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Structured extracts of public breach disclosures — regulator filings (SEC, HHS, state AGs, EU DPAs) alongside threat-actor leak-site claims and press reports. SEC and HHS filings render inline from the originating regulator’s public record under the fair report privilege; other sources link out to the source URL. AI-extracted with full per-record audit trail (model, prompt version, confidence).

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Medical University of the Americas data breach claim (2023) — unverified leak-site allegation · DisclosureLens

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Incident · single filing

Medical University of the Americas

One linked filing — more sources may join as they report · filed May 20, 2023. View entity profile → Other incidents for this victim →

Unverified threat-actor claim — not a regulatory filing

Attribution, victim identity, and counts shown here derive from a threat actor's public extortion-blog claims, aggregated by ransomware.live. They have not been validated by the victim or any regulator. Treat them as the threat actor's assertion until a regulatory filing or victim disclosure corroborates them.

Unverified claim. Posted to a leak site May 20, 2023 by Nokoyawa; no regulatory filing has corroborated it yet.

incident inc_6f981d3a79d04cd7 · merge_method deterministic

Litigation Timing

Not recorded for this incident

Discovery variance · Leak precedence · Materiality delta · SEC filing delay · Filing span — no SEC 8-K in this cluster; needs two dated filings.

Leak SiteUnverified claimLifecycle stage 1 of 3: Unverified claimUnverified claimConfirmedEnforcednokoyawa

Affected (total reported)

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Data types

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Linked filings

all Leak Site

Timeline

Earliest sighting first · deep chronology in Litigation Timeline

GLOBALClaimed by NokoyawaFirst sighting
Posted to leak site May 20, 2023bd_30e3a26fbdaac7cf
Medical University of the Americas (MUA) is a private for-profit offshore medical school in Charlestown, Nevis. It is owned by R3 Education, Inc. which also owns St. Matthew's University and the Saba University School of Medicine Students at MUA are primarily from the US and Canada and return to...

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.