Clustered 2 filings across 2 jurisdictions · filing window Jul 9, 2024 → Dec 16, 2024. View entity profile → Other incidents for this victim →
incident inc_8f427496aca04605 · merge_method human · confidence 100%
Gap between first leak claim and first regulatory filing
Time between earliest and latest filing
Not recorded for this incident
Discovery variance · Materiality delta · SEC filing delay — no SEC 8-K in this cluster; needs two dated filings.
MT
Leak Site · State AG
Earliest sighting first · deep chronology in Litigation Timeline
Jun 14, 2024
When the intrusion reportedly occurred, per the linked filings
FPL Food LLC reported a data breach to the Montana Attorney General. The breach was reported on 2024-07-09. The breach occurred on 6/14/2024. 1 Montana residents were affected.
Affected (this filing): 1
<p><mark class="marker-yellow"><strong>11.02.2025 UPDATE! 100% Disclosed 21GB >> Download link #2<\/strong><\/mark><\/p><p>Food & Beverage.<br><br>“FPL Food, LLC is the largest privately held vertically integrated beef processor in the Southeastern United States and is one of the largest privately held processors of fresh beef products and value added meat selections in the United States. The Company has four facilities, and serves several brands reaching retail and foodservice customers. The Company delivers beef products locally and exports worldwide.”<br><br>Website: <a href="https://fplfood.com/">https://fplfood.com/<\/a><br><br>Revenue : $675M<br><br>Address: 1301 New Savannah Rd, Augusta, Georgia, 30901, United States<br><br>Phone Number: (706) 722-2694<br><br><mark class="marker-yellow"><strong>Download link #1:<\/strong><\/mark> <a href="https://6wuivqgrv2g7brcwhjw5co3vligiqowpumzkcyebku7i2busrvlxnzid.onion/FPLFOOD/PROOF/">https://6wuivqgrv2g7brcwhjw5co3vligiqowpumzkcyebku7i2busrvlxnzid.onion/FPLFOOD/PROOF/<\/a><br><br><mark class="marker-yellow"><strong>Mirror:<\/strong><\/mark> <a href="https://cactus5dqnqkppa5ayckiyk6dttpqwczdqphv5mxh4dkk5ct544q5aad.onion/FPLFOOD/PROOF/">https://cactus5dqnqkppa5ayckiyk6dttpqwczdqphv5mxh4dkk5ct544q5aad.onion/FPLFOOD/PROOF/<\/a><\/p><p><mark class="marker-yellow"><strong>Download link #2:<\/strong><\/mark> <a href="https://6wuivqgrv2g7brcwhjw5co3vligiqowpumzkcyebku7i2busrvlxnzid.onion/FPLFOOD/full/">https://6wuivqgrv2g7brcwhjw5co3vligiqowpumzkcyebku7i2busrvlxnzid.onion/FPLFOOD/full/<\/a><\/p><p><mark class="marker-yellow"><strong>Mirror:<\/strong><\/mark> <a href="https://cactus5dqnqkppa5ayckiyk6dttpqwczdqphv5mxh4dkk5ct544q5aad.onion/FPLFOOD/full/">https://cactus5dqnqkppa5ayckiyk6dttpqwczdqphv5mxh4dkk5ct544q5aad.onion/FPLFOOD/full/<\/a><br><br><mark class="marker-yellow"><strong>DATA DESCRIPTIONS:<\/stro
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.