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PyCharm – Cross-platform Python IDE with code inspections available for analyzing code on-the-fly in the editor and bulk analysis of the whole project. PyDev – Eclipse-based Python IDE with code analysis available on-the-fly in the editor or at save time. Pylint – Static code analyzer. Quite stringent; includes many stylistic warnings as ...
Dynamic program analysis is the act of analyzing software that involves executing a program – as opposed to static program analysis, which does not execute it. Analysis can focus on different aspects of the software including but not limited to: behavior , test coverage , performance and security .
Static analysis can be done manually as a code review or auditing of the code for different purposes, including security, but it is time-consuming. [7] The precision of SAST tool is determined by its scope of analysis and the specific techniques used to identify vulnerabilities. Different levels of analysis include:
The use of analytical methods to inspect and review source code to detect bugs or security issues has been a standard development practice in both open source and commercial software domains. [1] This process can be accomplished both manually and in an automated fashion.
Dynamic analysis tools: These tools analyze the behavior of a software application while it is running, to identify defects or vulnerabilities that may not be apparent in the source code. Dynamic analysis tools can be used to detect issues related to performance, memory usage, and security.
Coverity is a proprietary static code analysis tool from Synopsys.This product enables engineers and security teams to find and fix software defects. Coverity started as an independent software company in 2002 at the Computer Systems Laboratory at Stanford University in Palo Alto, California.
OWASP pytm is a Pythonic framework for threat modeling and the first Threat-Model-as-Code tool: The system is first defined in Python using the elements and properties described in the pytm framework. Based on this definition, pytm can generate a Data Flow Diagram (DFD), a Sequence Diagram and most important of all, threats to the system.
Volatility is an open-source memory forensics framework for incident response and malware analysis. It is written in Python and supports Microsoft Windows, Mac OS X, and Linux (as of version 2.5 [1]). Volatility was created by Aaron Walters, drawing on academic research he did in memory forensics. [2] [3]