Clustered 2 filings across 2 jurisdictions · filing window Jan 30, 2024 → Feb 5, 2024. View entity profile → Other incidents for this victim →
incident inc_78b64212185c4d00 · 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.
IN NH
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
Nov 16, 2023
When the intrusion reportedly occurred, per the linked filings
Nov 16, 2023
Reported by NEW HAMPSHIRE AG filing
Krystal BioTech, Inc reported a data breach to the Indiana Attorney General. The breach occurred on 2023-11-16 and was reported on 2024-01-30. 4 Indiana residents were affected. 598 individuals affected in total.
Affected (this filing): 598
Krystal BioTech, Inc. reported a targeted data security incident on November 16, 2023, involving unauthorized access via a third party. The breach impacted personal information of approximately 7 New Hampshire residents, including employees. Krystal engaged forensic specialists, notified law enforcement, reset passwords, and offered credit monitoring services.
Affected (this filing): 7
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.