Vulnerability-Lookup

VAR-201909-0865

Vulnerability from variot - Updated: 2024-11-23 22:44

An exploitable authentication bypass vulnerability exists in the Bluetooth Low Energy (BLE) authentication module of YI M1 Mirrorless Camera V3.2-cn. An attacker can send a set of BLE commands to trigger this vulnerability, resulting in sensitive data leakage (e.g., personal photos). An attacker can also control the camera to record or take a picture after bypassing authentication. Xiaoyi micro single camera M1 is a micro single camera with built-in Bluetooth and wireless functions that can transfer photos to mobile phones. YI Technology M1 Mirrorless Camera is a digital camera produced by China YI Technology Company

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CVE-2019-13953 (GCVE-0-2019-13953)

Vulnerability from cvelistv5 – Published: 2019-09-06 15:50 – Updated: 2024-08-05 00:05

Summary

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

1 reference

URL	Tags
https://www.cnvd.org.cn/flaw/show/CNVD-2019-23494	x_refsource_MISC

Show details on NVD website

JSON

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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.

Detection rules are retrieved from Rulezet.

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.

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.