GSD-2022-0138
Vulnerability from gsd - Updated: 2023-12-13 01:19Details
MMP: All versions prior to v1.0.3, PTP C-series: Device versions prior to v2.8.6.1, and PTMP C-series and A5x: Device versions prior to v2.5.4.1 has a deserialization function that does not validate or check the data, allowing arbitrary classes to be created.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2022-0138",
"description": "MMP: All versions prior to v1.0.3, PTP C-series: Device versions prior to v2.8.6.1, and PTMP C-series and A5x: Device versions prior to v2.5.4.1 has a deserialization function that does not validate or check the data, allowing arbitrary classes to be created.",
"id": "GSD-2022-0138"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
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],
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"id": "GSD-2022-0138",
"modified": "2023-12-13T01:19:11.274862Z",
"schema_version": "1.4.0"
}
},
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"DATE_PUBLIC": "2022-02-03T17:50:00.000Z",
"ID": "CVE-2022-0138",
"STATE": "PUBLIC",
"TITLE": "Airspan Networks Mimosa Deserialization of Untrusted Data"
},
"affects": {
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}
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"value": "Noam Moshe of Claroty reported these vulnerabilities to CISA."
}
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}
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"impact": {
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"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 7.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "NONE",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:H/A:N",
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"value": "CWE-502 Deserialization of Untrusted Data"
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"name": "https://www.cisa.gov/uscert/ics/advisories/icsa-22-034-02",
"refsource": "MISC",
"url": "https://www.cisa.gov/uscert/ics/advisories/icsa-22-034-02"
}
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},
"solution": [
{
"lang": "eng",
"value": "Airspan Networks recommends users update to following products (Login Required):\n\nMMP: Version 1.0.4 or later\nPTP:\nC5x: Version 2.90 or later\nC5c: Version 2.90 or later\nPTMP: \nC-series: Version 2.9.0 or later\nA5x: Version 2.9.0 or later"
}
],
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"discovery": "UNKNOWN"
}
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"authentication": "NONE",
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},
"lastModifiedDate": "2022-02-26T03:37Z",
"publishedDate": "2022-02-18T18:15Z"
}
}
}
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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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