Clustered 2 filings across 2 jurisdictions · filed Nov 26, 2025. View entity profile → Other incidents for this victim →
incident inc_c352c484553f42fc · merge_method deterministic · confidence 100%
Discovered → first regulatory filing
Range of discovered_at dates across filings
CA ME
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.
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
May 24, 2025
When the intrusion reportedly occurred, per the linked filings
May 24, 2025
Reported by CALIFORNIA AG filing
Aug 25, 2025
Reported by MAINE AG filing
Tami J. Dunham, CPA reported a data breach to the Maine Attorney General's office after an external system breach (hacking) that occurred on May 24, 2025. The breach was discovered on August 25, 2025 and affected one Maine resident. The company offered 12 months of credit monitoring and identity restoration services through Epiq.
Affected (this filing): 1
Tami J. Dunham, CPA identified suspicious activity on its network in late May 2025. An investigation determined that an unknown actor viewed and downloaded files between May 24 and May 26, 2025. The compromised data included names and potentially Social Security numbers. The firm engaged cybersecurity specialists, reviewed policies, enhanced controls, changed its external IT firm, and offered credit monitoring 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.