Clustered 2 filings across 2 jurisdictions · filing window Jun 1, 2022 → Jun 6, 2022. View entity profile → Other incidents for this victim →
incident inc_9bda99e7d4e248e2 · 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
ME NH
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
Mar 14, 2022
When the intrusion reportedly occurred, per the linked filings
Mar 23, 2022
Reported by MAINE AG filing
Big M Transportation, Inc. experienced an external system breach on March 14, 2022, discovered on March 23, 2022. The incident compromised the names and Social Security numbers of 4,524 individuals. The company began notifying affected individuals on June 1, 2022, and offered 12 months of identity theft protection services through Experian.
Affected (this filing): 4,524
State of New Hampshire Attorney General breach notification filed by Big M Transportation, Inc. on June 6, 2022. The provided attachment content is empty; no specific breach details, dates, or data types are available for extraction.
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.