Hafetz & Associates reported a data breach to the Indiana Attorney General. The breach occurred on 2023-07-24 and was reported on 2024-06-28. 1 Indiana residents were affected. 2,391 individuals affected in total.
Affected (this filing): 2,391
Clustered 2 filings across 2 jurisdictions · filed Jun 28, 2024. View entity profile → Other incidents for this victim →
incident inc_4b6921ff105e4e01 · merge_method deterministic · confidence 100%
Discovered → first regulatory filing
Time between earliest and latest filing
Not recorded for this incident
Discovery variance · Leak precedence · Materiality delta · SEC filing delay — no leak-site claim in this cluster; no SEC 8-K in this cluster; needs two dated filings.
IN NH
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
Jul 24, 2023
When the intrusion reportedly occurred, per the linked filings
Oct 12, 2023
Reported by NEW HAMPSHIRE AG filing
Hafetz & Associates reported a data breach to the Indiana Attorney General. The breach occurred on 2023-07-24 and was reported on 2024-06-28. 1 Indiana residents were affected. 2,391 individuals affected in total.
Affected (this filing): 2,391
Hafetz & Associates notified the NH Attorney General of a phishing incident resulting in unauthorized access to employee email accounts between July 24 and October 12, 2023. One NH resident's name was exposed. Hafetz blocked access, investigated, and mailed notifications on June 28, 2024, offering two years of credit monitoring via Kroll.
Affected (this filing): 1
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.