UFP TECHNOLOGIES INC
UFPTExposed:customer datapii
Every material cybersecurity incident a U.S. public company was required to disclose under SEC Item 1.05 — structured, enriched with AI-extracted fields, linked across 8-K/A amendments, and joined to stock-price reactions. Ready for research, risk modeling, and journalism.
Every Item 1.05 filing with 30+ AI-extracted fields: incident type, data categories exposed, operational disruption, timeline, remediation status, threat-actor attribution where disclosed.
8-K/A amendments linked to the original disclosure, with a summary of what changed — scope updates, cost disclosures, regulatory cooperation notes.
Daily returns t-5 to t+30 around the disclosure date, with market- and industry-adjusted returns. Joined to the main table by accession.
The company's own 10-K cybersecurity language before and after the incident, with AI-generated diff summaries showing what they added post-breach.
16-page CyberSecurityReport in Markdown, HTML, and PDF — incident type mix, filing cadence, data-category breakdown, disclosure lag, notable incidents.
Five formats — CSV, Parquet, DuckDB, JSONL, SQLite. Every format has the same row counts; use whichever fits your stack.
A closer look at five filings — fields, market reaction, and a narrative excerpt. The bundle covers every Item 1.05 filing, with full disclosures and every extracted field populated.
Every incident with market data has a daily panel from t-5 to t+20, both raw and market-adjusted. Example: UFP TECHNOLOGIES INC (UFPT) on 2026-02-24.
Full catalog, newest first. A short teaser is shown for each; the complete narrative, 30+ extracted fields, risk-factor diff, and stock-price panel are in the bundle.
Every bundle ships a buyer-focused analyst report with corpus rollups, filing-cadence trends, data-category breakdowns, and notable-incident callouts. Preview the first three sections below, or open the full report.
Build empirical studies on breach disclosure timing, materiality standards, and cross-industry incident patterns with a clean, complete corpus.
Benchmark disclosed incident frequency, severity, and remediation timelines across sectors. Calibrate loss models on real SEC-reported events.
Track repeat filers, amendment chains, and the gap between discovery and disclosure. Every field has a source-sentence pointer.
See how peers disclose, what they choose to omit, and how risk-factor language changes post-incident. Ready-made for peer-benchmark decks.
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