Signal · Supply Chain & Logistics
Cyber-crime group hits 38 shipping and port groups with data leak threat
What the source reported
Source-reported<p>Cyber extortion group ‘n0n’ has named 38 organisations across the global shipping and ports sector on its dark-web leak site, raising concerns that data may have been stolen.<br /> Cybersecurity firm SOCRadar reported yesterday n0n published the listings in a single batch on 12 October. They included container terminals, shipping lines, port IT providers, and logistics businesses across 18 countries.<br /> None of the maritime organisations named had publicly confirmed a breach at the ...</p> <p>The post <a href="https://theloadstar.com/cyber-crime-group-hits-38-shipping-and-port-groups-with-date-leak-threat/">Cyber-crime group hits 38 shipping and port groups with data leak threat</a> appeared first on <a href="https://theloadstar.com">The Loadstar</a>.</p>
- Publication
- The Loadstar · Trade Publication
- Published
- 14th October 2026
- Original report
- theloadstar.com
ProcIntel stores what the source published in its feed — a headline, a summary and a link. It does not store or reproduce the full article.
What ProcIntel recorded
ProcIntel-derived- Category
- Supply Chain & Logistics
- Geography
- UK
- Organisations
- None identified
- Collected
- 14th October 2026 · 14:47
Initial assessment ProcIntel's automatic, provisional read of this individual Signal -- Initial Significance and Initial Confidence, computed deterministically before any Event extraction or human review.
A provisional, automatically computed reading of this individual Signal, before Event extraction or human review. Not a final rating.
Initial Significance Low (18.0/100). Strongest contributor: Procurement Impact (6.0/30 points). Limiting factor: Likely Event Severity (3.0/30 points). Initial Confidence Low (26.5/100, data sufficiency: Partial). Strongest contributor: Source Authority (20.0/40 points). Limiting factor: Corroboration (2.5/25 points).
- Strongest contributor
- Procurement Impact
- Limiting factor
- Likely Event Severity