Colorado River Indian Tribes — October 2013 breach
One linked filing — more sources may join as they report · filed Nov 14, 2014. View entity profile → Other incidents for this victim →
incident inc_e79ad936fced4539 · merged by deterministic
Litigation Timing
Not recorded for this incident
Discovery variance · Leak precedence · Materiality delta · SEC filing delay · Filing span — no leak-site claim in this cluster; no SEC 8-K in this cluster; needs two dated filings.
Incident timeline
No discovery date is recorded on any filing in this cluster, so the notification delay is not computable. Dashed segments fill in as filings merge.
Member cascade — every filing about this breach
- NOV 14HHS OCRHHS OCR noticeonly filing · states nationwide total 1,296day 0
- Watching for additional filings — new sources merge into this incident automatically.
Roll-up facts — reconciled across members
- Breach window
- Oct 1, 2013 – Oct 31, 2013 HHS OCR
- Discovered
- —
- Data types
- PHI · Health (basic) · Identity (basic) · Financial account HHS OCR
- Attack vector
- Misconfiguration HHS OCR
- Response
- Sanctioned the involved employee · Retrained employees · Provided breach notifications to individuals, the media, and HHS HHS OCR
Each fact cites the member filing that establishes it; when filings conflict, every value shows with its source.
Evidence ladder — rungs this incident occupies
No leak-site claim on record for this incident.
No press coverage linked yet.
Unlocks: discovery date, data types, affected count, compliance clock.
No SEC filing or victim statement yet.
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.