VAR-201609-0047
Vulnerability from variot - Updated: 2025-04-12 23:24Multiple cross-site request forgery (CSRF) vulnerabilities in Huawei WS331a routers with software before WS331a-10 V100R001C01B112 allow remote attackers to hijack the authentication of administrators for requests that (1) restore factory settings or (2) reboot the device via unspecified vectors. HuaweiWS331a is a mini wireless router from China Huawei. Huawei WS331a is prone to a cross-site request-forgery vulnerability and a privilege escalation vulnerability. An attacker can exploit these issues to perform unauthorized actions in the context of a logged-in user of the affected application and gain elevated privileges. This may aid in other attacks. Huawei WS331a version WS331a-10 V100R001C02B017SP01 and earlier versions are affected. A remote attacker could exploit this vulnerability by submitting a specially crafted request to perform a factory reset or reboot the device
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"db": "CNNVD",
"id": "CNNVD-201609-125"
}
],
"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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