CVE-2021-20999 (GCVE-0-2021-20999)
Vulnerability from cvelistv5 – Published: 2021-05-13 13:45 – Updated: 2024-09-17 01:16
VLAI
EPSS
VEX
Title
WEIDMUELLER: Accidentally open network port in u-controls and IoT-Gateways
Summary
In Weidmüller u-controls and IoT-Gateways in versions up to 1.12.1 a network port intended only for device-internal usage is accidentally accessible via external network interfaces. By exploiting this vulnerability the device may be manipulated or the operation may be stopped.
Severity
9.4 (Critical)
CWE
- CWE-668 - Exposure of Resource to Wrong Sphere
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://cert.vde.com/en-us/advisories/vde-2021-016 | x_refsource_CONFIRM |
Impacted products
4 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Weidmüller | UC20-WL2000-AC (No. 1334950000) |
Affected:
1.3.0 , ≤ 1.9.0
(custom)
Affected: 1.10.0 , ≤ 1.10.2 (custom) Affected: 1.11.0 , ≤ 1.12.1 (custom) |
guessed | |
| Weidmüller | UC20-WL2000-IOT (No. 1334990000) |
Affected:
1.3.0 , ≤ 1.9.0
(custom)
Affected: 1.10.0 , ≤ 1.10.2 (custom) Affected: 1.11.0 , ≤ 1.12.1 (custom) |
guessed | |
| Weidmüller | IOT-GW30 (No. 2682620000) |
Affected:
1.3.0 , ≤ 1.9.0
(custom)
Affected: 1.10.0 , ≤ 1.10.2 (custom) Affected: 1.11.0 , ≤ 1.12.1 (custom) |
guessed | |
| Weidmüller | IOT-GW30-4G-EU (No. 2682630000) |
Affected:
1.3.0 , ≤ 1.9.0
(custom)
Affected: 1.10.0 , ≤ 1.10.2 (custom) Affected: 1.11.0 , ≤ 1.12.1 (custom) |
guessed |
Date Public
2021-05-04 00:00
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}
],
"source": "nvd@nist.gov",
"type": "Primary"
}
]
}
},
"redhat_vex": {
"current_release_date": "2026-03-27T14:59:11+00:00",
"cve": "CVE-2021-20999",
"id": "CVE-2021-20999",
"initial_release_date": "2021-05-04T00:00:00+00:00",
"product_status:known_not_affected": "1",
"source": "Red Hat CSAF VEX",
"status": "final",
"title": "WEIDMUELLER: Accidentally open network port in u-controls and IoT-Gateways",
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2021/cve-2021-20999.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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