CERTFR-2021-AVI-465
Vulnerability from certfr_avis - Published: 2021-06-16 - Updated: 2021-06-16
Une vulnérabilité a été découverte dans les produits Qnap. Elle permet à un attaquant de provoquer une atteinte à la confidentialité des données.
Solution
Se référer au bulletin de sécurité de l'éditeur pour l'obtention des correctifs (cf. section Documentation).
NoneImpacted products
References
| Title | Publication Time | Tags | |||
|---|---|---|---|---|---|
|
|||||
{
"$ref": "https://www.cert.ssi.gouv.fr/openapi.json",
"affected_systems": [
{
"description": "QTS versions ant\u00e9rieures \u00e0 4.5.3.1670 build 20210515",
"product": {
"name": "QTS",
"vendor": {
"name": "Qnap",
"scada": false
}
}
},
{
"description": "QuTS hero versions ant\u00e9rieures \u00e0 h4.5.3.1670 build 20210515",
"product": {
"name": "QuTS hero",
"vendor": {
"name": "Qnap",
"scada": false
}
}
},
{
"description": "QuTScloud versions ant\u00e9rieures \u00e0 c4.5.5.1656 build 20210503",
"product": {
"name": "N/A",
"vendor": {
"name": "Qnap",
"scada": false
}
}
}
],
"affected_systems_content": null,
"content": "## Solution\n\nSe r\u00e9f\u00e9rer au bulletin de s\u00e9curit\u00e9 de l\u0027\u00e9diteur pour l\u0027obtention des\ncorrectifs (cf. section Documentation).\n",
"cves": [
{
"name": "CVE-2021-20254",
"url": "https://www.cve.org/CVERecord?id=CVE-2021-20254"
}
],
"initial_release_date": "2021-06-16T00:00:00",
"last_revision_date": "2021-06-16T00:00:00",
"links": [],
"reference": "CERTFR-2021-AVI-465",
"revisions": [
{
"description": "Version initiale",
"revision_date": "2021-06-16T00:00:00.000000"
}
],
"risks": [
{
"description": "Atteinte \u00e0 la confidentialit\u00e9 des donn\u00e9es"
}
],
"summary": "Une vuln\u00e9rabilit\u00e9 a \u00e9t\u00e9 d\u00e9couverte dans les produits Qnap. Elle permet \u00e0\nun attaquant de provoquer une atteinte \u00e0 la confidentialit\u00e9 des donn\u00e9es.\n",
"title": "Vuln\u00e9rabilit\u00e9 dans les produits Qnap",
"vendor_advisories": [
{
"published_at": null,
"title": "Bulletin de s\u00e9curit\u00e9 Qnap qsa-21-27 du 16 juin 2021",
"url": "https://www.qnap.com/fr-fr/security-advisory/qsa-21-27"
}
]
}
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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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