Clustered 2 filings across 2 jurisdictions · filing window Apr 15, 2024 → Apr 16, 2024. View entity profile → Other incidents for this victim →
incident inc_cf135ad546aa42a9 · 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
IN VT
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
Dec 18, 2023
When the intrusion reportedly occurred, per the linked filings
Dec 18, 2023
Reported by VERMONT AG filing
The Mike Ferry Organization notified consumers of a cybersecurity incident on December 18, 2023, where an unauthorized party gained access to its network. The investigation revealed that names and Social Security Numbers may have been exposed. MFO engaged forensic investigators, secured the network, and is offering 12 months of credit monitoring services to affected individuals.
MIke Ferry Organization reported a data breach to the Indiana Attorney General. The breach occurred on 2023-12-18 and was reported on 2024-04-16. 3 Indiana residents were affected. 243 individuals affected in total.
Affected (this filing): 243
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.