Clustered 2 filings across 2 jurisdictions · filing window Feb 24, 2017 → Feb 27, 2017. View entity profile → Other incidents for this victim →
incident inc_e2f6ce9972934d77 · merge_method deterministic · confidence 100%
Discovered → first regulatory filing
Range of discovered_at dates across filings
OR WA
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.
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
Feb 1, 2016 → Dec 3, 2016
When the intrusion reportedly occurred, per the linked filings
Nov 1, 2016
Reported by OREGON AG filing
Feb 6, 2017
Reported by WASHINGTON AG filing
Mrs Prindables, a business sector entity reported a malware incident to the Washington Attorney General. The organization became aware of the incident on 2017-02-06 and filed notice on 2017-02-24. 784 Washington residents were affected. 18 days elapsed between awareness and notification. 346 days to identify the breach. 0 days to contain the breach.
Affected (this filing): 784
Mrs Prindables reported a data breach to the Oregon Attorney General. The breach was reported on 2017-02-27. The breach occurred during 2/1/2016 - 12/3/2016. The breach was discovered on 11/1/2016. 0 individuals were affected. Notice was sent on 3/3/2017.
Affected (this filing): 0
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.