CVE-2026-9219 (GCVE-0-2026-9219)
Vulnerability from cvelistv5 – Published: 2026-06-25 23:10 – Updated: 2026-08-03 14:55
VLAI
EPSS
VEX
Title
Setracker2 Children's Smartwatch Ecosystem Generation of Predictable Numbers or Identifiers
Summary
Setracker2 Android Companion App com.tgelec.setracker versions 3.1.5 and prior have a predictable registration ID derived from IMEI. The enrollment system lacks additional authentication before assignment. If an attacker is able to obtain the registration ID, they would be able to arbitrarily enroll watches belonging to other users.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
- CWE-340 - Generation of Predictable Numbers or Identifiers
Assigner
References
1 reference
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| Shenzhen i365-Tech Co. Ltd. | Setracker2 Parental Control App (Android) package com.tgelec.setracker |
Affected:
0 , ≤ 3.1.5
(custom)
Unaffected: 3.4.1 |
Credits
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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.
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