Amphastar Pharmaceuticals, Inc. reported a data breach to the Montana Attorney General. The breach was reported on 2020-08-28. The breach occurred from 5/2/2020 to 7/24/2020. 2 Montana residents were affected.
Affected (this filing): 2
Clustered 2 filings across 2 jurisdictions · filed Aug 28, 2020. View entity profile → Other incidents for this victim →
incident inc_2cc42490fa364342 · 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
May 2, 2020
When the intrusion reportedly occurred, per the linked filings
Jul 24, 2020
Reported by CALIFORNIA AG filing
Amphastar Pharmaceuticals, Inc. reported a data breach to the Montana Attorney General. The breach was reported on 2020-08-28. The breach occurred from 5/2/2020 to 7/24/2020. 2 Montana residents were affected.
Affected (this filing): 2
Amphastar Pharmaceuticals, Inc. disclosed a ransomware incident occurring on May 2, 2020, discovered on July 24, 2020. Legacy data (approx. 15 years old) containing names and Social Security Numbers was posted on the internet. The attack was contained, backups were used, and no ransom was paid. 24 months of credit monitoring via Experian was offered.
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.