Clustered 2 filings across 2 jurisdictions · filed Dec 19, 2023. View entity profile → Other incidents for this victim →
incident inc_85619c0fd56148f4 · merge_method deterministic · confidence 100%
Discovered → first regulatory filing
Range of discovered_at dates across filings
Identity (basic) · 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.
NH VT
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
Oct 31, 2023 → Nov 10, 2023
When the intrusion reportedly occurred, per the linked filings
Nov 10, 2023
Reported by VERMONT AG, NEW HAMPSHIRE AG filings
Great Valley School District notified consumers of a data breach occurring between Oct 31 and Nov 10, 2023. An unauthorized actor accessed systems, potentially viewing names and addresses. The District engaged third-party cybersecurity specialists and offers 12-24 months of Equifax credit monitoring. No specific count of affected individuals was provided in the filing.
Great Valley School District notified New Hampshire residents of unauthorized access to systems between Oct 31 and Nov 10, 2023. The incident involved an unauthorized actor gaining access to personal information, potentially including SSNs and names. Great Valley engaged third-party cybersecurity specialists, notified law enforcement, and offered Equifax credit monitoring to affected individuals.
Affected (this filing): 2
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.