Clustered 2 filings across 1 jurisdiction · filing window Jan 12, 2026 → Jan 15, 2026. View entity profile → Other incidents for this victim →
incident inc_fde6ef7f7a044c4f · merge_method llm · confidence 100%
Discovered → first regulatory filing
Range of discovered_at dates across filings
PII
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.
ME
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
Mar 19, 2025 → Jun 1, 2025
When the intrusion reportedly occurred, per the linked filings
Jun 1, 2025
Reported by MAINE AG filing
Jul 29, 2025
Reported by MAINE AG filing
Central Maine Healthcare reported an external system breach (hacking) that impacted 138,800 Maine residents. The incident occurred between March 19, 2025, and June 1, 2025, and was discovered on July 29, 2025. The company offered one year of credit and dark web monitoring services through Transunion to those affected.
Affected (this filing): 138,800
Central Maine Healthcare, a healthcare organization based in Lewiston, ME, experienced an internal system breach on March 19, 2025, discovered on June 1, 2025. Approximately 145,000 Maine residents were affected. A substitute notice was issued on December 29, 2025. Credit monitoring services were offered to affected individuals. The specific data types and attack vector were not disclosed in the available notice.
Affected (this filing): 145,000
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.