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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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VIPAR Heavy Duty data breach claim (2023) — unverified leak-site allegation · DisclosureLens

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Incident · single filing

VIPAR Heavy Duty

One linked filing — more sources may join as they report · filed Feb 15, 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 Feb 15, 2023 by LockBit 3.x; no regulatory filing has corroborated it yet.

incident inc_5d65ed0de7e24c11 · 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 claimConfirmedEnforcedlockbit_3

Affected (total reported)

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Data types

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Jurisdictions

Linked filings

all Leak Site

Timeline

Earliest sighting first · deep chronology in Litigation Timeline

GLOBALClaimed by LockBit 3.xFirst sighting
Posted to leak site Feb 15, 2023bd_7630e6e830f46dcd
VIPAR Heavy Duty is North America’s leading network of independent aftermarket truck parts distributors. VIPAR Heavy Duty distributors serve the needs of their customers from over 560 locations across the United States, Canada, Puerto Rico, and Mexic...

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.