDIUM",
"cvssData": {
"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "NONE",
"baseScore": 5.0,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "NONE",
"vectorString": "AV:N/AC:L/Au:N/C:P/I:N/A:N",
"version": "2.0"
},
"exploitabilityScore": 10.0,
"impactScore": 2.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"source": "nvd@nist.gov",
"type": "Primary",
"userInteractionRequired": false
}
],
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 8.2,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "LOW",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:L/A:N",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 4.2,
"source": "cybersecurity@se.com",
"type": "Secondary"
},
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 7.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 3.6,
"source": "nvd@nist.gov",
"type": "Primary"
}
]
},
"published": "2022-06-02T23:15:07.730",
"references": [
{
"source": "cybersecurity@se.com",
"tags": [
"Mitigation",
"Vendor Advisory"
],
"url": "https://www.se.com/ww/en/download/document/SEVD-2022-130-03/"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Mitigation",
"Vendor Advisory"
],
"url": "https://www.se.com/ww/en/download/document/SEVD-2022-130-03/"
}
],
"sourceIdentifier": "cybersecurity@se.com",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-311"
}
],
"source": "cybersecurity@se.com",
"type": "Secondary"
}
]
}
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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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