Clustered 2 filings across 2 jurisdictions · filed Dec 28, 2020. View entity profile → Other incidents for this victim →
incident inc_a6289e82b4c54673 · 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.
ME MT
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
Oct 26, 2020
When the intrusion reportedly occurred, per the linked filings
Oct 26, 2020
Reported by MAINE AG filing
Central Illinois Carpenters Retirement Savings Fund reported a data breach to the Montana Attorney General. The breach was reported on 2020-12-28. The breach occurred on 10/26/2020. 8 Montana residents were affected.
Affected (this filing): 8
Central Illinois Carpenters Retirement Savings Fund experienced an external system breach (hacking) on October 26, 2020, affecting 7,114 individuals. The incident compromised names and Social Security Numbers. The fund notified affected individuals in writing on December 28, 2020, and offered 12-24 months of credit and identity monitoring services through Experian. 14 Maine residents were specifically affected.
Affected (this filing): 7,114
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.