Clustered 2 filings across 2 jurisdictions · filed Feb 1, 2022. View entity profile → Other incidents for this victim →
incident inc_b0b89a15d7d049b7 · merge_method deterministic · confidence 100%
Discovered → first regulatory filing
Range of discovered_at dates across filings
Identity (basic) · Credentials
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.
CA ME
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
Dec 5, 2021 → Dec 6, 2021
When the intrusion reportedly occurred, per the linked filings
Dec 6, 2021
Reported by CALIFORNIA AG filing
Jan 13, 2022
Reported by MAINE AG filing
Pellissippi State Community College experienced a ransomware attack on December 5-6, 2021. The attacker accessed an Active Directory database containing names, usernames, emails, hashed passwords, and other identifiers for students, faculty, and staff. The college notified law enforcement, enhanced security, and provided 12 months of free credit monitoring via TransUnion to affected individuals.
Pellissippi State Community College experienced an external system breach (hacking) on December 6, 2021, discovered on January 13, 2022. Approximately 206,000 individuals were affected, including 41 Maine residents. The college notified affected individuals electronically on February 1, 2022, and offered 12 months of credit monitoring through TransUnion.
Affected (this filing): 206,000
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.