Clustered 2 filings across 1 jurisdiction · filing window Feb 3, 2014 → Feb 14, 2014. View entity profile → Other incidents for this victim →
incident inc_06b493538db149c7 · merge_method deterministic · confidence 100%
Discovered → first regulatory filing
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) · Health (basic)
CA
HHS OCR · State AG
Earliest sighting first · deep chronology in Litigation Timeline
Dec 13, 2013
When the intrusion reportedly occurred, per the linked filings
Dec 13, 2013
Reported by HHS OCR filing
UC Davis Health System notified patients that a medical provider's email account was compromised via a phishing scam on December 13, 2013. Affected data included names, medical record numbers, and clinic visit dates. No financial information or SSNs were involved. The organization deleted the phishing email, blocked the website, and warned staff.
UC Davis Medical Center reported to HHS on 2014-02-14 a Hacking/IT Incident affecting 2269 individuals. Breached information located on Email. A fraudulent phishing email instructed employees to input authentication credentials on a fake site, impacting three accounts containing ePHI of 2,269 individuals.
Affected (this filing): 2,269
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.