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  1. Jan 31, 2021 · Code compiled using pyinstaller or py2exe is often incorrectly to be malware or a virus or a trojan by various antivirus programs. It can often have scary names like Trojan:Win32/Wacatac.C!ml...

  2. Dec 6, 2023 · In this article, you learned about the risks of code injection in Python and why you need to follow secure coding rules. Code injection can happen in many forms, but when armed with the right knowledge and tools like Snyk, you can reduce those dangers.

  3. Write and run your Python code using our online compiler. Enjoy additional features like code sharing, dark mode, and support for multiple programming languages.

    • Always sanitize external data. One vector of attack for any application is external data, which can be used for injection, XSS, or denial of service (DOS) attacks.
    • Scan your code. Developers have a wide array of static code analysis tools at their disposal for maintaining Python security. Let’s take a look at three different levels of tools.
    • Be careful when downloading packages. It is easy to install packages, but they’re also an easy way to introduce Python security vulnerabilities. Typically, developers use the standard package installer for Python (pip) which uses the Python Pack Index (PyPI).
    • Review your dependency licenses. When considering using an open source project, it is important to understand how these projects are licensed. Open source projects are free and available to use, but there may still be terms and conditions applied.
  4. Aug 1, 2023 · Learn the essential Python security best practices to safeguard your code and data from potential threats, ensuring data protection, system integrity, and building trust.

  5. Aug 11, 2020 · OWASP's Python Security project has identified three angles: Security in Python (white-box analysis, functional analysis), Security of Python (black-box analysis), and Security with Python (develop security-hardened Python).

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  7. Jun 10, 2022 · The best way to avoid insecure Python code is to systematically analyze the code before it is deployed in production. To do so, you need to configure your CI/CD pipeline and add new steps that analyze the code and flag insecure code.