Semmle
Semmle is an automated code analysis platform used to detect security vulnerabilities and quality issues in software code. It can analyze codebases written in multiple languages like Java, C, C++, C#, JavaScript, and Python.
security
vulnerability-scanning
static-analysis
code-quality
Semmle: Automated Code Analysis Platform for Security & Quality
Automated code analysis platform detecting security vulnerabilities and quality issues in software code written in multiple languages
What is Semmle?
Semmle is an automated code analysis platform that helps teams find and fix security vulnerabilities and quality issues in software code. It uses deep semantic code analysis combined with machine learning algorithms to detect hundreds of varieties of vulnerabilities and bugs in software codebases.
Some key capabilities and features of Semmle include:
- Detects security flaws like SQL injections, cross-site scripting, arbitrary code execution etc.
- Finds quality issues like null pointer dereferences, resource leaks, concurrency issues.
- Supports analysis of codebases in languages like Java, C, C++, C#, JavaScript, Python.
- Integrates seamlessly with CI/CD pipelines for continuous code analysis.
- Provides intuitive dashboards to track software quality and security over time.
- Enables prioritization of issues based on exploitability and impact.
Overall, Semmle brings advanced automation and AI to the process of analyzing large and complex codebases for security and quality, thereby enabling developers to code more securely.
Semmle Features
Features
- Code query language (QQL) to search codebases
- Detects security vulnerabilities like SQL injections, XSS, etc
- Identifies code smells and bugs
- Integrates with CI/CD pipelines
- Supports multiple languages like Java, C, C++, C#, JavaScript, Python
- Provides graphical query explorer interface
- Generates customizable code analysis reports
Pricing
- Subscription-Based
Pros
Finds security flaws and bugs early in development
Easy to write custom queries with QQL
Scales to analyze large codebases
Great for ensuring code quality and standards
Cons
Can have a steep learning curve
Limited language support compared to other tools
Requires expertise to interpret results and write custom queries
Official Links
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