Clustered 2 filings across 2 jurisdictions · filed Dec 8, 2025. View entity profile → Other incidents for this victim →
incident inc_2fc78da5468e4ca9 · 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.
PII
IN ME
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
Aug 18, 2025
When the intrusion reportedly occurred, per the linked filings
Oct 24, 2025
Reported by MAINE AG filing
Volume Transportation Inc reported a data breach to the Indiana Attorney General. The breach occurred on 2025-08-18 and was reported on 2025-12-08. 9 Indiana residents were affected. 2,911 individuals affected in total.
Affected (this filing): 2,911
Volume Transportation, Inc. reported a data breach to the Maine Attorney General, stating that an external system breach (hacking) occurred on August 18, 2025. The breach was discovered on October 24, 2025. The incident affected one Maine resident. The company began notifying affected individuals on December 8, 2025, and offered 12 months of credit monitoring services.
Affected (this filing): 1
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.