FKIE_CVE-2025-46627
Vulnerability from fkie_nvd - Published: 2025-05-01 20:15 - Updated: 2026-06-17 09:26
Severity
Summary
Use of weak credentials in the Tenda RX2 Pro 16.03.30.14 allows an unauthenticated attacker to authenticate to the telnet service by calculating the root password based on easily-obtained device information. The password is based on the last two digits/octets of the MAC address.
References
| URL | Tags | ||
|---|---|---|---|
| cve@mitre.org | https://blog.uturn.dev/#/writeups/iot-village/tenda-rx2pro/README?id=cve-2025-46627-calculated-os-root-password | Exploit, Third Party Advisory | |
| cve@mitre.org | https://www.tendacn.com/us/default.html | Product |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| tenda | rx2_pro_firmware | 16.03.30.14 | |
| tenda | rx2_pro | - |
{
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"source": "cve@mitre.org"
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"descriptions": [
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"value": "Use of weak credentials in the Tenda RX2 Pro 16.03.30.14 allows an unauthenticated attacker to authenticate to the telnet service by calculating the root password based on easily-obtained device information. The password is based on the last two digits/octets of the MAC address."
},
{
"lang": "es",
"value": "El uso de credenciales d\u00e9biles en el Tenda RX2 Pro 16.03.30.14 permite a un atacante no autenticado autenticarse en el servicio Telnet calculando la contrase\u00f1a root a partir de informaci\u00f3n del dispositivo f\u00e1cilmente obtenible. La contrase\u00f1a se basa en los dos \u00faltimos d\u00edgitos/octetos de la direcci\u00f3n MAC."
}
],
"id": "CVE-2025-46627",
"lastModified": "2026-06-17T09:26:43.980",
"metrics": {
"cvssMetricV31": [
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"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 8.2,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "LOW",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
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"timestamp": "2025-05-02T15:14:32.156784Z",
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"published": "2025-05-01T20:15:38.350",
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}
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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.
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.
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.
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