Clustered 2 filings across 2 jurisdictions · filed Dec 19, 2024. View entity profile → Other incidents for this victim →
incident inc_f84e32e01c944a16 · merge_method deterministic · confidence 100%
Discovered → first regulatory filing
Time between earliest and latest filing
Not recorded for this incident
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.
Identity (basic)
CA NH
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
Apr 5, 2024 → Aug 29, 2024
When the intrusion reportedly occurred, per the linked filings
Jun 6, 2024
Reported by NEW HAMPSHIRE AG filing
The Coffee Bean & Tea Leaf experienced unauthorized access to systems and email accounts between April and August 2024. The breach affected 17 New Hampshire residents, potentially exposing PII. The company notified law enforcement, offered credit monitoring, and implemented employee training.
Affected (this filing): 17
International Coffee & Tea, LLC (The Coffee Bean & Tea Leaf) reported unauthorized access to certain systems and limited email accounts between April 5 and August 29, 2024. An external actor gained access, potentially viewing names and other personal information. The company engaged third-party cybersecurity specialists, strengthened system security, and offered credit monitoring to affected individuals.
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.