The versatility of leading editing tools, access to the internet and technological advancement have led to a sudden rise in visual forgery, resulting in manipulation, tampering and fabrication of content or information. The digital divide in affordable access and infrastructure led to prominent innovation and challenges. The visual forgery gives rise to challenges or threats to multimedia data's trustworthiness and integrity, which requires robust detection and prevention methods. This paper reviews existing approaches and techniques to authenticate and identify fabricated images and videos. In addition to this, technological advancements in deep learning and computer vision have led to the development of better algorithms. Mitigating visual forgery problems requires a multidisciplinary approach combining traditional forensics technologies, machine learning and ethical consideration.