Credit Sesame Inc reported a data breach to the Indiana Attorney General. The breach occurred on 2025-01-27 and was reported on 2025-04-14. 1 Indiana residents were affected. 220 individuals affected in total.
Affected (this filing): 220
Clustered 2 filings across 2 jurisdictions · filed Apr 14, 2025. View entity profile → Other incidents for this victim →
incident inc_f60f05ae1f8b422d · merge_method deterministic · confidence 100%
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.
Identity (basic) · Credentials
IN VT
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
Jan 27, 2025
When the intrusion reportedly occurred, per the linked filings
Credit Sesame Inc reported a data breach to the Indiana Attorney General. The breach occurred on 2025-01-27 and was reported on 2025-04-14. 1 Indiana residents were affected. 220 individuals affected in total.
Affected (this filing): 220
Credit Sesame, Inc. notified consumers of unauthorized account access involving suspicious log-in activity. The incident potentially exposed names and credentials. Credit Sesame secured accounts, investigated, and enhanced security controls. Affected individuals were offered complimentary credit monitoring through Experian. The notification was filed with the Vermont Attorney General on April 14, 2025.
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.