VAR-201711-0630
Vulnerability from variot - Updated: 2025-04-20 23:38Command Injection vulnerability in app_data_center on Shenzhen Tenda Ac9 US_AC9V1.0BR_V15.03.05.14_multi_TD01, Ac9 ac9_kf_V15.03.05.19(6318_)cn, Ac15 US_AC15V1.0BR_V15.03.05.18_multi_TD01, Ac15 US_AC15V1.0BR_V15.03.05.19_multi_TD01, Ac18 US_AC18V1.0BR_V15.03.05.05_multi_TD01, and Ac18 ac18_kf_V15.03.05.19(6318)cn devices allows remote unauthenticated attackers to execute arbitrary OS commands via a crafted cgi-bin/luci/usbeject?dev_name= GET request from the LAN. This occurs because the "sub_A6E8 usbeject_process_entry" function executes a system function with untrusted input. Shenzhen Tenda Ac9 , Ac15 ,and Ac18 The device contains a command injection vulnerability.Information is obtained, information is altered, and service operation is disrupted (DoS) There is a possibility of being put into a state. ShenzhenTendaAc9 and other are the wireless router products of Tenda. App_data_center is one of the application data centers. There is a command injection vulnerability in app_data_center in several ShenzhenTenda products. The following versions are affected: Shenzhen Tenda Ac9 US_AC9V1.0BR_V15.03.05.14_multi_TD01 Version, Ac9 ac9_kf_V15.03.05.19(6318)cn Version, Ac15 US_AC15V1.0BR_V15.03.05.18_multi_TD01 Version, Ac15 US_AC15V1.0BR_V15.03.05.19_multi_TD01 Version, Ac18 US_AC18V1.0BR_V15.03.05.05_multi_TD01 version, Ac18 ac18_kf_V15.03.05.19(6318)_cn devices version
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"data": "plural Shenzhen Tenda Command injection vulnerability in devices",
"sources": [
{
"db": "JVNDB",
"id": "JVNDB-2017-010774"
}
],
"trust": 0.8
},
"type": {
"@context": {
"@vocab": "https://www.variotdbs.pl/ref/type#",
"sources": {
"@container": "@list",
"@context": {
"@vocab": "https://www.variotdbs.pl/ref/sources#"
}
}
},
"data": "operating system commend injection",
"sources": [
{
"db": "CNNVD",
"id": "CNNVD-201711-888"
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],
"trust": 0.6
}
}
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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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