The lines between sanctioned and non-sanctioned shipping have blurred. Once limited to rogue actors, deceptive shipping practices such as AIS spoofing, dark ship-to-ship (STS) transfers, and dark port calls are now creeping into mainstream operations, putting even non-sanctioned vessels under regulatory scrutiny.
According to Kpler's latest analysis, these behaviors are no longer just signal evasion—they're exposure vectors. Ships operating following patterns of sanctioned actors or in known high-risk zones with AIS discrepancies can inherit compliance risk through geography, timing, and cargo networks, even if their activities appear legitimate on the surface. This flows directly from OFAC’s risk-based expectations for maritime stakeholders, which single out location data manipulation, STS, and opaque ownership as red-flag behaviours to monitor across the transaction lifecycle.
The traditional model rested on clear boundaries: sanctioned vessels operated in one sphere, legitimate vessels in another, and compliance meant ensuring you didn't cross that line. Today's reality is far more complex and far more dangerous for the unwary.
The old paradigm was straightforward. Governments designated specific vessels under sanctions programs. Compliance teams checked transactions against sanctions lists—OFAC's SDN list, the EU's consolidated list, UN sanctions lists. If your counterparty wasn't listed, you proceeded. If listed, you blocked the transaction.
This binary approach worked when sanctions evasion networks were distinct from legitimate commerce. Today, risk exists on a spectrum. Between clearly sanctioned vessels and those with impeccable records lies a vast gray zone populated by:
This gray zone has expanded dramatically. Kpler's data shows deceptive shipping practices surging not just among obviously illicit operators but across a broader swath of the global fleet. Ships that would never have been considered high-risk five years ago now exhibit concerning behavior.
Why the expansion? Russia-related measures catalysed the rapid growth of a large ‘shadow fleet’ moving Russian oil, materially expanding enforcement exposure across global trades. This scale required mobilizing significant shipping capacity, pulling vessels from legitimate trades into gray-zone operations. Price differentials for sanctioned commodities remain substantial—a single voyage carrying sanctioned cargo might generate profits equal to months of legitimate operations.
Over the past year (August 2024–July 2025), dark STS transfers surged sharply, overtaking other indicators of deceptive activity, while AIS spoofing remained persistently high. Even dark port calls—vessels with closed AIS while entering or leaving harbors—continue to appear in satellite imagery.
The sharp increase in dark STS transfers reflects adaptation to improved detection. As AIS-based surveillance became more sophisticated, evasion networks shifted tactics. Rather than risk spoofing detection, operators simply turn off AIS during critical operations—loading, transferring, or discharging cargo.
The geographic concentration shows strategic thinking. Vessels rendezvous in specific zones repeatedly—areas outside Singapore's port limits, waters off Malaysia, the Laconian Gulf off southern Greece (documented as a recurrent STS congregation area for Russian oil during 2023–2024), and regions off West Africa. These zones offer deep water for safe operations, distance from territorial surveillance, and proximity to shipping lanes.
Despite the rise in dark operations, AIS spoofing hasn't declined—it remains persistently high. This suggests operators use whichever approach best suits each specific situation. This tactical flexibility makes detection harder because compliance systems must monitor for multiple distinct evasion signatures rather than a single predictable pattern.
Modern sanctions evasion typically involves shell company structures, flag hopping, management complexity across different entities, and documentation manipulation. These tactics combine with AIS manipulation and dark operations to create comprehensive evasion packages that require equally sophisticated compliance approaches to detect.
What was once a binary question—"Is the vessel sanctioned or not?"—has evolved into layered risk assessment across six dimensions:
A vessel might score low risk on sanctions status but accumulate moderate-to-high risk across other dimensions, justifying enhanced due diligence or declining the transaction despite not being sanctioned.
The risk is no longer just about what a vessel does—it's about who and where it operates with. A legitimate tanker anchoring near deceptive STS activity or shadow fleet hubs can still trigger due-diligence flags.
When regulators investigate a sanctions evasion incident, they examine all vessels in the vicinity. Satellite imagery showing multiple vessels near a dark STS transfer leads investigators to scrutinize all those vessels. Even if your vessel was conducting legitimate bunkering while nearby ships engaged in cargo transfers, your vessel enters the investigative record.
These adjacency risks have real consequences:
Simply put, deceptive behavior is contagious in terms of risk perception and regulatory treatment. The maritime industry operates on networks of relationships—once one participant faces compliance issues, everyone connected to them faces heightened scrutiny.
Perhaps most concerning is how legitimate operators can inadvertently acquire risk. A vessel conducting legitimate bunkering near illicit transfers, using an agent that also serves shadow fleet vessels, or loading cargo whose origin was obscured through complex transfer chains can find itself embroiled in investigations despite no intentional wrongdoing.
To manage this landscape, compliance teams must move beyond static screening toward behavior-based risk assessment.
Static screening—checking vessels against sanctions lists at the transaction point—remains necessary but insufficient. By the time a vessel appears on a sanctions list, it's too late. Contracts may already be signed, cargo in transit, financial exposure locked in.
Behavior-based risk assessment identifies vessels likely to be sanctioned before formal designation. This means integrating patterns such as:
Kpler's research shows that treating deceptive behaviors as exposure vectors enables earlier detection and smarter mitigation. Instead of reacting to sanctions after the fact, traders, insurers, and operators can forecast risk trajectories and make informed decisions before enforcement strikes.
Predictive compliance provides multiple advantages:
The shift requires concrete organizational changes:
While compliance is often viewed as cost and constraint, sophisticated predictive compliance creates competitive advantages:
The vessels that will be sanctioned next quarter are likely exhibiting concerning behaviors today. The ownership structures that will face enforcement next year are probably being established now. The cargo chains that will unravel under regulatory scrutiny are currently in motion.
Organizations using predictive compliance can see these risks approaching. Those relying on reactive compliance will discover them too late. In an industry measured in billions of dollars of capital and working across complex global networks, the difference between predictive and reactive compliance is the difference between sustainable success and costly crisis management.
The gray zone between clearly sanctioned and clearly compliant will continue expanding. But within that gray zone, sophisticated analysis can discern patterns, predict trajectories, and guide sound decisions. The tools exist, the data is available, and the methodologies are proven. What's required now is organizational commitment to implementing predictive compliance as core business capability.
In maritime operations, as in navigation, the greatest dangers are those unrecognized until too late. Behavioral risk indicators provide early warning—the equivalent of radar detecting hazards beyond visual range. The choice is whether to invest in that radar or sail without it, discovering risks only when collision is unavoidable.


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