Background: The progression of malware is on upsurge lately. The architects of malware make it robust and sheath such that it becomes untraceable while running and hence users fall-prey for these malicious software. These malicious software programs developed by attackers are polymorphic and metamorphic which have the capability to alter their code as they propagate. Methods: The existing malware detection and prevention tools need to be enhanced when it comes to these newly developed malwares. So, to prevent this we take a generic approach that integrates the methods and tools which already exist in order to detect the malware with utmost accuracy and efficiency. Findings: The survey on this paper gives a picture to make use of Op-Code frequency and n-gram for feature extraction and efficient way for detecting malware incase gets on to the system by any means. Different authors claim that they five the best results by increasing the true positives and decreasing the False positive rates. Application: Dynamic and Hybrid methods can be used to detect known and unknown malwares.