Clustered 2 filings across 2 jurisdictions · filed Mar 19, 2025. View entity profile → Other incidents for this victim →
incident inc_37370258ae2c466d · merge_method deterministic · confidence 100%
Discovered → first regulatory filing
Time between earliest and latest filing
Not recorded for this incident
CA ME
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
May 21, 2024
When the intrusion reportedly occurred, per the linked filings
Jan 31, 2025
Reported by MAINE AG filing
Vista Point Mortgage, LLC, a financial services company, reported an external system breach (hacking) that occurred on May 21, 2024, and was discovered on January 31, 2025. The breach affected 6 Maine residents, who were notified on March 19, 2025. The company offered 12 months of credit monitoring and identity theft protection services through IDX.
Affected (this filing): 6
Vista Point Mortgage, LLC reported unauthorized access to two employee email accounts between May 21 and June 5, 2024. The company discovered suspicious activity and investigated, completing a data review on January 31, 2025. Affected individuals' names and other personal information may have been exposed. The supplemental notice, dated March 19, 2025, was filed with the California AG. Complimentary credit monitoring through IDX was offered to affected individuals.
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.