Cyber-Attacks are constantly increasing and can prove difficult to mitigate, even with proper cybersecurity controls. Currently, cyber threat intelligence (CTI) efforts focus on internal threat feeds such as antivirus and system logs. While this approach is valuable, it is reactive in nature as it relies on activity which has already occurred. CTI experts have argued that an actionable CTI program should also provide external, open information relevant to the organization. By finding information about malicious hackers prior to an attack, organizations can provide enhanced CTI and better protect their infrastructure. Hacker forums can provide a rich data source in this regard. This research aims to proactively identify mobile malware and associated key authors. Specifically, we use a state-of-The-Art neural network architecture, recurrent neural networks, to identify mobile malware attachments followed by social network analysis techniques to determine key hackers disseminating the mobile malware. Results of this study indicate that many identified attachments are zipped Android apps made by threat actors holding administrative positions in hacker forums. Our identified mobile malware attachments are consistent with some of the emerging mobile malware concerns as highlighted by industry leaders.