Python is the backbone for countless applications because it’s versatile and easy to use. However, there’s a downside to this popularity—Python has vulnerabilities that make it a favorit target for attackers. Explore how to protect Python code and how Kiuwan’s code security tools can make the job easier.
Python packages and source code can be just as vulnerable to attacks and security breaches as any other coding language. One notable example was unearthed in October 2024 and continues to be a dilemma for cybersecurity professionals at the time of writing.
Researchers discovered a malicious Python package masquerading as a cryptocurrency trading tool. While it looks innocuous on the surface, it has the hidden functionality of draining assets from the victim’s crypto wallet and stealing sensitive data such as passwords, sensitive financial information, and more.
Cybersecurity experts are still looking for ways to prevent this malicious Python code and others like it from harming users and potentially draining bank accounts. However, because it looked like just another crypto trading tool, it could take months to properly address.
This recent incident indicates a growing trend where Python packages and source code are used as vehicles for attackers. For developers, the challenge is identifying these threats before they can harm users—and this is unlikely to be the last time we hear of this type of attack. Code canning tools like Kiuwan provide real-time insights and detect vulnerabilities before they become attacks.
Security breaches in Python are nothing new. Some of the most common security risks associated with it are similar to those you may find in any other programming language, but they’re evolving. The most common issues include:
Using code obfuscation techniques for your Python-based applications makes it more challenging for hackers and the decompiling tools they use to understand. However, it should also go beyond simply renaming your code.
Using an automated code obfuscation tool like Dotfuscator or DashO allows you to add multiple layers of protection directly to your Python code. Techniques like control flow obfuscation deter attackers by introducing false conditional statements and misleading constructs.
Taking the steps to use a code signing certificate ensures that your Python code is authentic and hasn’t been altered or tampered with since it was signed. This makes it easier for users and systems to verify that your Python code is authentic and has integrity so you can establish trust with them.
Encrypting user strings and other sensitive information allows you to more easily hide them within your assembly. That way, attackers won’t be able to use that information to find sensitive source code that may be lurking nearby and inject their own Python scripts into it.
Open-source dependencies are a double-edged sword—they help developers write code faster, but they introduce risks and potentially expose your application to known vulnerabilities. Using code from trusted libraries and scanning it with the software composition analysis (SCA) tools from Kiuwan makes it easier to identify vulnerabilities and provide recommendations for patching vulnerable components and their dependencies.
This goes back to the risks involved with privilege escalation. By allowing more users than necessary to have admin-level privileges, more people can access your source code and tamper with it directly. Paired with a phishing attack that compromises the wrong user’s account, it could be disastrous for keeping your user data safe and secure.
By using the principle of least privilege, you can reduce the amount of damage an attack could do by barring access to your source code to only the individuals who require it.
There are plenty of reasons to compile your Python files into bytecode. Because it’s a simpler language, this makes it easier for your application to perform well. It also makes it more challenging for attackers to engage with your code directly.
This is one of the most essential ways to protect Python source code. While there are plenty of ways to protect your Python code directly, prevention is always the best method for keeping your application safe. Consider implementing password and username requirements, multi-factor authentication, and other forms of user input sanitization to prevent hackers from using an unsuspecting account’s information.
Securing your Python code—or any other type of code in your software—takes tools that are powerful and easy to use. Kiuwan provides a comprehensive suite of tools to address these high-level code security challenges. Here are some of the methods it uses:
Kiuwan allows your team to easily visualize your application’s risk profile, prioritize how to address vulnerabilities, and take immediate action to secure your code.
Take control of your application security and build safer, more reliable software with Kiuwan’s powerful tools. Request a free demo today to witness how Kiuwan can protect your application security in any language you need.
