Genesis Energy L.P. reported a data breach to the Montana Attorney General. The breach was reported on 2023-06-30. The breach occurred on 6/1/2023. 10 Montana residents were affected.
Affected (this filing): 10
Clustered 2 filings across 2 jurisdictions · filed Jun 30, 2023. View entity profile → Other incidents for this victim →
incident inc_b64b20c89cdc4752 · 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.
ME MT
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
Jun 1, 2023
When the intrusion reportedly occurred, per the linked filings
Jun 1, 2023
Reported by MAINE AG filing
Genesis Energy L.P. reported a data breach to the Montana Attorney General. The breach was reported on 2023-06-30. The breach occurred on 6/1/2023. 10 Montana residents were affected.
Affected (this filing): 10
Genesis Energy, L.P. experienced a data breach impacting 31 Maine residents after a vulnerability in a third-party software was exploited. The breach occurred on May 30, 2023, and was discovered on June 1, 2023. The compromised information included names and Social Security Numbers. Affected individuals were notified on June 30, 2023, and offered 36 months of identity theft protection services through NortonLifeLock.
Affected (this filing): 31
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.