Clustered 2 filings across 2 jurisdictions · filing window Jan 27, 2026 → Feb 26, 2026. View entity profile → Other incidents for this victim →
incident inc_1698d8b30be747b5 · merge_method human · confidence 100%
Time between earliest and latest filing
Not recorded for this incident
Discovery variance · Leak precedence · Materiality delta · SEC filing delay — needs two dated filings.
FEDERAL
Leak Site · SEC 10-K Item 1C
Earliest sighting first · deep chronology in Litigation Timeline
Records: 10M Records | Updated: 28 Jan 2026 | Note: Your greed is killing you. | Don't be an idiot like this company. Make the right decision; don't be the next headline. Get off your moral high horse and make the right decision for your stakeholders. PAY OR LEAK otherwise you'll be made an example of.
Match Group (Match Group, Inc.) disclosed in its 10-K Item 1C that while no specific cybersecurity incidents have materially affected the company, it faces ongoing risks from directed attacks. These attacks aim to cause service interruptions and result in the loss, misuse, or theft of personal information (third parties, employees, users) and intellectual property. The company maintains a cybersecurity program, insurance, and governance oversight but acknowledges potential business, regulatory, and litigation risks from unauthorized 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.