Midjit Market, Inc. dba Green Valley Grocery reported a data breach to the Montana Attorney General. The breach was reported on 2023-01-13. The breach occurred from 7/6/2022 to 1/6/2023. 2 Montana residents were affected.
Affected (this filing): 2
Clustered 2 filings across 2 jurisdictions · filing window Jan 13, 2023 → Jan 16, 2023. View entity profile → Other incidents for this victim →
incident inc_b0ed13af74cc4b3d · merge_method human · 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.
ME MT
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
Jul 6, 2022
When the intrusion reportedly occurred, per the linked filings
Jan 6, 2023
Reported by MAINE AG filing
Midjit Market, Inc. dba Green Valley Grocery reported a data breach to the Montana Attorney General. The breach was reported on 2023-01-13. The breach occurred from 7/6/2022 to 1/6/2023. 2 Montana residents were affected.
Affected (this filing): 2
Midjit Market, Inc. (dba Green Valley Grocery) reported a phishing incident on 07/06/2022, discovered 01/06/2023, affecting 2,916 individuals. Data compromised included names and Social Security Numbers. The entity provided 12 months of credit monitoring and identity theft protection via TransUnion to affected consumers.
Affected (this filing): 2,916
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.