Shadow fleet

Shadow Fleet

What is the Shadow Fleet?

The shadow fleet, also known as the dark fleet, refers to a group of tankers and support vessels that rely on deceptive shipping practices to move sanctioned or high-risk commodities while concealing their true origin, ownership, or destination. This ecosystem expanded rapidly following the start of the Russia-Ukraine war, giving rise to a new behavioral class: the gray fleet – vessels that exhibit Russia-linked risk indicators but are not formally sanctioned.

Windward’s gray fleet list reflects vessels with patterns associated with Russia-related activity, including ownership changes, irregular trading routes, or high-risk port sequences. These vessels are not automatically considered unsafe for commercial engagement; instead, their inclusion signals that additional verification, documentation checks, and due diligence may be required.

Placement in the gray fleet is dynamically modeled and based on behavior, not a legal determination. It evolves as vessels change ownership, adjust trading patterns, or exhibit new risk signals over time.

Key Takeaways

  • The dark fleet uses deceptive shipping practices (DSPs) to move sanctioned or high-risk oil and commodities.
  • The gray fleet is a behavior-based category, not automatically considered off-limits for business, indicating vessels that require heightened verification.
  • Dark fleet activity relies on dark AIS periods, fraudulent flags, location (GNSS) manipulation, and complex ownership structures.
  • These vessels drive compliance, financial, and operational risk for traders, insurers, and governments.
  • Detection requires Remote Sensing Intelligence, not AIS alone.

How the Shadow Fleet Emerged

The modern shadow fleet’s growth accelerated after the 2022 Russia–Ukraine war, when sanctions, price caps, and insurance restrictions created strong incentives for alternative logistics networks. While dark fleet activity has existed for years through sanctioned trades involving Iran, Venezuela, and DPRK, the post-invasion environment triggered the emergence of a new behavior category, the gray fleet. Together, the dark and gray fleets form what is now broadly referred to as the shadow fleet. As legitimate tanker pools exited Russia-linked trades, a parallel ecosystem began to form: vessels acquired through newly created offshore companies, tankers with opaque ownership records, and fleets operating outside traditional classification societies or P&I coverage.

As these vessels entered the market, the fleet expanded and evolved rapidly, moving from a few hundred ships to well over a thousand. To help the industry distinguish between legitimate vessels and those exhibiting dark fleet characteristics, and vessels that require deeper due diligence processes, Windward’s Maritime AI™ platform organizes global tankers into a three-tier model:

  • Cleared fleet:
    Vessels that show no indicators of deceptive behavior – stable ownership, consistent flag history, compliant routing, and clean documentation. These vessels are not part of the shadow fleet. The category exists to help organizations quickly separate normal activity from potential risk and avoid unnecessary false positives.
  • Gray fleet:
    A new phenomenon evolving from the Russia war
    . Windward’s gray fleet list reflects a set of vessels that exhibit behavioral indicators and patterns our models associate with Russia-relation. These vessels are not automatically considered off-limits for business. Instead, their inclusion signals that additional verification, documentation, and due diligence may be required as part of the user’s internal compliance processes. Placement in the gray fleet is based on dynamic, behavior-driven insights, including trading patterns, ownership changes, port calls, and other modeled risk factors, and does not represent a legal determination or sanctions status. Windward tracks 1,000+ gray fleet vessels globally.
  • Dark fleet:
    The core of the shadow fleet – vessels that deliberately hide activity through AIS-off behavior, identity manipulation, location spoofing, or covert ship-to-ship (STS) transfers. These tankers are central to opaque or sanctions-linked commodity flows. Windward has identified 1,000+ dark fleet vessels, and this number continues to evolve.

This layered structure explains how sanctions-linked oil continues to move at scale, distributing risk across vessel categories and creating persistent blind spots for regulators and market participants.

What Shadow Fleets Are Typically Used For

Shadow fleet vessels fall into two behavioral categories, each associated with different levels of risk:

Dark Fleet (High-Risk, Non-Cooperative Operations)

  • Transporting sanctioned crude, fuel oil, and refined products while operating AIS-off.
  • Conducting covert STS transfers in remote waters to obscure cargo origin. 
  • Using fraudulent flags, identity manipulation, and GNSS spoofing to evade oversight.
  • Supporting long-range smuggling networks, including sanctioned trades involving Russia, Iran, Venezuela, and DPRK.
  • Operating outside traditional insurers, financiers, and classification bodies. 

Gray Fleet (Behaviorally Suspicious but Not Formally Sanctioned)

  • Moving commodities linked to Russia-related trading patterns that require additional verification (e.g. coal, grain, petrochemicals).
  • Trading through newly formed offshore ownership structures designed to introduce ambiguity rather than outright concealment.
  • Conducting STS operations or routing patterns that are not overtly deceptive but inconsistent with pre-war behavior. 
  • Presenting layered corporate structures or frequent flag changes that require enhanced due diligence. 

