Sinkholes, also known as network sinkholes, are a type of attack that can disrupt and exploit vulnerabilities in computer networks. They are malicious entities that divert or intercept network traffic, often with the intent to gather sensitive information or disrupt communication. This paper provides an in-depth exploration of sinkholes and examines various detection techniques employed to identify and mitigate their impact on network security. The paper reviews several prevalent types of sinkholes, including DNS sink holes, IP sinkholes. Also this paper provides various detection techniques like signature-based, Anamoly based and Machine learning-based. By synthesizing existing knowledge and presenting novel insights, this paper aims to contribute to the ongoing discourse on network security. It equips network administrators and cybersecurity professionals with the knowledge and tools necessary to safeguard against sinkhole threats and protect their networks from malicious actors.