Clustered 3 filings across 3 jurisdictions · filing window Jan 14, 2025 → Nov 13, 2025. View entity profile → Other incidents for this victim →
incident inc_cc3331c93cb64281 · merge_method deterministic · confidence 100%
Discovered → first regulatory filing
Range of discovered_at dates across filings
MD ME NH
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
Jan 17, 2024
When the intrusion reportedly occurred, per the linked filings
Apr 9, 2024
Reported by MAINE AG, NEW HAMPSHIRE AG, MARYLAND AG filings
Enviro Arbor Solutions LLC reported an external hacking incident that occurred on January 17, 2024. The breach was discovered on April 9, 2024. One Maine resident was affected, out of a total of 188 individuals. The company began notifying affected residents on June 12, 2024, and offered 12 months of complimentary credit monitoring services through CyberScout.
Affected (this filing): 1
Enviro Arbor Solutions LLC notified the New Hampshire Attorney General on January 15, 2025, of a data breach discovered on April 9, 2024. An unauthorized third party accessed EAS email accounts, exposing personal information of 22 New Hampshire residents. EAS engaged forensic experts, secured its email environment, and provided free credit monitoring services to affected individuals.
Affected (this filing): 22
Enviro Arbor Solutions (EAS) notified Maryland residents of a cybersecurity incident discovered on April 9, 2024, involving unauthorized access to EAS email accounts. The breach exposed personal data including names, birth dates, driver's license/government IDs, financial account and routing numbers, health insurance details, biometric information, clinical/treatment info, medical record numbers, passport numbers, usernames, passwords, and Social Security numbers. EAS secured the email environment, engaged forensic experts, enhanced security protocols, and offered complimentary credit monitoring and fraud assistance via Cyberscout/TransUnion.
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.