Confirmed breach. Intrusion May 5, 2022–Jun 1, 2022, discovered May 24, 2022 — the first regulatory filing landed 45 days later. 150 individuals reported across the linked filings.
incident inc_4c2bcb0b47b5433b · merge_method human · confidence 100%
Litigation Timing
Notification delay
45days
Discovered → first regulatory filing
Leak precedence
45days
Gap between first leak claim and first regulatory filing
Filing span
Regulatory clocksMaine⏱ ME AG >30d · 45dFull clock table in Litigation Timeline
Leak SiteState AGConfirmedLifecycle stage 2 of 3: ConfirmedUnverified claimConfirmedEnforcedalphv
45days
Time between earliest and latest filing
Not recorded for this incident
Discovery variance · Materiality delta · SEC filing delay — no SEC 8-K in this cluster; needs two dated filings.
high sensitivity
Affected (total reported)
150
Data types
2
Government ID · Identity (basic)
Jurisdictions
2
ME
Linked filings
2
Leak Site · State AG
Sensitive data
identity_government
Timeline
Earliest sighting first · deep chronology in Litigation Timeline
Breach window
May 5, 2022 → Jun 1, 2022
When the intrusion reportedly occurred, per the linked filings
Breach discoveredAG web form
May 24, 2022
Reported by MAINE AG filing
🌐GLOBALClaimed by ALPHV / BlackCatFirst sightinglinked via operator-confirmed · 100%
Green Mountain Electric Supply, Inc. provides innovative and renewable energy solutions. We support this effort through a commitment to highly trained staff, changes in technology, new products, and strong partnerships with customers and vendors. Our goal is to lead the industry in advancement and to deliver excellent service with honesty, integrity, and urgency.
45 days
🦞Maine State AGMost recentLeaked → filing gap · 45d
Green Mountain Electric Supply, Inc. reported an external system breach (hacking) occurring between May 5, 2022, and June 1, 2022, discovered on May 24, 2022. The incident affected 150 individuals, including 1 Maine resident. Acquired data included names and driver's license numbers. The company provided written notification and offered 1-year credit monitoring through Kroll.
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.