Clustered 2 filings across 2 jurisdictions · filed Feb 7, 2024. View entity profile → Other incidents for this victim →
incident inc_4e81d50b52e9446c · merge_method deterministic · confidence 100%
Discovered → first regulatory filing
Range of discovered_at dates across filings
PII · Credentials · Identity (basic)
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
Aug 30, 2023 → Nov 15, 2023
When the intrusion reportedly occurred, per the linked filings
Nov 15, 2023
Reported by VERMONT AG, NEW HAMPSHIRE AG filings
Transportation Federal Credit Union notified consumers of a data breach where an unauthorized third party accessed employee email accounts between August 30 and November 15, 2023. The incident involved the viewing of personal information. The credit union secured accounts, engaged forensic investigators, and offered one year of Experian IdentityWorks credit monitoring to affected individuals.
Transportation Federal Credit Union reported unauthorized access to employee email accounts via phishing, resulting in a fraudulent wire transfer. The incident affected 6 New Hampshire residents, exposing PII including SSNs and driver's license numbers. TFCU secured accounts, engaged forensic investigators, notified law enforcement, and offered credit monitoring.
Affected (this filing): 6
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.