GSD-2021-28801
Vulnerability from gsd - Updated: 2023-12-13 01:23Details
An out-of-bounds read vulnerability has been reported to affect certain QNAP switches running QSS. If exploited, this vulnerability allows attackers to read sensitive information on the system. This issue affects: QNAP Systems Inc. QSS versions prior to 1.0.2 build 20210122 on QSW-M2108-2C; versions prior to 1.0.2 build 20210122 on QSW-M2108-2S; versions prior to 1.0.2 build 20210122 on QSW-M2108R-2C.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2021-28801",
"description": "An out-of-bounds read vulnerability has been reported to affect certain QNAP switches running QSS. If exploited, this vulnerability allows attackers to read sensitive information on the system. This issue affects: QNAP Systems Inc. QSS versions prior to 1.0.2 build 20210122 on QSW-M2108-2C; versions prior to 1.0.2 build 20210122 on QSW-M2108-2S; versions prior to 1.0.2 build 20210122 on QSW-M2108R-2C.",
"id": "GSD-2021-28801"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
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"id": "GSD-2021-28801",
"modified": "2023-12-13T01:23:28.962452Z",
"schema_version": "1.4.0"
}
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"DATE_PUBLIC": "2021-06-11T06:01:00.000Z",
"ID": "CVE-2021-28801",
"STATE": "PUBLIC",
"TITLE": "Out-of-Bounds Read Vulnerability in QSS"
},
"affects": {
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"value": "Qian Chen from Codesafe Team of Legendsec at Qi\u0027anxin Group"
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"baseScore": 3.1,
"baseSeverity": "LOW",
"confidentialityImpact": "LOW",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
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"solution": [
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"value": "QNAP have already fixed this vulnerability in the following versions:\n\nQSW-M2108-2C: QSS 1.0.2 build 20210122 and later\nQSW-M2108-2S: QSS 1.0.2 build 20210122 and later\nQSW-M2108R-2C: QSS 1.0.2 build 20210122 and later"
}
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"lastModifiedDate": "2021-06-23T14:24Z",
"publishedDate": "2021-06-11T07:15Z"
}
}
}
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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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