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.
Regulatory clocksVermont⏱ VT AG >14 bdayFull clock table in Litigation Timeline
State AGConfirmedLifecycle stage 2 of 3: ConfirmedUnverified claimConfirmedEnforcedhigh sensitivity
Affected (total reported)
416
Data types
2
Identity (basic) · Government ID
Jurisdictions
2
IN VT
Linked filings
2
all State AG
Sensitive data
identity_government
Timeline
Earliest sighting first · deep chronology in Litigation Timeline
Breach window
Jul 28, 2025
When the intrusion reportedly occurred, per the linked filings
Phoenix Products, LLC notified consumers of a ransomware attack discovered on July 31, 2025. The incident potentially exposed former and current employee data, including names and Social Security numbers. The company engaged forensic specialists, reported to federal law enforcement, and offered 12 months of credit monitoring.
VT AG >14 bday
🏎️Indiana State AGMost recentlinked via multistate filing link · 100%
Phoenix Products LLC reported a data breach to the Indiana Attorney General. The breach occurred on 2025-07-28 and was reported on 2025-09-11. 2 Indiana residents were affected. 416 individuals affected in total.
Affected (this filing): 416
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.