Clustered 2 filings across 2 jurisdictions · filed Aug 11, 2022. View entity profile → Other incidents for this victim →
incident inc_ce946eee0e094d98 · 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.
PII · Identity (basic)
CA MT
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
Jan 5, 2022 → Mar 6, 2022
When the intrusion reportedly occurred, per the linked filings
Mar 6, 2022
Reported by CALIFORNIA AG filing
City of Maywood, California, notified residents of a data security incident in early March 2022 involving unauthorized access to an employee's email account, likely via phishing. The breach potentially exposed personal information of residents. The City engaged a cybersecurity firm, secured its systems, and offered complimentary identity theft protection services to affected individuals.
City of Maywood reported a data breach to the Montana Attorney General. The breach was reported on 2022-08-11. The breach occurred from 1/5/2022 to 3/6/2022. 1 Montana residents were affected.
Affected (this filing): 1
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.