Clustered 2 filings across 2 jurisdictions · filing window Mar 29, 2023 → Apr 3, 2023. View entity profile → Other incidents for this victim →
incident inc_0b704c09903d4c37 · 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.
MT NH
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
Feb 1, 2023
When the intrusion reportedly occurred, per the linked filings
Feb 1, 2023
Reported by NEW HAMPSHIRE AG filing
Smead Manufacturing reported a data breach to the Montana Attorney General. The breach was reported on 2023-03-29. The breach occurred from 2/1/2023 to 2/7/2023. 1 Montana residents were affected.
Affected (this filing): 1
Smead Manufacturing notified the NH AG of unauthorized access to an employee email account between Feb 1-7, 2023. The breach likely resulted from phishing, compromising credentials. Affected data included former and current employee information. One NH resident was identified. Smead secured the account, investigated, and offered 2 years of credit monitoring via Experian.
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.