Clustered 2 filings across 2 jurisdictions · filing window Aug 7, 2023 → Sep 7, 2023. View entity profile → Other incidents for this victim →
incident inc_a0937d0b93da4d27 · merge_method deterministic · confidence 95%
Discovered → first regulatory filing
Range of discovered_at dates across filings
Identity (basic) · Financial account
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 VT
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
May 27, 2023
When the intrusion reportedly occurred, per the linked filings
May 27, 2023
Reported by VERMONT AG filing
Jun 1, 2023
Reported by MAINE AG filing
Enterprise Bank & Trust Company notified consumers of a data breach involving its MOVEit Transfer server, exploited by an unknown actor via a vulnerability in Progress Software Corp.'s third-party file transfer tool. The incident resulted in the exfiltration of customer names and financial account information. The bank applied patches, investigated, and offered credit monitoring services.
Enterprise Bank & Trust Company (MA) reported an external system breach (hacking) occurring on 05/27/2023, discovered on 06/01/2023. The incident affected 1,314 individuals, including 24 Maine residents. Acquired data included names and financial account numbers (combined with security codes/PINs). The bank provided written notification and 12-24 months of credit monitoring via Experian.
Affected (this filing): 1,314
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.