Clustered 2 filings across 2 jurisdictions · filed Mar 18, 2024. View entity profile → Other incidents for this victim →
incident inc_e6fa47e97d324977 · 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.
Identity (basic) · Government ID
NH VT
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
Jan 14, 2024 → Jan 18, 2024
When the intrusion reportedly occurred, per the linked filings
Jan 18, 2024
Reported by VERMONT AG filing
Weirton Medical Center notified New Hampshire and Rhode Island residents of a data security event affecting personal information. The organization notified federal law enforcement, HHS, and credit bureaus, and offered credit monitoring via Experian. The incident involved unauthorized access, likely via stolen credentials, resulting in the exposure of PII.
Affected (this filing): 2
Weirton Medical Center notified consumers of a data breach where an unknown actor accessed network systems between Jan 14-18, 2024. Patient information was accessed. The incident was reported to HHS and law enforcement. Credit monitoring offered. Rhode Island resident count explicitly stated as 2.
Affected (this filing): 2
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.