Christy Sports, LLC reported a data breach to the Montana Attorney General. The breach was reported on 2020-11-04. The breach occurred from 7/1/2020 to 9/10/2020. 32 Montana residents were affected.
Affected (this filing): 32
Clustered 2 filings across 2 jurisdictions · filing window Nov 4, 2020 → Nov 6, 2020. View entity profile → Other incidents for this victim →
incident inc_bc15f65e6cef46b0 · merge_method llm · confidence 44%
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.
Financial account · Financial credentials
ME MT
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
Jul 1, 2020
When the intrusion reportedly occurred, per the linked filings
Sep 10, 2020
Reported by MAINE AG filing
Christy Sports, LLC reported a data breach to the Montana Attorney General. The breach was reported on 2020-11-04. The breach occurred from 7/1/2020 to 9/10/2020. 32 Montana residents were affected.
Affected (this filing): 32
Christy Sports LLC suffered an internal system breach between July 1, 2020, and September 1, 2020, discovered on September 10, 2020. The breach compromised financial account numbers or credit/debit card numbers along with associated security codes or PINs. A total of 13 Maine residents were affected and notified on November 4, 2020.
Affected (this filing): 13
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.