These activities increase global compliance exposure and complicate maritime oversight.

What Tactics Do Dark Fleet Vessels Use to Avoid Detection?

TacticDescription
Dark activities (AIS-off)Turning off AIS during high-risk voyages or STS transfers.
Location (GNSS) manipulationSpoofing or falsifying GPS data to appear in compliant regions.
Fraudulent flags & flag hoppingClaiming false registrations or rapidly switching flags of convenience to evade scrutiny. 
Shell & weak ownership structuresLayered entities and opaque beneficial ownership
Identity manipulationReusing scrapped vessel identities (zombie vessels) or altering IMO/MMSI numbers.
Coordinated dark STS chainsMulti-ship rendezvous designed to obscure cargo origin or transfer history.

How the Shadow Fleet Puts Traders & Shippers at Risk

The dark fleet creates direct exposure for commodity traders, charterers, insurers, and financial institutions. These vessels often appear compliant on paper while masking deceptive activity, including identity laundering, dark STS chains, falsified documentation, and undeclared routing through sanctioned hubs.

Because the gray fleet includes vessels that are not sanctioned but exhibit Russia-related behavioral indicators, traders must determine whether engagement with a vessel introduces avoidable operational or regulatory risk. Even indirect involvement – such as a supply vessel, lightering partner, or STS counterpart – can contaminate a commercial transaction.

Key Commercial Risks

  • Letters of credit blocked due to opaque or misaligned movement histories.
  • Insurance invalidated by undeclared high-risk activity.
  • Cargo rejected when voyage documentation fails validation.
  • Reputational and regulatory exposure for unintentionally moving sanctioned oil.
  • Financial loss from detentions or diversion of cargo linked to gray or dark fleets.

What signals indicate a tanker may be part of a shadow fleet?

Irregular ownership changes, prolonged AIS gaps, routing through known shadow fleet corridors, and inconsistencies between voyage records and satellite detections are strong indicators that a vessel requires enhanced due diligence.

How can traders distinguish legitimate STS transfers from high-risk shadow fleet operations?

Legitimate STS events occur in designated zones with stable vessel identities. High-risk events typically align with AIS gaps, involve vessels with layered ownership, or occur in the open seas or along known shadow fleet corridors. Remote sensing technology, paired with behavioral analytics and AI, can highlight these differences.

How do traders avoid inadvertently chartering or financing a vessel linked to the shadow fleet?

Traders can reduce exposure by validating a vessel’s recent behavior against independent sensor data, reviewing ownership changes for red flags, and checking for inconsistent routing or undeclared STS events. Remote Sensing Intelligence verifies where the vessel actually operated, while Document Validation confirms whether voyage paperwork aligns with sensor-confirmed movements. Together, these checks help ensure a vessel is not quietly tied to gray or dark fleet activity before chartering or financing decisions are made.

Shadow Fleet Risks for Government & Defense

For governments, coast guards, and defense agencies, the dark fleet represents a strategic blind spot. These vessels enable sanctioned states and illicit networks to move revenue-generating commodities outside regulatory oversight, undermining embargoes, distorting global energy flows, and complicating maritime security. Because many dark-fleet vessels operate without AIS, use fraudulent flags, or rely on shell ownership structures, they exploit jurisdictional gaps and overwhelm manual monitoring processes.

Dark fleet activity also intersects with broader geopolitical concerns. Covert STS chains near chokepoints, concealed routing through EEZ boundaries, and identity-laundered tankers create ambiguity that can be leveraged for sanctions evasion, illicit financing, or strategic deception. For governments, the challenge is not just identifying these vessels – it is attributing their behavior confidently enough to act.

The Biggest Enforcement Challenges

Agencies face several obstacles when attempting to monitor or intercept dark fleet vessels:

  • AIS dependence creates blind spots when vessels disable transponders or spoof positions.
  • Fragmented jurisdiction slows coordinated enforcement across regions.
  • Shell ownership structures obscure accountability and hinder legal action.
  • Delayed or inconsistent reporting from partner states complicates real-time tracking.
  • Dark-fleet mobility allows vessels to quickly shift routes, registries, and operational patterns.

Remote sensing and behavior-based intelligence are increasingly required to fill these gaps and surface reliable, attribution-grade insight.

Why are dark fleets considered a national-security risk?

They enable sanctioned states and illicit actors to move revenue-generating commodities outside regulatory oversight, undermining embargo enforcement and fueling conflict financing.

How do dark fleets complicate maritime border protection and stability?

These vessels conceal identity and intent, increasing collision risk, complicating interdictions, and masking smuggling activity inside sensitive maritime zones.

What makes dark fleet activity difficult for governments to regulate or interdict?

Shadow fleet tankers exploit gaps in jurisdiction, operate far from ports where inspections occur, and rely on opaque ownership structures that slow coordination between regional authorities. This creates enforcement delays that illicit operators can exploit.

