Clustered 2 filings across 2 jurisdictions · filed Apr 10, 2024. View entity profile → Other incidents for this victim →
incident inc_c9e98769a3a4421c · merge_method deterministic · confidence 100%
Discovered → first regulatory filing
Range of discovered_at dates across filings
Identity (basic)
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.
NH VT
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
Oct 2, 2023 → Oct 4, 2023
When the intrusion reportedly occurred, per the linked filings
Oct 5, 2023
Reported by VERMONT AG, NEW HAMPSHIRE AG filings
McKenzie County Healthcare Systems, Inc. notified consumers on April 10, 2024, of a breach affecting employee email accounts accessed between Oct 2-4, 2023. The incident likely involved phishing. Affected data includes names. The company offered credit monitoring and is reviewing security policies. No specific victim count was disclosed in the filing.
McKenzie County Healthcare Systems, Inc. notified New Hampshire residents of a phishing incident involving an employee email account. Unauthorized access occurred between October 2-4, 2023, discovered on October 5, 2023. One NH resident was notified on April 10, 2024. Affected data includes names, addresses, and government IDs. The organization provided credit monitoring via Experian and implemented additional security safeguards.
Affected (this filing): 1
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.