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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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Mid Penn Bancorp, Inc. data breach (2024) · DisclosureLens

All incidents View linkage analytics →

Incident · single filing

Mid Penn Bancorp, Inc.

One linked filing — more sources may join as they report · filed Mar 28, 2024. View entity profile → Other incidents for this victim →

incident inc_4fd5c454d2be4b37 · merge_method deterministic

Litigation Timing

Not recorded for this incident

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

SEC 10-K Item 1CConfirmedLifecycle stage 2 of 3: ConfirmedUnverified claimConfirmedEnforced

Affected (total reported)

—

Data types

—

Jurisdictions

FEDERAL

Linked filings

all SEC 10-K Item 1C

Timeline

Earliest sighting first · deep chronology in Litigation Timeline

FEDERALSEC 10-K Item 1CFirst filing
Filed Mar 28, 2024bd_44740fe288ab9d3f
Mid Penn Bancorp's 2023 Form 10-K Item 1C cybersecurity disclosure describes the company's cybersecurity risk management program, governance structure, and security tooling. The filing explicitly states Mid Penn did not experience a material cybersecurity incident affecting its computer systems or networks in 2023. No breach is disclosed.

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.