Vulnerability-Lookup

VAR-202107-0021

Vulnerability from variot - Updated: 2024-08-14 14:03

The MagicMotion Flamingo 2 application for Android stores data on an sdcard under com.vt.magicmotion/files/Pictures, whence it can be read by other applications. MagicMotion Flamingo is a wearable vibrator produced by MagicMotion company in China. Attackers can use this vulnerability to make it read by other applications

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CVE-2020-12731 (GCVE-0-2020-12731)

Vulnerability from cvelistv5 – Published: 2021-07-15 14:55 – Updated: 2024-08-04 12:04

Summary

The MagicMotion Flamingo 2 application for Android stores data on an sdcard under com.vt.magicmotion/files/Pictures, whence it can be read by other applications.

Severity

No CVSS data available.

CWE

Assigner

mitre CNA under the mitre root

CNA scorecard E 28/100 over 2339 records in the last 180 days details

References

1 reference

URL	Tags
http://www.magicsmotion.com/p-flamingo.html	x_refsource_MISC

Show details on NVD website

JSON

To clipboard

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            "x_refsource_MISC"
          ],
          "url": "http://www.magicsmotion.com/p-flamingo.html"
        }
      ],
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    "datePublished": "2021-07-15T14:55:48.000Z",
    "dateReserved": "2020-05-08T00:00:00.000Z",
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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.

Vulnerability timeline

Sightings and recorded dates, grouped by day · UTC

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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.

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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