Clustered 2 filings across 2 jurisdictions · filing window Aug 26, 2022 → Aug 29, 2022. View entity profile → Other incidents for this victim →
incident inc_f53c469278bb4b1e · merge_method deterministic · confidence 100%
Discovered → first regulatory filing
Time between earliest and latest filing
Not recorded for this incident
Discovery variance · Leak precedence · Materiality delta · SEC filing delay — no leak-site claim in this cluster; no SEC 8-K in this cluster; needs two dated filings.
MT NH
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
May 20, 2022
When the intrusion reportedly occurred, per the linked filings
Jul 5, 2022
Reported by NEW HAMPSHIRE AG filing
Methodist McKinney Hospital reported a data breach to the Montana Attorney General. The breach was reported on 2022-08-26. The breach occurred from 5/20/2022 to 7/7/2022. 26 Montana residents were affected.
Affected (this filing): 26
Methodist McKinney Hospital notified the New Hampshire Attorney General of a ransomware incident affecting one NH resident. Unauthorized access occurred between May 20 and July 7, 2022, involving the Karakurt ransomware group. The hospital detected unusual activity on July 5, 2022, engaged third-party investigators, and encrypted/exfiltrated patient data including PHI and government IDs.
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.