Clustered 2 filings across 2 jurisdictions · filed Dec 22, 2021. View entity profile → Other incidents for this victim →
incident inc_de0226a6b7b64d43 · merge_method deterministic · confidence 100%
Discovered → first regulatory filing
Range of discovered_at dates across filings
CA WA
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
Apr 1, 2021
When the intrusion reportedly occurred, per the linked filings
Nov 1, 2021
Reported by WASHINGTON AG, CALIFORNIA AG filings
Pro Wrestling Tees, a business sector entity reported a malware incident to the Washington Attorney General. The organization became aware of the incident on 2021-11-01 and filed notice on 2021-12-22. 581 Washington residents were affected. 51 days elapsed between awareness and notification. 214 days to identify the breach. 0 days to contain the breach.
Affected (this filing): 581
Pro Wrestling Tees notified customers of a data breach involving credit card numbers and full names. The company was informed by law enforcement on November 1, 2021, that a small portion of customer credit card numbers had been compromised. An investigation concluded that a malware virus was the source. The breach date listed on the state filing is April 1, 2021. The company removed the malware, secured systems, and offered identity theft protection services.
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.