FKIE_CVE-2025-69431
Vulnerability from fkie_nvd - Published: 2026-02-03 18:16 - Updated: 2026-06-17 10:00
Severity
Summary
The ZSPACE Q2C NAS contains a vulnerability related to incorrect symbolic link following. Attackers can format a USB drive to ext4, create a symbolic link to its root directory, insert the drive into the NAS device's slot, and then access the USB drive's directory mounted on the NAS using the Samba protocol. This allows them to obtain all files within the NAS system and tamper with those files.
References
| URL | Tags | ||
|---|---|---|---|
| cve@mitre.org | https://www.notion.so/ZSPACE-Incorrect-Symlink-Follow-2c26cf4e528a8087ba14d9b1d31a5bb2?source=copy_link | Exploit, Third Party Advisory |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| zspace | q2c_firmware | * | |
| zspace | q2c | - |
{
"affected": [
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"cveTags": [],
"descriptions": [
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"value": "The ZSPACE Q2C NAS contains a vulnerability related to incorrect symbolic link following. Attackers can format a USB drive to ext4, create a symbolic link to its root directory, insert the drive into the NAS device\u0027s slot, and then access the USB drive\u0027s directory mounted on the NAS using the Samba protocol. This allows them to obtain all files within the NAS system and tamper with those files."
},
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"lang": "es",
"value": "El NAS ZSPACE Q2C contiene una vulnerabilidad relacionada con el seguimiento incorrecto de enlaces simb\u00f3licos. Los atacantes pueden formatear una unidad USB a ext4, crear un enlace simb\u00f3lico a su directorio ra\u00edz, insertar la unidad en la ranura del dispositivo NAS y luego acceder al directorio de la unidad USB montado en el NAS utilizando el protocolo Samba. Esto les permite obtener todos los archivos dentro del sistema NAS y manipular esos archivos."
}
],
"id": "CVE-2025-69431",
"lastModified": "2026-06-17T10:00:42.130",
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"attackVector": "PHYSICAL",
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"baseScore": 6.1,
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"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
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"scope": "UNCHANGED",
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"timestamp": "2026-02-06T20:18:30.237724Z",
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}
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Sightings
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Nomenclature
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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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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.