Clustered 2 filings across 2 jurisdictions · filing window Apr 25, 2014 → Apr 30, 2014. View entity profile → Other incidents for this victim →
incident inc_a03a2c5ad3844117 · merge_method deterministic · confidence 100%
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) · Financial account
CA NH
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
Jul 4, 2013 → Feb 18, 2014
When the intrusion reportedly occurred, per the linked filings
State of New Hampshire Attorney General breach notification filed by Boomerang Tags on April 25, 2014. The attached consumer notification letter is empty; no breach details, dates, or data types are provided in the filing.
Boomerang Tags reported that unauthorized individuals installed malicious software on its website server, compromising payment card data (name, address, card number, expiration date, security code) of visitors who made purchases between July 4, 2013, and February 18, 2014. The company contained the incident, engaged forensic investigators, and is replacing its payment processor and redesigning its website with enhanced security.
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.