FKIE_CVE-2018-20377
Vulnerability from fkie_nvd - Published: 2018-12-23 18:29 - Updated: 2026-06-17 01:52
Severity
Summary
Orange Livebox 00.96.320S devices allow remote attackers to discover Wi-Fi credentials via /get_getnetworkconf.cgi on port 8080, leading to full control if the admin password equals the Wi-Fi password or has the default admin value. This is related to Firmware 01.11.2017-11:43:44, Boot v0.70.03, Modem 5.4.1.10.1.1A, Hardware 02, and Arcadyan ARV7519RW22-A-L T VR9 1.2.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| orange | arv7519rw22_livebox_2.1_firmware | 00.96.00.96.609es | |
| orange | arv7519rw22_livebox_2.1_firmware | 00.96.00.96.613 | |
| orange | arv7519rw22_livebox_2.1_firmware | 00.96.217 | |
| orange | arv7519rw22_livebox_2.1_firmware | 00.96.321s | |
| orange | arv7519rw22_livebox_2.1 | - |
{
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"vendor": "n/a",
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"version": "n/a"
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"source": "cve@mitre.org"
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"value": "Orange Livebox 00.96.320S devices allow remote attackers to discover Wi-Fi credentials via /get_getnetworkconf.cgi on port 8080, leading to full control if the admin password equals the Wi-Fi password or has the default admin value. This is related to Firmware 01.11.2017-11:43:44, Boot v0.70.03, Modem 5.4.1.10.1.1A, Hardware 02, and Arcadyan ARV7519RW22-A-L T VR9 1.2."
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"value": "Los dispositivos Orange Livebox 00.96.320S permiten que atacantes remotos descubran las credenciales wifi mediante /get_getnetworkconf.cgi en el puerto 8080, lo que conduce al control total si la contrase\u00f1a del administrador es igual a la contrase\u00f1a de la wifi o tiene el valor \"admin\" por defecto. Esto est\u00e1 relacionado con Firmware 01.11.2017-11:43:44, Boot v0.70.03, Modem 5.4.1.10.1.1A, Hardware 02 y Arcadyan ARV7519RW22-A-L T VR9 1.2."
}
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"id": "CVE-2018-20377",
"lastModified": "2026-06-17T01:52:43.897",
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"published": "2018-12-23T18:29:00.527",
"references": [
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"source": "cve@mitre.org",
"tags": [
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"url": "https://badpackets.net/over-19000-orange-livebox-adsl-modems-are-leaking-their-wifi-credentials/"
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}
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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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