Hematologics, Inc reported a data breach to the Montana Attorney General. The breach was reported on 2024-01-30. The breach occurred from 5/30/2023 to 5/31/2023. 1 Montana residents were affected.
Affected (this filing): 1
Clustered 2 filings across 2 jurisdictions · filing window Jan 30, 2024 → Feb 22, 2024. View entity profile → Other incidents for this victim →
incident inc_985286c7f73e4c6d · merge_method human · 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.
ME MT
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
May 30, 2023
When the intrusion reportedly occurred, per the linked filings
Dec 6, 2023
Reported by MAINE AG filing
Hematologics, Inc reported a data breach to the Montana Attorney General. The breach was reported on 2024-01-30. The breach occurred from 5/30/2023 to 5/31/2023. 1 Montana residents were affected.
Affected (this filing): 1
Hematologics, Inc. reported a data breach affecting one Maine resident, discovered on December 6, 2023. The breach, which occurred on May 31, 2023, was an external system hacking incident that exposed social security numbers. The company offered 12 months of complimentary identity theft protection services through Experian.
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.