Clustered 2 filings across 2 jurisdictions · filed Nov 21, 2022. View entity profile → Other incidents for this victim →
incident inc_68c462bea6ca47b9 · merge_method deterministic · confidence 100%
Discovered → first regulatory filing
Range of discovered_at dates across filings
ME OR
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.
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
Apr 8, 2021 → May 12, 2022
When the intrusion reportedly occurred, per the linked filings
Oct 2, 2022
Reported by OREGON AG, MAINE AG filings
Receivables Performance Management LLC reported a data breach to the Oregon Attorney General. The breach was reported on 2022-11-21. The breach occurred during 4/8/2021 - 5/12/2022. The breach was discovered on 10/2/2022. 3,766,573 individuals were affected. Notice was sent on 11/21/2022.
Affected (this filing): 3,766,573
Receivables Performance Management LLC reported an external system breach (hacking) occurring on April 8, 2021, discovered on October 2, 2022. The incident compromised names and Social Security Numbers of approximately 3.77 million individuals, including 8,682 Maine residents. The company provided written notification and offered 12 months of credit monitoring through TransUnion.
Affected (this filing): 3,766,573
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.