CVE-2025-11643 (GCVE-0-2025-11643)
Vulnerability from cvelistv5 – Published: 2025-10-12 19:32 – Updated: 2025-10-18 07:12
VLAI
EPSS
VEX
Title
Tomofun Furbo 360/Furbo Mini MQTT Client Certificate furbo_img hard-coded credentials
Summary
A security flaw has been discovered in Tomofun Furbo 360 and Furbo Mini. Affected by this vulnerability is an unknown functionality of the file /squashfs-root/furbo_img of the component MQTT Client Certificate. Performing manipulation results in hard-coded credentials. The attack may be initiated remotely. The attack's complexity is rated as high. The exploitation appears to be difficult. The firmware versions determined to be affected are Furbo 360 up to FB0035_FW_036 and Furbo Mini up to MC0020_FW_074. The vendor was contacted early about this disclosure but did not respond in any way.
Severity
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-10-14 14:05 UTC
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://vuldb.com/?id.328054 | vdb-entrytechnical-description |
| https://vuldb.com/?ctiid.328054 | signaturepermissions-required |
| https://vuldb.com/?submit.661875 | third-party-advisory |
Impacted products
2 products
| Vendor | Product | Version | |
|---|---|---|---|
| Tomofun | Furbo 360 |
Affected:
n/a
|
|
| Tomofun | Furbo Mini |
Affected:
n/a
|
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"value": "VulDB entry last update"
}
],
"title": "Tomofun Furbo 360/Furbo Mini MQTT Client Certificate furbo_img hard-coded credentials"
}
},
"cveMetadata": {
"assignerOrgId": "1af790b2-7ee1-4545-860a-a788eba489b5",
"assignerShortName": "VulDB",
"cveId": "CVE-2025-11643",
"datePublished": "2025-10-12T19:32:05.829Z",
"dateReserved": "2025-10-11T18:32:53.176Z",
"dateUpdated": "2025-10-18T07:12:43.081Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.1"
}
}
}
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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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