PyCQA/bandit
Bandit
Bandit is a static analysis security testing tool and vulnerability detection scanner for Python source code. It functions as a security-focused linter and static analyzer that identifies common vulnerabilities and architectural flaws without executing the program.
The tool utilizes an abstract syntax tree to analyze code patterns and identifies risky function calls or insecure configurations. It employs a plugin-based rule engine to decouple scanning logic from individual security checks and supports configuration-driven filtering to exclude specific files or ignore certain warnings.
The system processes source files through a static analysis pipeline that includes parsing and node visiting to detect weaknesses. After scanning, it generates detailed security reports summarizing the identified flaws.
Features
- Source Code Vulnerability Scanning - Scans Python source code for security vulnerabilities and coding flaws before deployment.
- Vulnerability Detection - Identifies risky function calls and insecure configurations in Python projects to prevent exploits.
- Vulnerability Scanners - Identifies potential security risks and insecure coding practices by matching code patterns against known weaknesses.
- Static Analysis Security Testing - Analyzes source code without execution to find security vulnerabilities through a specialized SAST approach.
- AST Security Analyzers - Analyzes the abstract syntax tree of Python programs to identify insecure patterns and architectural flaws.
- Rule-Based Plugin Systems - Employs a rule-based plugin system to decouple the scanning engine from individual security check definitions.
- Static Analysis Engines - Provides a static analysis engine that scans source code to identify potential security vulnerabilities.
- Code Linters - Functions as a security-focused linter that identifies problematic patterns in Python source code.
- Secure Coding Practices - Helps maintain secure coding practices by automating the detection of vulnerabilities during development.
- Security Detection Logic - Uses a sophisticated logic engine combined with plugins to detect common security weaknesses in source code.
- Security Report Generation - Generates detailed summaries and exports of identified security flaws after scanning project files.
- AST Node Visitation - Traverses abstract syntax trees using visitor patterns to match specific structural patterns for security validation.
- Configuration-Driven Rules - Uses configuration files to dictate which files are scanned and which security warnings are ignored.
- Syntax Tree Analysis - Implements techniques for parsing and comparing code using abstract syntax trees to detect security patterns.
- Code Analysis - Listed in the “Code Analysis” section of the Awesome Python awesome list.
- Code Analysis and Quality - Security-focused linter for finding common vulnerabilities.
- Code Security - Finds common security issues in source code.
- Sicherheit und Härtung - Tool for identifying common security issues in source code.
- Sicherheit und Datenschutz - Security-focused static analysis for Python code.
- Static Analysis - Finds common security issues within source code.
