Clustered 2 filings across 2 jurisdictions · filed Oct 30, 2023. View entity profile → Other incidents for this victim →
incident inc_c065507897fc463a · merge_method deterministic · confidence 100%
Discovered → first regulatory filing
Range of discovered_at dates across filings
Identity (basic) · Government ID
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
Aug 25, 2023 → Aug 27, 2023
When the intrusion reportedly occurred, per the linked filings
Oct 6, 2023
Reported by VERMONT AG, NEW HAMPSHIRE AG filings
Milford Management Corp. disclosed a data breach occurring August 25-27, 2023, involving unauthorized access to its servers. The incident may have exposed personal information including names and government IDs. The company secured systems, investigated, and offered one year of Equifax credit monitoring to affected individuals.
Milford Management Corp. notified individuals of a data security incident involving unauthorized access to its computer systems between August 25-27, 2023. The company identified files containing personal information, including Social Security Numbers and financial account data, on October 6, 2023. Affected individuals were offered one year of Equifax Complete Premier credit monitoring. The incident is contained, and the company is enhancing system security.
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.