Clustered 2 filings across 2 jurisdictions · filing window Aug 30, 2019 → Sep 3, 2019. View entity profile → Other incidents for this victim →
incident inc_0885a0cfaf794b3a · merge_method deterministic · confidence 100%
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.
Identity (basic) · Credentials · PII
CA DE
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
Foxit Software, a technology company, disclosed a data breach involving unauthorized access to 'My Account' user data. The incident exposed names, email addresses, company names, phone numbers, passwords, and IP addresses. Foxit invalidated compromised passwords, engaged a security management firm for forensics, and cooperated with law enforcement. No payment information was exposed.
Foxit Software reported a cybersecurity incident involving unauthorized access to its 'My Account' user account data. The breach exposed user names, email addresses, company names, phone numbers, passwords, and IP addresses. No credit card or payment information was exposed. Foxit invalidated passwords, engaged forensic investigators, and notified law enforcement.
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.