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澜沧江—湄公河流域犯罪威胁评估报告:电信网络诈骗犯罪形势分析之六(趋势研判与情景分析)

作者:admin    发布日期:2026/8/11 11:52:06    来源:澜湄执法合作中心
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1

关键变量:三类因素共同塑造未来

不可控变量包括人工智能迭代速度和地缘政治冲突;半可控变量包括区域合作深度、稳定性及域外因素;可控变量包括国内执法强度、反洗钱和电子取证投入以及法律更新。不同变量的组合将影响电诈犯罪治理及其发展趋势。



2

趋势研判:技术赋能推动持续升级

深度伪造、实时语音合成和自动化脚本可能成为标准配置。通过分析泄露数据和网络行为,犯罪集团还可能预测个体在特定时间、场景下的脆弱状态,并据此发起“预测性”精准攻击。



3

空间与生态:“固化”“液化”并存

核心犯罪节点可能在治理相对有限的地区进一步“堡垒化”;外围团伙则转向公寓、别墅等分散场所,形成快速迁移的“游牧式”模式。与此同时,内部竞争加剧,侵害范围和人员招募继续全球化。



4

情景分析:三种路径对应不同结果

悲观情景下,技术滥用、治理投入下降和合作失效,可能使犯罪演化超过治理能力;乐观情景下,制度化合作和关键技术应用将提高犯罪成本;最可能出现的仍是“高强度拉锯”与“动态僵持”。

战略前瞻——区域电信网络诈骗生态未来情景演变路径



5

情景转换:关键在于制度驱动型合作

从“动态僵持”迈向“有效遏制”,关键在于把危机驱动型合作转化为制度驱动型合作,通过联合行动、关键洗钱通道打击和能力建设积累互信。治理疲劳或合作受阻,则可能使风险滑向区域失序。

下一期将介绍区域治理与协作建议,并结合报告总结与展望,提出从案件打击迈向犯罪生态治理的路径。敬请关注。

英 文 摘 要

English Abstract

This chapter transforms static assessment into dynamic, forward-looking strategic analysis, examining possible trajectories through key exogenous variables, major future trends, scenario analysis, and the conditions governing transitions between scenarios.



1

Key Variables: Three Categories of Factors Jointly Shape the Future

Uncontrollable variables include the pace of AI iteration and geopolitical conflicts; semi-controllable variables cover the depth and stability of regional cooperation as well as extraterritorial factors; controllable variables consist of domestic law enforcement intensity, investment in anti-money laundering and digital forensics, and legal updates. Different combinations of these variables will shape the future scenarios of telecom and online fraud.



2

Trend Assessment: Technology Empowerment Drives Continuous Escalation

Deepfakes, real-time voice synthesis, and automated scripts are expected to become standard tools. By analyzing leaked data and online behavior, criminal syndicates may also predict individuals’ vulnerability at specific times and scenarios, thereby launching “predictive” precision attacks.



3

Spatial and Ecological Dynamics: “Solidification” and “Liquefaction” Coexist

Core criminal nodes may become further “fortified” in areas with weak governance; peripheral groups are shifting to dispersed locations such as apartments and villas, adopting a “nomadic” model of rapid relocation. At the same time, internal competition is intensifying, and both the scope of victimization and personnel recruitment continue to globalize.



4

Scenario Analysis: Three Pathways Lead to Different Outcomes

Under a pessimistic scenario, technology abuse, declining governance investment, and failed cooperation could allow criminal evolution to outpace governance capacity. Under an optimistic scenario, institutionalized cooperation and the application of key technologies would raise the cost of crime. The most likely outcome remains a “high-intensity tug-of-war” and “dynamic stalemate.”

Strategic Foresight: Future Scenario Pathways for the Regional Telecommunications and Online Fraud Ecosystem



5

Scenario Transition: The Key Lies in Institutionalized Cooperation

Moving from dynamic standoff toward effective containment requires transforming crisis-driven cooperation into institution-driven cooperation through joint operations, disruption of major laundering channels, and sustained capacity building. Governance fatigue or disrupted cooperation could instead push risks toward regional disorder.

The next installment will present the report's governance and collaboration recommendations and outline the pathway from case-based crackdowns to criminal ecosystem governance. Stay tuned.



稿件来源 | 《澜沧江-湄公河流域犯罪威胁评估报告:电信网络诈骗犯罪形势分析(2025)》

Source | Lancang-Mekong Regional Crime Threat Assessment: Analysis of Telecommunications and Online Fraud Trends (2025)

编辑 | 黄焕然、刘海瑞

Edited by | Huang Huanran, Liu Hairui

版面设计 | 林熙、韩枭一

Art and Layout by | Lin Xi, Han Xiaoyi

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