Clustered 2 filings across 2 jurisdictions · filed Feb 15, 2019. View entity profile → Other incidents for this victim →
incident inc_088ba6c9cdfb4505 · 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
Jan 3, 2019 → Jan 24, 2019
When the intrusion reportedly occurred, per the linked filings
Jan 4, 2019
Reported by CALIFORNIA AG filing
Jan 30, 2019
Reported by OREGON AG filing
North Country Business Products, Inc. reported a data security incident where malware deployed to business partners' POS systems collected credit and debit card information (cardholder name, number, expiration, CVV) between Jan 3-24, 2019. The company engaged forensic investigators and notified affected parties and regulators.
North Country Business Products, Inc. reported a data breach to the Oregon Attorney General. The breach was reported on 2019-02-15. The breach occurred during 1/3/2019 - 1/24/2019. The breach was discovered on 1/30/2019. 120,000 individuals were affected. Notice was sent on 2/15/2019.
Affected (this filing): 120,000
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.