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With the rapid development of cloud computing and network virtualization, distributed networks in cloud network fusion environments are more complex and massive than ordinary networks, making it difficult to ensure the recall rate of intrusion path tracking in distributed networks under cloud network fusion. Therefore, a distributed network intrusion path tracking and detection method is proposed in cloud network fusion environments. Combining the characteristics of distributed networks in cloud network fusion environments, a distributed network model is constructed, After converting network data flow information into a unified format, intrusion information feature factors are used to achieve tracking and detection of intrusion paths. In the test results, the F-1 value was consistently greater than 0.85, which was significantly better than the control group and had higher comprehensive performance.