Hazen Paper Company reported a data breach to the Indiana Attorney General. The breach occurred on 2025-07-22 and was reported on 2025-09-03. 1 Indiana residents were affected. 285 individuals affected in total.
Affected (this filing): 285
Clustered 2 filings across 2 jurisdictions · filed Sep 3, 2025. View entity profile → Other incidents for this victim →
incident inc_ba4348d44c704764 · 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.
IN NH
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
Jul 22, 2025
When the intrusion reportedly occurred, per the linked filings
Jul 23, 2025
Reported by NEW HAMPSHIRE AG filing
Hazen Paper Company reported a data breach to the Indiana Attorney General. The breach occurred on 2025-07-22 and was reported on 2025-09-03. 1 Indiana residents were affected. 285 individuals affected in total.
Affected (this filing): 285
Hazen Paper Company notified the New Hampshire Attorney General of a data event affecting one NH resident. Unauthorized access occurred between July 22-23, 2025, resulting in the copying of employee names and Social Security numbers. Hazen took systems offline, engaged law enforcement, and is offering 24 months of credit monitoring.
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.