Clustered 2 filings across 2 jurisdictions · filed Aug 18, 2025. View entity profile → Other incidents for this victim →
incident inc_63e8f7096eff40a6 · 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.
Government ID · PII
CA IN
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
Jul 8, 2025
When the intrusion reportedly occurred, per the linked filings
Jul 14, 2025
Reported by CALIFORNIA AG filing
Apex Class Action, LLC notified consumers that their personal information, potentially including Social Security numbers, was accessed without authorization via a third-party vendor, IMDataCenter. The company was alerted to the incident on July 14, 2025, and confirmed involvement on July 25, 2025. The breach did not involve Apex's own network. Complimentary identity protection services are being offered.
Apex Class Action LLC reported a data breach to the Indiana Attorney General. The breach occurred on 2025-07-08 and was reported on 2025-08-18. 2 Indiana residents were affected. 6,630 individuals affected in total.
Affected (this filing): 6,630
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.