This paper explores the techniques and methods of analyzing tampered or fake images. Along With the increasing prevalence of digital image manipulation, there is a growing need for reliable methods to detect and verify the authenticity of digital images. The paper first discusses the various types of image tampering, including splicing, copy-move, and retouching. It then explores the different techniques used to analyze and detect each type of tampering. Where it goes with detailed information on two tools that are used for tampering forensically - Beta and Foto-Forensics with different types of image samples like social media, WhatsApp, and Normal images from phones or cameras along with filters or the features of the tool like clone detection, Error level analysis, Noise analysis, Luminance Gradient, etc, It also examines the limitations associated with analyzing tampered or fake images, such as the availability of ground truth data, limited accuracy, limited scope, and the computational complexity of some techniques.