Clustered 2 filings across 2 jurisdictions · filed Dec 30, 2020. View entity profile → Other incidents for this victim →
incident inc_19f899a04918426a · merge_method deterministic · confidence 100%
Discovered → first regulatory filing
Range of discovered_at dates across filings
Identity (basic) · Credentials
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.
DE SC
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
Jul 1, 2018 → Jul 31, 2018
When the intrusion reportedly occurred, per the linked filings
Sep 7, 2020
Reported by SOUTH CAROLINA AG, DELAWARE AG filings
ROMWE notified customers that usernames and passwords were stolen from its network in July 2018 and appeared on the dark web in September 2020. The breach exposed names, emails, and phone numbers. ROMWE forced password resets and offered 12 months of identity theft protection services. The incident affects customers across multiple US states.
ROMWE, operated by Zoetop Business Co. Ltd, disclosed that customer usernames and passwords were stolen from its network in July 2018 and discovered on September 7, 2020. The incident involved unauthorized access and exfiltration of credentials and basic PII (name, email, phone). ROMWE forced password resets and offered 12 months of identity theft protection services to affected customers across multiple US states.
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.