CVE-2020-35755 (GCVE-0-2020-35755)
Vulnerability from cvelistv5 – Published: 2021-05-03 20:46 – Updated: 2024-08-04 17:09
VLAI
EPSS
VEX
Summary
An issue was discovered on Libre Wireless LS9 LS1.5/p7040 devices. There is a luci_service Read_ NVRAM Direct Access Information Leak. The luci_service deamon running on port 7777 provides a sub-category of commands for which Read_ is prepended. Commands in this category are able to directly read the contents of the device configuration NVRAM. The NVRAM contains sensitive information, such as the Wi-Fi password (in cleartext), as well as connected account tokens for services such as Spotify.
Severity
7.5 (High)
CWE
- n/a
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://www.iot-inspector.com/blog/advisory-multi… | x_refsource_MISC |
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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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