Clustered 2 filings across 2 jurisdictions · filing window Oct 30, 2025 → Nov 28, 2025. View entity profile → Other incidents for this victim →
incident inc_e8688912e826494f · merge_method human · confidence 100%
Gap between first leak claim and first regulatory filing
Time between earliest and latest filing
Not recorded for this incident
Discovery variance · Materiality delta · SEC filing delay — no SEC 8-K in this cluster; needs two dated filings.
TX
Leak Site · HHS OCR
Earliest sighting first · deep chronology in Litigation Timeline
Spindletop Center Spindletop Center is a non-profit healthcare organization focused on providing behavioral healthcare, as well as programs for individuals with intellectual and developmental disabilities and substance use recovery services. Over 100,000 patient records (address, phone number, passport number, social security number, diagnosis, medical history, etc.)
HHS OCR breach portal entry: Spindletop Center (TX, Healthcare Provider) reported a Hacking/IT Incident affecting a network server, impacting 88,863 individuals. Submitted to OCR on 2025-11-28. No business associate involved per the portal entry. No narrative description was provided in the portal row, so attack subcategory (e.g., ransomware vs. unauthorized access) is unknown.
Affected (this filing): 88,863
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.