Clustered 2 filings across 2 jurisdictions · filed Feb 14, 2023. View entity profile → Other incidents for this victim →
incident inc_c387f93e2f334f3b · merge_method deterministic · confidence 100%
Discovered → first regulatory filing
Range of discovered_at dates across filings
Government ID · PII
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
Aug 29, 2022
When the intrusion reportedly occurred, per the linked filings
Aug 30, 2022
Reported by NEW HAMPSHIRE AG filing
Sep 7, 2022
Reported by MAINE AG filing
The Town of Stowe, a government entity in Vermont, reported an external system breach (hacking) on 08/29/2022, discovered on 09/07/2022. The incident compromised Social Security Numbers and names of 377 individuals, including 4 Maine residents. Written notification was sent on 02/14/2023, and 12 months of identity protection services were offered.
Affected (this filing): 377
Town of Stowe, Vermont notified New Hampshire AG of unauthorized access to five email accounts from Aug 29 to Sep 7, 2022. Suspicious activity detected Aug 30, 2022. Data potentially exposed included names, DOB, SSN, driver's license, passport, financial account numbers, and medical/insurance info for 8 NH residents. Notices sent Feb 14, 2023 with credit monitoring offers.
Affected (this filing): 8
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.