VAR-201406-0156
Vulnerability from variot - Updated: 2025-04-13 23:32Multiple cross-site request forgery (CSRF) vulnerabilities in the Zyxel P-660HW-T1 (v3) wireless router allow remote attackers to hijack the authentication of administrators for requests that change the (1) wifi password or (2) SSID via a request to Forms/WLAN_General_1. The Zyxel P-660HW-T1 is a wireless router device. Zyxel P-660HW-T1 is prone to multiple cross-site request-forgery vulnerabilities. Exploiting these issues may allow a remote attacker to perform certain unauthorized actions. This may lead to further attacks. Zyxel P-660HW-T1 v3 is vulnerable; other versions may also be vulnerable
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- 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.
Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
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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.