Clustered 2 filings across 1 jurisdiction · filed May 16, 2024. View entity profile → Other incidents for this victim →
incident inc_46f43ee531224094 · merge_method deterministic · confidence 100%
Discovered → first regulatory filing
Range of discovered_at dates across filings
Identity (basic) · Government ID
Time between earliest and latest filing
Not recorded for this incident
Leak precedence · Materiality delta · SEC filing delay — no leak-site claim in this cluster; no SEC 8-K in this cluster.
ME
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
Mar 10, 2023
When the intrusion reportedly occurred, per the linked filings
Apr 5, 2024
Reported by MAINE AG filings
MERS Missouri Goodwill Industries reported an external system breach (hacking) that occurred on March 10, 2023. The breach was discovered on April 5, 2024. The incident affected 2 Maine residents, compromising their names and Social Security numbers. Affected individuals were notified on May 9, 2024, and offered identity theft protection services.
Affected (this filing): 2
MERS Missouri Goodwill Industries reported a data breach to the Maine Attorney General, stating that an external system breach (hacking) occurred on March 10, 2023. The breach was discovered on April 5, 2024, and affected 2 Maine residents. The compromised information included names and driver's license or non-driver identification card numbers. Affected individuals were notified on May 9, 2024, and offered identity theft protection services.
Affected (this filing): 2
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.