Many attacks change a running program’s control flow. Such attacks include return-oriented programming, return to libc, library injection, etc. These attacks modify the running code and can achieve virtually any behavior while preserving the attacked software execution permissions. Thus, an attacker can run any code with full execution permissions by successfully implementing a control-flow attack on a server. Control-flow inspection examines the control flow of a running process. If an abnormal control flow is detected, its root cause is determined. The root cause may be a software bug or an attack. An automated control-flow inspection mechanism may allow a security analyst to detect an attack promptly before the attacker causes significant damage to the protected system. There are multiple systems for offline (static) control-flow inspection. For example, security analysts can use memory dumps obtained by software such as LiME using a memory analyzer such as Volatility. However, offline introspection is very limited, as obtaining the memory dump for analysis consumes time, which may harm production systems for long periods. Therefore, in practice, only a few samples are taken and analyzed, which may be too little and too late. We propose a hypervisor-based approach for online introspection (dynamic analysis) of the control flow in compiled binaries. Our system can detect Return-Oriented Programming (ROP) and other control-flow hijacking attacks when the source code is unavailable. We present the design of our system and analyze its effectiveness and efficiency.