Clustered 2 filings across 2 jurisdictions · filed Nov 4, 2022. View entity profile → Other incidents for this victim →
incident inc_3540034036ac4a9f · merge_method deterministic · confidence 100%
Discovered → first regulatory filing
Range of discovered_at dates across filings
Government ID · Identity (basic)
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 NH
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
May 18, 2022 → May 23, 2022
When the intrusion reportedly occurred, per the linked filings
May 18, 2022
Reported by NEW HAMPSHIRE AG filing
Sep 1, 2022
Reported by MAINE AG filing
Trustees of Amherst College reported an external system breach (hacking) occurring between May 18 and May 23, 2022, discovered on September 1, 2022. The incident affected 365 individuals, including 1 Maine resident. Acquired information included names and Social Security Numbers. The organization provided written notification and offered identity theft protection services.
Affected (this filing): 365
Trustees of Amherst College notified the NH Attorney General of a phishing incident where unauthorized actors accessed employee email accounts between May 18-23, 2022. The breach exposed PII, including SSNs and financial data, of 11 New Hampshire residents. Amherst secured accounts, engaged forensic investigators, and offered 1 year of credit monitoring.
Affected (this filing): 11
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.