Clustered 2 filings across 2 jurisdictions · filed Oct 27, 2025. View entity profile → Other incidents for this victim →
incident inc_8388d075f0eb4ef4 · merge_method deterministic · confidence 100%
Discovered → first regulatory filing
Range of discovered_at dates across filings
ME NH
Time between earliest and latest filing
Not recorded for this incident
Leak precedence · Materiality delta · SEC filing delay — no leak-site claim in this cluster; no SEC 8-K in this cluster.
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
Oct 8, 2025
When the intrusion reportedly occurred, per the linked filings
Oct 8, 2025
Reported by NEW HAMPSHIRE AG filing
Oct 10, 2025
Reported by MAINE AG filing
Madeira USA LLC reported a data breach affecting one Maine resident. The breach, which occurred on October 8, 2025, and was discovered on October 10, 2025, was described as an external system breach or hacking incident. The company notified the affected individual on October 27, 2025, and offered one year of complimentary credit monitoring and identity theft restoration services.
Affected (this filing): 1
Madeira USA LLC notified the New Hampshire Attorney General of a cybersecurity incident on October 27, 2025. Unauthorized access occurred on October 8, 2025, affecting 101 NH residents. Compromised data included names, SSNs, passport numbers, driver's license numbers, and medical information. The company contained the breach, notified law enforcement, and provided one year of credit monitoring to affected individuals.
Affected (this filing): 101
About this clustering
DisclosureLens links filings into incidents through layered matchers: deterministic rules (same source document, multistate filings of one breach, tight-window same-victim pairs), a weighted-similarity scorer for cross-source candidates, and an operator review queue for everything uncertain. Each link records its own method and confidence — shown per filing in the timeline below. The system defaults to NOT merging when uncertain, because a false merge (collapsing two unrelated breaches) is more harmful than a false split (showing related filings separately); uncertain pairs route to human review instead of auto-merging. Filing summaries shown in the timeline are AI-generated extracts — verify each against its linked source.