Clustered 2 filings across 2 jurisdictions · filed Apr 26, 2016. View entity profile → Other incidents for this victim →
incident inc_200e4f9c97fe45ea · 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.
CA OR
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
Apr 4, 2016
When the intrusion reportedly occurred, per the linked filings
Apr 4, 2016
Reported by OREGON AG filing
Advanced International Marketing, Inc. reported a data breach to the Oregon Attorney General. The breach was reported on 2016-04-26. The breach occurred during 4/4/2016. The breach was discovered on 4/4/2016. 63,888 individuals were affected. Notice was sent on 4/26/2016.
Affected (this filing): 63,888
Advance International Marketing, Inc. filed a data breach notification with the California Attorney General. The breach occurred on April 4, 2016. The provided source document contains only the filing metadata and an empty attachment placeholder; no narrative details regarding the nature of the breach, data types affected, or number of individuals impacted are available in the text.
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.