GLOBALClaimed by MazeFirst sightinglinked via shared-victim match · 100%
Posted to leak site Sep 11, 2020bd_e693ce2405ac5416
Clustered 3 filings across 3 jurisdictions · filing window Sep 11, 2020 → Feb 28, 2021. View entity profile → Other incidents for this victim →
incident inc_53b99b12b5144fef · merge_method human · confidence 100%
Discovered → first regulatory filing
Gap between first leak claim and first regulatory filing
Time between earliest and latest filing
Not recorded for this incident
Discovery variance · Materiality delta · SEC filing delay — no SEC 8-K in this cluster; needs two dated filings.
ME MT
Leak Site · State AG
Earliest sighting first · deep chronology in Litigation Timeline
Aug 21, 2020
When the intrusion reportedly occurred, per the linked filings
Sep 6, 2020
Reported by MAINE AG filing
Fairfax County Public Schools reported a data breach to the Montana Attorney General. The breach was reported on 2020-11-09. The breach occurred from 8/21/2020 to 9/6/2020. 14 Montana residents were affected.
Affected (this filing):
Fairfax County Public Schools, an educational institution, experienced an external system breach (hacking) that occurred from August 21, 2020, to September 5, 2020. The breach was discovered on September 6, 2020. The compromised information included names and Social Security numbers. A total of 172,128 individuals were affected, including 93 residents of Maine. Notification to the affected consumers was sent on January 21, 2021, and 12 months of identity and credit monitoring services were offered through Experian.
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.
Affected (this filing): 93