Clustered 2 filings across 1 jurisdiction · filed Apr 26, 2023. View entity profile → Other incidents for this victim →
incident inc_ad53d1a43423495c · merge_method deterministic · confidence 100%
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.
CA
HHS OCR · State AG
Earliest sighting first · deep chronology in Litigation Timeline
Feb 9, 2023
When the intrusion reportedly occurred, per the linked filings
California state AG breach notification sample for University of California, San Francisco, dated February 9, 2023. The filing is a template/sample and does not contain specific details regarding the nature of the breach, data types affected, or number of individuals impacted.
University of California, San Francisco reported to HHS OCR on 2023-04-26 a Hacking/IT Incident (email phishing attack) affecting 676 individuals. An employee was the subject of a phishing attack exposing PHI including names, dates of birth, diagnoses/conditions, and other treatment information stored in Email. The CE notified HHS, affected individuals, and the media, and implemented additional safeguards and workforce retraining.
Affected (this filing): 676
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.