Clustered 2 filings across 2 jurisdictions · filed Jul 6, 2017. View entity profile → Other incidents for this victim →
incident inc_200ba1b991df4ffb · merge_method deterministic · confidence 100%
Discovered → first regulatory filing
Range of discovered_at dates across filings
Time between earliest and latest filing
Not recorded for this incident
Leak precedence · Materiality delta · SEC filing delay — no leak-site claim in this cluster; no SEC 8-K in this cluster.
Health (basic) · Identity (basic)
CA FEDERAL
HHS OCR · State AG
Earliest sighting first · deep chronology in Litigation Timeline
May 15, 2017
When the intrusion reportedly occurred, per the linked filings
May 17, 2017
Reported by HHS OCR, CALIFORNIA AG filings
University of California Davis Health reported to HHS on 2017-07-06 a phishing incident affecting 14,900 individuals. On May 15, 2017, an employee provided email login credentials in response to a phishing email. An unauthorized user then accessed the account, which contained clinical and demographic protected health information, and attempted to initiate a fraudulent wire transfer.
Affected (this filing): 14,900
University of California Davis Health reported that an unknown third party accessed an employee's work email account via a phishing event on May 17, 2017. The compromised email contained patient information including name, address, and diagnosis. The organization secured the account and offered 12 months of identity protection services through AllClear ID to affected individuals.
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.