Clustered 2 filings across 2 jurisdictions · filing window Aug 31, 2024 → Sep 12, 2024. View entity profile → Other incidents for this victim →
incident inc_2572c98dbc684bbe · merge_method deterministic · confidence 100%
Discovered → first regulatory filing
Range of discovered_at dates across filings
ME WA
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.
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
Mar 3, 2023
When the intrusion reportedly occurred, per the linked filings
Jan 11, 2024
Reported by WASHINGTON AG, MAINE AG filings
Connecticut College, a education sector entity reported a unauthorized access incident to the Washington Attorney General. The organization became aware of the incident on 2024-01-11 and filed notice on 2024-08-31. 711 Washington residents were affected. 233 days elapsed between awareness and notification.
Affected (this filing): 711
Connecticut College experienced an external system breach (hacking) on or about March 3, 2023, discovered on January 11, 2024. The investigation concluded July 15, 2024. A total of 1,871 Maine residents were affected: 954 notified in February 2024 and 917 additional residents notified in August 2024. Affected individuals were offered 12 months of complimentary Experian IdentityWorks Credit 3B monitoring. Medical information safeguarding guidance was also provided, suggesting PHI may be involved.
Affected (this filing): 1,871
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.