Clustered 2 filings across 2 jurisdictions · filed Oct 16, 2019. View entity profile → Other incidents for this victim →
incident inc_2743f7868b034121 · merge_method deterministic · confidence 100%
Discovered → first regulatory filing
Range of discovered_at dates across filings
CA OR
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
Apr 10, 2019 → Sep 11, 2019
When the intrusion reportedly occurred, per the linked filings
Sep 11, 2019
Reported by CALIFORNIA AG, OREGON AG filings
Nutraceutical Wellness Inc. (dba Nutrafol) reported a data breach to the California Attorney General on April 10, 2019, affecting individuals whose names, addresses, and credit card information were potentially accessed by an unauthorized third party. The company engaged a computer security firm for investigation and enhanced security measures.
Nutraceutical Wellness Inc. dba Nutrafol reported a data breach to the Oregon Attorney General. The breach was reported on 2019-10-16. The breach occurred during 4/10/2019. The breach was discovered on 9/11/2019. 21,405 individuals were affected. Notice was sent on 10/11/2019.
Affected (this filing): 21,405
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.