GLOBALClaimed by QilinFirst sightinglinked via operator-confirmed · 100%
Posted to leak site Feb 16, 2026bd_4e577c45c0e330b5
Clustered 4 filings across 3 jurisdictions · filing window Feb 16, 2026 → May 8, 2026. View entity profile → Other incidents for this victim →
incident inc_e5f9f430973644a3 · merge_method human · confidence 100%
Gap between first leak claim and first regulatory filing
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.
IN MA
Leak Site · State AG
Earliest sighting first · deep chronology in Litigation Timeline
Feb 16, 2026
When the intrusion reportedly occurred, per the linked filings
Klevorn & Company, P.C. notified Massachusetts residents of a cybersecurity incident involving unauthorized access to its email tenant. The breach exposed personal information, prompting the firm to enhance security safeguards, provide cybersecurity training, and offer 24 months of complimentary credit monitoring via TransUnion. No identity theft or fraud has been confirmed.
Klevorn & Company PC reported a data breach to the Indiana Attorney General. The breach occurred on 2026-02-16 and was reported on 2026-05-08. 3 Indiana residents were affected. 1,301 individuals affected in total.
Affected (this filing):
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.