AppSec for Python

Python security with Snyk

From your first line of code to your last pip dependency, Snyk keeps your Python applications secure right from your IDE, CLI, and Git workflows.

Find and fix Python vulnerabilities fast

Snyk secures vulnerabilities in your Python code and pip libraries right from your IDE, Git repos, and CLI.

Integrate your environments

Run Snyk in your CLI, or seamlessly integrate with your IDE and Git repos.

Scan for Python vulnerabilities

Snyk continuously monitors your apps for vulnerabilities in real time.

Fix quickly and move on

Apply in-line security fixes in your IDE or merge suggested fix PRs.

Comprehensive Python security coverage

Snyk supports your favorite Python package managers, frameworks, libraries, and IDEs.

Python security built into your environments

By building security scanning and fix advice into your CLI, IDE, and Git repos, developers can move faster and security teams spend less time on low level reviews.


Find and fix Python code, open source libraries, and container vulnerabilities in your projects and pipelines.


Scan your Python code in real-time and get AI-powered, in-line fix suggestions directly in your favorite IDEs, including Visual Studio Code and Eclipse.

Git repos

Ship secure Python code with Snyk’s PR vulnerability checks, one-click fixes, and continuous monitoring.

Learn about the top Python vulnerabilities

Based on Snyk’s scan data, the average Python project has 36 vulnerabilities. Learn about the top Python code and open source vulnerabilities that are most likely to appear in your projects based on Snyk scan results and security research.

Python security lessons

Learn how to secure your applications against common Python vulnerabilities via interactive, self-paced lessons.

Python security resources

Check out our cheat sheets and blogs for best practices for keeping your Python projects secure.

Comprehensive security coverage across languages

Snyk supports your favorite languages, so you can secure your applications throughout the SDLC.


How safe is Python?

Python is not inherently unsafe, but it is possible for developers to introduce vulnerabilities to their Python code if they are not experienced with security in the language, or are working without the help of security tools like Snyk.

Examples of Python vulnerabilities

Python vulnerabilities include server-side request forgery, broken access control, open redirect and more. To learn more about Python vulnerabilities and how to fix them, check out Snyk Learn.

How can Snyk help secure Python?

Snyk scans your Python applications for vulnerabilities in real time and provides suggested fix advice for quick remediation. 

What Python vulnerabilities can Snyk identify?

Snyk can identify Python code, open source libraries, and container vulnerabilities. Examples of Python vulnerabilities include cross-site scripting, SQL injection, and insecure hash.

Where does Snyk fit into your Python workflow?

Snyk integrates easily in your existing tools and workflows throughout the SDLC, including the CLI, IDE, Git repos, and container registries. Snyk supports Python IDEs including PyCharm, Visual Studio Code, and Eclipse, so you can find and fix Python vulnerabilities in-line with suggested fix advice. Snyk integrates with your favorite SCMs to provide continuous repo monitoring, PR scans, and suggested fix PRs. 

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Snyk is a developer security platform. Integrating directly into development tools, workflows, and automation pipelines, Snyk makes it easy for teams to find, prioritize, and fix security vulnerabilities in code, dependencies, containers, and infrastructure as code. Supported by industry-leading application and security intelligence, Snyk puts security expertise in any developer’s toolkit.

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