Currently, digital images are very significant because they are the primary information carriers. However, the simplicity of image manipulation makes their authenticity vulnerable. Different methods could be used to forge images, but the copy-move forgery, in which a portion of an image is duplicated and moved to another location within the same image, is the most popular. A fundamental flaw in the SVM method was that it was unable to classify the original and altered images separately. To get around this, the ORB algorithm is used as a feature extraction approach on photos that have been subjected to various geometric attacks in order to find the fabricated portions of the image. The recommended method, when evaluated with images from the different databases, has a higher accuracy rate thanks to procedures like preprocessing and feature matching to detect fabricated regions.