CNU Online Holdings, LLC d/b/a Net Credit reported a data breach to the Montana Attorney General. The breach was reported on 2018-03-08. The breach occurred on 2/20/2018. 6 Montana residents were affected.
Affected (this filing): 6
Clustered 2 filings across 2 jurisdictions · filing window Mar 8, 2018 → Mar 19, 2018. View entity profile → Other incidents for this victim →
incident inc_a5110b6e89c948aa · merge_method deterministic · confidence 95%
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 MT
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
Feb 20, 2018
When the intrusion reportedly occurred, per the linked filings
Feb 20, 2018
Reported by CALIFORNIA AG filing
CNU Online Holdings, LLC d/b/a Net Credit reported a data breach to the Montana Attorney General. The breach was reported on 2018-03-08. The breach occurred on 2/20/2018. 6 Montana residents were affected.
Affected (this filing): 6
NetCredit discovered on Feb 20, 2018, that an unauthorized party used valid email addresses and passwords to access a small percentage of accounts. The attacker changed personal information and completed new loan applications. Affected data included names, addresses, last 4 digits of SSN and bank accounts, and employment info. NetCredit blocked the attacker and restricted account access.
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.