Social networks are being leveraged by cyber-criminals to cover a wider range of victims. In Twitter, spammers create several bots and behave in different patterns according to their desired aims. Particularly, spammers can spread malicious links leading to malware or phishing sites. Achievable by engaging in social bonds or responding to trending topics (hashtags). Spammers either spam in an individual manner, otherwise in coordinated communities with a clear insight. Decidedly, reinforcing cyber-security in Twitter is an indispensable fact. Several researchers have been studying the different aspects of spamming in Twitter. This paper includes a background over the information handled in Twitter, and a detailed survey over the papers dealing with the spam issue. The discussed papers have been published from 2010 to 2018. In contrast to other surveys, this paper is not limited to the detection of spammers but it also discusses the approaches to the detection of spam communities, compromized accounts, collective attention spam, and the extraction of cybercrime knowledge. Hence, this study can be considered as an essential step for the design of a unified spam detection framework.