Image forensics has become a critical field in the digital age, particularly with the increasing prevalence of digital image manipulation. One of the most common forms of digital image forgery is copy-move forgery, where a portion of an image is copied and pasted within the same image to conceal or alter certain elements. This type of manipulation can be difficult to detect, especially when sophisticated editing techniques are employed, making it essential to develop effective methods for identifying such tampering. This paper explores leveraging image forensics techniques to detect and identify copy move forgery in digital images.