Clustered 2 filings across 2 jurisdictions · filing window Apr 1, 2026 → Apr 6, 2026. View entity profile → Other incidents for this victim →
incident inc_a46bb094711f4b50 · merge_method deterministic · confidence 100%
Discovered → first regulatory filing
Range of discovered_at dates across filings
PII · Financial
Time between earliest and latest filing
Not recorded for this incident
Leak precedence · Materiality delta · SEC filing delay — no leak-site claim in this cluster; no SEC 8-K in this cluster.
ME NH
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
Feb 3, 2026
When the intrusion reportedly occurred, per the linked filings
Feb 3, 2026
Reported by NEW HAMPSHIRE AG filing
Mar 9, 2026
Reported by MAINE AG filing
Town of Amherst (NH) reported potential data breach affecting W-2 forms containing names and SSNs. Incident discovered March 9, 2026. Investigation ongoing; no evidence of system compromise yet. One Maine resident affected. 12-month credit monitoring offered.
Affected (this filing): 1
Town of Amherst, NH, notified the NH Attorney General on April 6, 2026, of a potential security incident affecting approximately 260 residents. On or about February 3, 2026, employees experienced issues with tax filings. The Town secured its network and engaged cybersecurity experts. No evidence of system compromise was found, but W-2 forms (names, SSNs) may have been impacted. Notifications were sent on April 1, 2026, offering credit monitoring.
Affected (this filing): 260
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.