Vulnerability-Lookup

VAR-201906-0269

Vulnerability from variot - Updated: 2023-12-18 12:50

Xiaomi Mi 5s Plus devices allow attackers to trigger touchscreen anomalies via a radio signal between 198 kHz and 203 kHz, as demonstrated by a transmitter and antenna hidden just beneath the surface of a coffee-shop table, aka Ghost Touch. Xiaomi Mi 5s Plus Devices have vulnerabilities related to authorization, permissions, and access control.Information may be tampered with. Xiaomi Mi 5s Plus is a smartphone of China Xiaomi Technology (Xiaomi).

There is a security hole in Xiaomi Mi 5s Plus. Attackers can use the wireless signal between 198 kHz and 203 kHz to exploit this vulnerability to cause anomalies in the touch screen

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CVE-2019-12762 (GCVE-0-2019-12762)

Vulnerability from cvelistv5 – Published: 2019-06-06 19:45 – Updated: 2024-08-04 23:32

Summary

Severity

No CVSS data available.

CWE

Assigner

mitre CNA under the mitre root

CNA scorecard E 28/100 over 2324 records in the last 180 days details

References

2 references

URL	Tags
https://medium.com/%40juliodellaflora/ghost-touch…	x_refsource_MISC
https://hackercombat.com/nfc-vulnerability-may-pr…	x_refsource_MISC

Show details on NVD website

JSON

To clipboard

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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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