Shadow fleet

How Maritime Technology Tracks Shadow Fleet Activity

Detecting the shadow fleet requires far more than AIS tracks or manual screening. These vessels operate specifically to evade traditional monitoring, using identity laundering, fraudulent flag claims, location (GNSS) manipulation, and opaque ownership trails designed to fracture the data picture. Maritime technology platforms bring these fragments back together.

For the dark fleet, detection depends on multi-sensor confirmation. Modern intelligence systems combine Remote Sensing Intelligence, behavioral analytics, ownership intelligence, and voyage reconstruction to reveal patterns that shadow fleet operators attempt to hide. Instead of flagging every AIS gap, platforms distinguish meaningful risk signals, such as vessels that only go dark near sanctions corridors, tankers whose claimed identity doesn’t match sensor detections, or ships that repeatedly appear in multi-vessel STS clusters.

By correlating detections across SAR, EO, RF, AIS, corporate registries, and historical behavior, maritime intelligence platforms turn shadow-fleet tactics into identifiable signatures. The result is explainable, verifiable vessel classification, which is essential when operators change flags, ownership, and identifiers at speed.

For the gray fleet, technology supports enhanced due diligence rather than immediate risk attribution. These vessels are not overtly deceptive, but their ownership, routing, or documentation patterns require deeper verification. Remote Sensing Intelligence provides the independent visibility needed to confirm where gray fleet vessels actually operated, ensuring their behavior aligns with declared routes and port calls. Document Validation then compares voyage paperwork with sensor-verified activity, revealing gaps, omissions, or inconsistencies that may otherwise appear compliant. Together, these tools streamline the additional review gray fleet vessels require, helping organizations distinguish legitimate activity from emerging Russia-linked risk patterns. 

Technology Layers Used to Track the Shadow Fleet

Technology LayerWhat It RevealsWhy It Matters for Shadow Fleet Detection
Automatic Identification System (AIS)Declared identity, intent, and routing.Highlights gaps, mismatches, or patterns inconsistent with reported trades.
Synthetic Aperture Radar (SAR)Physical vessel presence in any weather.Confirms AIS-off voyages and reveals dark activity in sanctions corridors.
Electro-Optical (EO)Visual identity, deck layout, and STS positioning.Verifies vessel type, detects covert STS transfers, and confirms cargo-side behavior. 
Radio Frequency (RF)Radar and communication emissions.Detects non-cooperative ships operating without AIS or under false identity. 
Behavioral AnalyticsRisk patterns, recurrence, and routing anomalies.Translates signals into explainable shadow fleet risk indicators.
Ownership & Corporate IntelligenceBeneficial ownership, changes, and shell structures.Exposes identity laundering, weak ownership, and Russia-linked networks.
Document ValidationAlignment between paperwork and verified movement.Reveals fraudulent declarations, mismatched port calls, or concealed origins. 

Together, these layers transform fragmented data into a reliable operational picture, something AIS alone cannot achieve.

How does technology differentiate between normal AIS gaps and dark fleet dark activity?

AIS gaps are evaluated in context: location, timing, historical patterns, proximity to STS hotspots, and whether other sensors detected the vessel during the gap. Shadow fleet vessels show repeated, strategically timed gaps aligned with sanctions-linked corridors.

How can AI detect shadow fleet behavior, such as flag fraud or GNSS spoofing?

By analyzing anomalies in routing, registry changes, sensor mismatches, and timing patterns across AIS, SAR, EO, and RF data.

How does multi-sensor fusion help investigate vessels within the gray fleet?

Multi-sensor fusion resolves conflicts between declared and detected behavior, enabling models to flag vessels with Russia-linked risk patterns that require deeper verification.

Which datasets are essential to building accurate shadow fleet risk models?

AIS, SAR, EO, RF, ownership intelligence, behavioral history, port records, corporate hierarchies, risk typologies associated with sanctioned oil flows, and Document Validation datasets that compare declared voyage information against sensor-verified movements.

How Windward Helps Organizations Identify & Manage Shadow Fleet Risk

Windward gives organizations the awareness needed to spot shadow fleet exposure early. Instead of relying on AIS or paperwork alone, the platform verifies vessel behavior through multi-sensor intelligence and behavioral analytics.

Remote Sensing Intelligence confirms what vessels are actually doing at sea. SAR detects tankers operating with AIS off. EO imagery validates positioning during STS events. RF emissions reveal dark vessels present in high-risk zones.

Behavioral analytics connect these signals to patterns, highlighting repeated AIS gaps, irregular ownership changes, high-risk routing, and activity consistent with Russia-linked flows. This helps users understand which vessels require deeper checks before engagement.

Document Validation adds the final layer, comparing voyage documents with sensor-verified movements to uncover concealed origins or misaligned cargo histories.

Windward’s Maritime AI™ ties everything together, giving traders, compliance teams, and insurers a clear view of exposure before cargo is moved, financed, or insured.

Book a demo to see how Windward brings shadow-fleet risk into focus and strengthens every critical decision.