What are some common issues in dynamic analysis?

What are some common issues in dynamic analysis?

Some common issues in dynamic analysis include performance overhead, false positives, and environment setup challenges.

Can you explain what performance overhead means?

Performance overhead refers to the additional resources and time required to run dynamic analysis tools, which can slow down the application.

How can I reduce false positives in my analysis?

To reduce false positives, you can fine-tune your analysis tools, use more accurate heuristics, and regularly update your signatures.

What are some best practices for setting up the environment?

Best practices include using isolated environments, ensuring all dependencies are met, and simulating real-world conditions.