GSD-2021-35067
Vulnerability from gsd - Updated: 2023-12-13 01:23Details
Meross MSG100 devices before 3.2.3 allow an attacker to replay the same data or similar data (e.g., an attacker who sniffs a Close message can transmit an acceptable Open message).
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2021-35067",
"description": "Meross MSG100 devices before 3.2.3 allow an attacker to replay the same data or similar data (e.g., an attacker who sniffs a Close message can transmit an acceptable Open message).",
"id": "GSD-2021-35067"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2021-35067"
],
"details": "Meross MSG100 devices before 3.2.3 allow an attacker to replay the same data or similar data (e.g., an attacker who sniffs a Close message can transmit an acceptable Open message).",
"id": "GSD-2021-35067",
"modified": "2023-12-13T01:23:27.790653Z",
"schema_version": "1.4.0"
}
},
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"STATE": "PUBLIC"
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"affects": {
"vendor": {
"vendor_data": [
{
"product": {
"product_data": [
{
"product_name": "n/a",
"version": {
"version_data": [
{
"version_value": "n/a"
}
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}
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"problemtype": {
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},
"references": {
"reference_data": [
{
"name": "https://infosec.rm-it.de/?p=878\u0026preview=1\u0026_ppp=219bc85c2f",
"refsource": "MISC",
"url": "https://infosec.rm-it.de/?p=878\u0026preview=1\u0026_ppp=219bc85c2f"
},
{
"name": "https://infosec.rm-it.de/2021/06/18/meross-smart-wi-fi-garage-door-opener-analysis/",
"refsource": "MISC",
"url": "https://infosec.rm-it.de/2021/06/18/meross-smart-wi-fi-garage-door-opener-analysis/"
}
]
}
},
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"cpe23Uri": "cpe:2.3:o:meross:msg100_firmware:*:*:*:*:*:*:*:*",
"cpe_name": [],
"versionEndExcluding": "3.2.3",
"vulnerable": true
}
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"operator": "OR"
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}
]
},
"problemtype": {
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"value": "CWE-294"
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"references": {
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{
"name": "https://infosec.rm-it.de/?p=878\u0026preview=1\u0026_ppp=219bc85c2f",
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"url": "https://infosec.rm-it.de/?p=878\u0026preview=1\u0026_ppp=219bc85c2f"
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{
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}
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}
},
"impact": {
"baseMetricV2": {
"acInsufInfo": false,
"cvssV2": {
"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "SINGLE",
"availabilityImpact": "NONE",
"baseScore": 5.5,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:L/Au:S/C:P/I:P/A:N",
"version": "2.0"
},
"exploitabilityScore": 8.0,
"impactScore": 4.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "MEDIUM",
"userInteractionRequired": false
},
"baseMetricV3": {
"cvssV3": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 8.1,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:N",
"version": "3.1"
},
"exploitabilityScore": 2.8,
"impactScore": 5.2
}
},
"lastModifiedDate": "2021-10-18T15:52Z",
"publishedDate": "2021-10-07T15:15Z"
}
}
}
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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 |
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Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
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- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
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- 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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