Image splicing can easily be used for illegal activities, which could have a negative impact on society. Therefore, we propose an image splicing detection algorithm based on a deformable large kernel attention network. First, a hybrid structure encoder is used to extract local and global features in the spliced image. Then a deformable large kernel attention module is designed, which we add to the hybrid structure encoder and skip connection respectively. And finally a decoder is used to reconstruct the features obtained from the hybrid structure encoder and the features received through skip connections to obtain the prediction mask at the original resolution size. A large number of experiments show that the method proposed in this article can accurately locate the splicing area, which is significantly better than other state-of-the-art methods.