Von Housen Management Inc. reported a data breach to the Montana Attorney General. The breach was reported on 2023-07-03. The breach occurred on 1/18/2023. 2 Montana residents were affected.
Affected (this filing): 2
Clustered 2 filings across 2 jurisdictions · filed Jul 3, 2023. View entity profile → Other incidents for this victim →
incident inc_c0f60ab4fc8e4394 · merge_method deterministic · confidence 100%
Discovered → first regulatory filing
Time between earliest and latest filing
Not recorded for this incident
Discovery variance · Leak precedence · Materiality delta · SEC filing delay — no leak-site claim in this cluster; no SEC 8-K in this cluster; needs two dated filings.
CA MT
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
Jan 18, 2023
When the intrusion reportedly occurred, per the linked filings
Jan 18, 2023
Reported by CALIFORNIA AG filing
Von Housen Management Inc. reported a data breach to the Montana Attorney General. The breach was reported on 2023-07-03. The breach occurred on 1/18/2023. 2 Montana residents were affected.
Affected (this filing): 2
Von Housen Management Inc. discovered unauthorized activity in an email account on January 18, 2023. An investigation revealed an unauthorized actor accessed files and stored data within the account. The breach window is listed as January 18 to February 9, 2023. Affected data includes names and other personal information. The company secured the email tenant, engaged cybersecurity experts, and is offering credit monitoring.
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.