Clustered 2 filings across 2 jurisdictions · filed Oct 13, 2021. View entity profile → Other incidents for this victim →
incident inc_cc323d2f668f4fd3 · 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.
CA ME
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
Mar 13, 2021 → Apr 9, 2021
When the intrusion reportedly occurred, per the linked filings
Apr 9, 2021
Reported by MAINE AG, CALIFORNIA AG filings
PetroQuest Energy LLC reported an external system breach (hacking) occurring between March 13, 2021, and April 9, 2021. The incident compromised the names and Social Security Numbers of 17,588 individuals, including 17 Maine residents. Notification was sent on October 15, 2021, offering 12 months of credit monitoring through Equifax.
Affected (this filing): 17,588
PetroQuest Energy LLC reported a cybersecurity incident discovered on April 9, 2021, involving unauthorized access to its systems between March 13 and April 9, 2021. The breach potentially exposed landowner PII, including Social Security Numbers and W-9 forms, from the Quorum database. PetroQuest engaged forensic investigators, enhanced security controls (MFA, firewalls, EDR), and offered 12 months of credit monitoring to affected individuals.
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.