Clustered 2 filings across 2 jurisdictions · filed Dec 4, 2023. View entity profile → Other incidents for this victim →
incident inc_ccd90655aa744f75 · 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 · Financial account
CA MT
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
Nov 16, 2022 → Nov 19, 2022
When the intrusion reportedly occurred, per the linked filings
Nov 19, 2022
Reported by CALIFORNIA AG filing
4 Over LLC notified California residents of unauthorized access to systems between Nov 16-19, 2022. Affected data included names, SSNs, bank account numbers, and health insurance information. 2,790 California residents were notified on Dec 4, 2023. The company engaged forensic specialists, notified law enforcement, and is providing 24 months of credit monitoring.
Affected (this filing): 2,790
4 Over, LLC reported a data breach to the Montana Attorney General. The breach was reported on 2023-12-04. The breach occurred from 11/16/2022 to 11/19/2022. 2 Montana residents were affected.
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.