Clustered 2 filings across 2 jurisdictions · filed Nov 30, 2020. View entity profile → Other incidents for this victim →
incident inc_130bbbce6ea84a6d · 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.
Identity (basic) · Government ID
ME MT
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
Jul 11, 2020
When the intrusion reportedly occurred, per the linked filings
Oct 1, 2020
Reported by MAINE AG filing
Interstate Restoration, LLC experienced a hacking incident on July 11, 2020, which was discovered on October 1, 2020. The breach affected 594 individuals, compromising their names and Social Security numbers. The company began notifying affected individuals on November 30, 2020, and offered 12 months of credit monitoring and identity restoration services through Kroll.
Affected (this filing): 594
Interstate Restoration, LLC reported a data breach to the Montana Attorney General. The breach was reported on 2020-11-30. The breach occurred on 7/11/2020. 3 Montana residents were affected.
Affected (this filing): 3
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.