Article by Ayman Alheraki on January 11 2026 10:37 AM
When developing web applications, security is one of the most critical factors that determine the long-term success and stability of any system. With the wide variety of programming languages used in backend development, a common question arises: Which backend language is the weakest in terms of security?
In this article, we’ll review the most widely used backend programming languages and compare them in terms of built-in security, common vulnerabilities, and how prone they are to exploitation if best practices are not followed.
Originally designed to be simple and fast, with little focus on security.
Still used in many legacy projects that haven’t been updated in years.
Much of the code written in PHP lacks modern security practices.
SQL Injection
Cross-site Scripting (XSS)
Remote Code Execution
File Inclusion Vulnerabilities
Despite major improvements in modern frameworks like Laravel and Symfony, PHP still holds a poor security reputation, especially when used without strict adherence to secure coding principles.
Lack safe memory management.
Prone to critical errors such as buffer overflows and use-after-free.
Don’t provide built-in protections for common web-related vulnerabilities.
Stack Overflows
Memory Corruption
Arbitrary Code Execution
C/C++ are not recommended for backend web development unless performance is an absolute priority, in which case strict security measures must be enforced.
Heavy reliance on third-party packages (npm), some of which may contain vulnerabilities.
Developers are responsible for auditing dependencies and tracking security updates.
Poor coding practices can easily introduce security flaws.
Prototype Pollution
Insecure Deserialization
XSS via Template Engines
Using robust frameworks like NestJS and applying code scanning tools significantly improves security in Node.js environments.
Flask provides more freedom but requires manual implementation of security features.
Django includes strong defaults to protect against common threats like CSRF, SQL Injection, and XSS.
Python is generally secure when used correctly, and its security greatly improves when paired with well-structured frameworks.
Runs in a secure, sandboxed JVM environment.
Frameworks like Spring offer advanced security tools and detailed configuration options.
Widely used in finance and government sectors due to its security capabilities.
Vulnerabilities in outdated libraries.
Serialization flaws leading to remote code execution in some rare cases.
With proper implementation and updates, Java is one of the most secure choices for enterprise backend systems.
No use of unsafe pointers, reducing memory-related bugs.
Includes built-in tools for static analysis and security scanning.
Highly suitable for microservices and scalable web applications.
Go’s vulnerabilities are typically related to user input validation or external libraries, and are relatively rare.
Prevents memory errors through its ownership model.
Catches many bugs at compile time instead of runtime.
Disallows unsafe pointer access unless explicitly marked.
Vulnerabilities in Rust are rare and mostly limited to a few parts of the code written using unsafe blocks.
| Language | Default Security Level | Vulnerability Exposure | Security with Best Practices |
|---|---|---|---|
| PHP | Low | Very High | Medium |
| C/C++ | Very Low | Extremely High | Low |
| JavaScript (Node.js) | Medium | High | Good |
| Python | Good | Medium | Very Good (with Django) |
| Java | Very Good | Low | Excellent |
| Go | Excellent | Rare | Excellent |
| Rust | Exceptional | Very Rare | Highest Currently |
The security of your application doesn’t depend solely on the programming language, but also on how it’s used, the framework applied, and how strictly security practices are followed.
However, if you're looking for a language that offers strong protection against common vulnerabilities by design, Rust, Go, and Java provide the best options today in terms of default and structural security.
If you're using a language like PHP or C/C++, extra caution must be taken. Regular code reviews, vulnerability scanning, and strict adherence to secure coding practices are essential.