Clustered 2 filings across 1 jurisdiction · filed Nov 5, 2021. View entity profile → Other incidents for this victim →
incident inc_db5fa647199e420f · merge_method llm · confidence 56%
Discovered → first regulatory filing
Range of discovered_at dates across filings
Government ID
Time between earliest and latest filing
Not recorded for this incident
Leak precedence · Materiality delta · SEC filing delay — no leak-site claim in this cluster; no SEC 8-K in this cluster.
ME
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
Jun 7, 2021 → Oct 6, 2021
When the intrusion reportedly occurred, per the linked filings
Jun 7, 2021
Reported by MAINE AG filing
Jun 13, 2021
Reported by MAINE AG filing
TOPS Staffing reported an external system breach that occurred from June 7, 2021, to October 6, 2021, and was discovered on June 7, 2021. The breach affected one Maine resident, compromising their name and driver's license or non-driver identification card number. The company offered credit monitoring and identity theft services through Kroll.
Affected (this filing): 1
TOPS Staffing experienced an external system breach (hacking) between June 7 and June 13, 2021. The incident affected 7,118 individuals, including 1 Maine resident. Acquired information included names combined with driver's license numbers. TOPS Staffing notified affected individuals on November 5, 2021, and provided 12 months of Kroll credit monitoring and identity theft services.
Affected (this filing): 7,118
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.