Clustered 2 filings across 2 jurisdictions · filing window Feb 9, 2025 → Feb 11, 2025. View entity profile → Other incidents for this victim →
incident inc_3ad3b0c220ea4274 · 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 · PII
IN MD
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
Aug 7, 2024
When the intrusion reportedly occurred, per the linked filings
Aug 21, 2024
Reported by MARYLAND AG filing
Commercial Specialty Truck Holdings reported a data breach to the Indiana Attorney General. The breach occurred on 2024-08-07 and was reported on 2025-02-09. 4 Indiana residents were affected. 3,248 individuals affected in total.
Affected (this filing): 3,248
Commercial Specialty Truck Holdings notified Maryland AG of unauthorized access to files containing names, SSNs, and health insurance numbers for 2 Maryland residents. Incident occurred Aug 7, 2024; discovered Aug 21, 2024. Notification sent Feb 11, 2025. Remediation includes credit monitoring via Kroll and system security enhancements.
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.