Snyk Top 10 Python Code Vulnerabilities
Read the reportAppSec 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.
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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.
CLI
Find and fix Python code, open source libraries, and container vulnerabilities in your projects and pipelines.
IDE
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 PyCharm.
Git repos
Ship secure Python code with Snyk’s PR vulnerability checks, one-click fixes, and continuous monitoring.
Start securing your Python apps
Find and fix Python vulnerabilities with Snyk for free.
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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.
Snyk Top 10 Python OSS Vulnerabilities
Read the reportPython 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.
Find and fix Python vulnerabilities
Secure your applications with Snyk’s vulnerability scanning and fix advice.
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By using Snyk, you agree to abide by our policies, including our Terms of Service and Privacy Policy.
Perguntas frequentes
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.