Native-code analysis is the examination of compiled machine code to understand what a program does at the instruction level. Unlike source review, it works on binaries: stripped executables, libraries, firmware, and malware samples where original code may be unavailable. Analysts use it to reconstruct control flow, identify functions, and spot risky operations such as unsafe memory handling, command execution, or weak input validation.
This matters in cyber security because many real attacks target software after compilation, when source is hidden and defenses must be inferred from behavior. In defense work, native-code analysis supports reverse engineering, malware triage, vulnerability research, and patch verification. It helps answer practical questions: Can this binary reach the vulnerable path? Is the flaw still present in the shipped build? Can an attacker trigger it reliably? Strong native-code analysis speeds discovery, but it must be paired with runtime testing and context to prove real exploitability.