The increasing dominance of Android smartphones for everyday communication and data processing makes long-term stealthy malware an even more dangerous threat. Several optimisation measures for the JIT-MF tools are presented, considering the typical resource constraints of Android devices. Experimentation offers insight into identifying categories of trigger points that can strike a balance between the effort required for selection and the resulting effectiveness and storage costs. Our study identifies that JIT-MF is successful in dumping critical data objects on time, providing evidence that eludes all other forensic sources. The effectiveness and cost of trigger point selection, a cornerstone of this framework, are evaluated in a preliminary qualitative study using Telegram and Pushbullet as the victim apps targeted by stealthy malware. The main components of this framework are i) Identification of critical data objects in memory linked with critical benign application steps that may be misused by an attacker and ii) Careful selection of trigger points, which identify when memory dumps should be taken during benign app execution. In this paper, we present a novel generalised framework, JIT-MF ( Just-in-time Memory Forensics ), which aims to address the problem of timely collection of short-lived evidence in volatile memory to solve the stealthiest of Android attacks. One way attackers do this is by leveraging critical benign app functionality to carry out specific attacks.

Attackers regularly target Android phones and come up with new ways to bypass detection mechanisms to achieve long-term stealth on a victim’s phone.

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