Vulnerability-Lookup

VAR-201711-0014

Vulnerability from variot - Updated: 2025-04-20 23:37

Pebble Smartwatch devices through 4.3 mishandle UUID storage, which allows attackers to read an arbitrary application's flash storage, and access an arbitrary application's JavaScript instance, by modifying a UUID value within the header of a crafted application binary. Pebble Smartwatch The device contains an information disclosure vulnerability.Information may be obtained and information may be altered. Pebble Smartwatch devices is a smart watch of Pebble Company in the United States

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CVE-2016-10702 (GCVE-0-2016-10702)

Vulnerability from cvelistv5 – Published: 2017-11-28 07:00 – Updated: 2024-08-06 03:30

Summary

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
https://blog.fletchto99.com/2016/november/pebble-…	x_refsource_MISC

Date Public

2017-11-28 00:00

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

Order JSON

Publication & reservation Sightings KEV catalogs Other timestamps

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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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