Clustered 2 filings across 2 jurisdictions · filing window Nov 14, 2023 → Nov 18, 2023. View entity profile → Other incidents for this victim →
incident inc_bfdf25715a694fad · merge_method deterministic · confidence 100%
Discovered → first regulatory filing
Range of discovered_at dates across filings
Identity (basic) · Government ID · Financial account
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.
NH VT
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
Dec 29, 2022
Reported by VERMONT AG, NEW HAMPSHIRE AG filings
McCord LLC, a financial advisory entity, notified consumers of a security incident involving unauthorized access to an advisor's email account via phishing. The incident, discovered on December 29, 2022, potentially exposed names, addresses, DOBs, driver's license numbers, financial account numbers, and SSNs. McCord engaged Kroll for one year of identity monitoring and enhanced security protocols.
McCord LLC, a financial advisory firm, notified the New Hampshire Attorney General of a security incident involving unauthorized access to an advisor's email account. The breach, discovered on December 29, 2022, affected 16 New Hampshire residents. Personal information, including names and government IDs, was potentially accessed via a phishing attack. McCord secured the account, engaged Kroll for credit monitoring services, and mailed notifications to affected individuals.
Affected (this filing): 16
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.