Clustered 2 filings across 2 jurisdictions · filed Dec 17, 2025. View entity profile → Other incidents for this victim →
incident inc_987835c974064562 · merge_method deterministic · confidence 100%
Discovered → first regulatory filing
Range of discovered_at dates across filings
PII
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.
CA VT
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
Oct 17, 2025 → Oct 19, 2025
When the intrusion reportedly occurred, per the linked filings
Oct 21, 2025
Reported by VERMONT AG, CALIFORNIA AG filings
McIntosh Laboratory, Inc. notified consumers of a cyber attack detected on October 21, 2025. Unauthorized access occurred between October 17-19, 2025, potentially impacting names and other personal data. The company engaged forensic experts and secured its network. Notification was sent on December 17, 2025.
McIntosh Laboratory, Inc. experienced a cyber attack where an unauthorized third party accessed and acquired data between October 17 and 19, 2025. The company detected suspicious activity on October 21, 2025. Affected data included names and other personal information. The company secured its systems and engaged forensic experts.
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.