Clustered 2 filings across 2 jurisdictions · filing window May 24, 2023 → May 31, 2023. View entity profile → Other incidents for this victim →
incident inc_6f4612a7290d4b8b · merge_method deterministic · confidence 100%
Discovered → first regulatory filing
Range of discovered_at dates across filings
Identity (basic) · Credentials
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 12, 2022 → Oct 29, 2022
When the intrusion reportedly occurred, per the linked filings
Oct 28, 2022
Reported by VERMONT AG, NEW HAMPSHIRE AG filings
Goodwill Industries of Greater New York and Northern NJ, Inc. notified consumers of an unauthorized access to an employee email account between Oct 12-29, 2022. The breach exposed names and an extra identifier. Goodwill secured the account, reset passwords, reported to law enforcement, and offered 24 months of credit monitoring. Approximately 3 Rhode Island residents were impacted.
Affected (this filing): 3
Goodwill Industries of Greater New York and Northern NJ, Inc. notified the NH AG of an unauthorized access to an employee email account. Access occurred between Oct 12-29, 2022; detected Oct 28, 2022. 4 NH residents affected. PII involved. Goodwill secured the account, notified law enforcement, and offered 24 months of credit monitoring.
Affected (this filing): 4
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.