Python is for script kiddies!

Do not use python for malware.

There are several reasons to not use Python for malware development. Firstly, Python is an interpreted language, meaning it requires a separate interpreter to execute the code. This introduces a significant overhead, making the malware easier to detect and analyze. Moreover, Python’s sizeable standard library and relatively slow execution speed make it less than ideal for developing stealthy and efficient malware.

speed -> slow

Also can not do real concurrency at all

speed —> super extra slow with multiple tasks

Additionally, Python’s source code is human-readable, which allows security experts to easily understand and dismantle it.

So what do you use?

Rust and Go are two modern programming languages that offer several advantages for malware development, although their use for such purposes is still highly unethical.

Performance: Rust and Go are compiled languages, which means that their code is converted to native machine code before execution. This results in faster execution times and better performance compared to interpreted languages like Python.

Concurrency: Both Rust and Go have strong support for concurrency and parallelism. Go’s lightweight goroutines and Rust’s fearless concurrency model allow for the efficient execution of multiple tasks simultaneously, which can be advantageous for malware that requires complex and multi-threaded operations.

Memory safety: Rust is designed with a focus on memory safety, which can help malware developers avoid common bugs and vulnerabilities that could be exploited by security researchers. Rust’s ownership and borrowing system helps prevent memory leaks and data races, making it harder for analysts to uncover the malware’s inner workings.

Static binaries: Both Rust and Go can produce static binaries, which bundle all required dependencies into a single executable. This makes it easier for malware to be distributed and executed on a target system without requiring additional libraries or runtime environments.

Cross-platform compatibility: Rust and Go can be easily compiled for different platforms, including Windows, Linux, and macOS. This allows malware developers to create cross-platform payloads that can target a wider range of systems.

Obfuscation: Rust and Go can generate machine code that is more challenging to reverse-engineer compared to human-readable Python code. This can make it harder for security analysts to dissect and understand the malware’s functionality.

<-if you are looking for a partner to discuss malware with dm me->

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