CVE-2026-15683 (GCVE-0-2026-15683)
Vulnerability from cvelistv5 – Published: 2026-07-13 21:30 – Updated: 2026-07-14 12:52
VLAI
EPSS
VEX
Title
Lorex 2K Indoor Wi-Fi Security Camera Device Management Server Improper Certificate Validation Vulnerability
Summary
Lorex 2K Indoor Wi-Fi Security Camera Device Management Server Improper Certificate Validation Vulnerability. This vulnerability allows network-adjacent attackers to execute arbitrary code on affected installations of Lorex 2K Indoor Wi-Fi Security Cameras. User interaction is not required to exploit this vulnerability.
The specific flaw exists within the device management functionality. The issue results from the lack of proper validation of the certificate presented by the server. An attacker can leverage this in conjunction with other vulnerabilities to execute code in the context of root. Was ZDI-CAN-26851.
Severity
7.5 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-07-14 12:51 UTC
CWE
- CWE-295 - Improper Certificate Validation
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://www.zerodayinitiative.com/advisories/ZDI-… | x_research-advisory |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Lorex | 2K Indoor Wi-Fi Security Camera |
Affected:
2.800.020000000.3.R.20220331
|
guessed |
Date Public
2026-07-13 21:30
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Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
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Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
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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.
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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.
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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.