CVE-2020-9057 (GCVE-0-2020-9057)
Vulnerability from cvelistv5 – Published: 2022-01-07 04:30 – Updated: 2024-09-16 20:03
VLAI
EPSS
VEX
Summary
Z-Wave devices based on Silicon Labs 100, 200, and 300 series chipsets do not support encryption, allowing an attacker within radio range to take control of or cause a denial of service to a vulnerable device. An attacker can also capture and replay Z-Wave traffic. Firmware upgrades cannot directly address this vulnerability as it is an issue with the Z-Wave specification for these legacy chipsets. One way to protect against this vulnerability is to use 500 or 700 series chipsets that support Security 2 (S2) encryption. As examples, the Linear WADWAZ-1 version 3.43 and WAPIRZ-1 version 3.43 (with 300 series chipsets) are vulnerable.
Severity
8.8 (High)
CWE
- CWE-311 - Missing Encryption of Sensitive Data
Assigner
References
5 references
| URL | Tags |
|---|---|
| https://kb.cert.org/vuls/id/142629 | third-party-advisoryx_refsource_CERT-VN |
| https://ieeexplore.ieee.org/document/9663293 | x_refsource_MISC |
| https://github.com/CNK2100/VFuzz-public | x_refsource_MISC |
| https://doi.org/10.1109/ACCESS.2021.3138768 | x_refsource_MISC |
| https://www.kb.cert.org/vuls/id/142629 | third-party-advisoryx_refsource_CERT-VN |
Impacted products
5 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Linear | WADWAZ-1 |
Affected:
3.43
|
guessed | |
| Linear | WAPIRZ-1 |
Affected:
3.43
|
guessed | |
| Silicon Labs | 100 series |
Affected:
all
|
guessed | |
| Silicon Labs | 200 series |
Affected:
all
|
guessed | |
| Silicon Labs | 300 series |
Affected:
all
|
guessed |
Date Public
2021-12-27 00:00
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"id": "CVE-2020-9057",
"lastModified": "2024-11-21T05:39:55.610",
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"redhat_vex": {
"current_release_date": "2026-02-24T01:43:55+00:00",
"cve": "CVE-2020-9057",
"id": "CVE-2020-9057",
"initial_release_date": "2020-01-01T00:00:00+00:00",
"product_status:known_not_affected": "1",
"source": "Red Hat CSAF VEX",
"status": "final",
"title": "CVE-2020-9057",
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2020/cve-2020-9057.json",
"version": "3"
}
}
}
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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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