Python security, reverse engineering, and obfuscation techniques.
Python decompilers like pylingual and pycdc reconstruct source from bytecode. Here's how they work and why Nyami's output stops them cold.
String encryption is table stakes for Python obfuscation. Real protection requires a multi-layered approach. Here's why a single technique won't stop a determined analyst.
An honest feature-by-feature comparison between Nyami and PyArmor, covering obfuscation depth, anti-tamper, pricing, and ecosystem fit.
White-box cryptography assumes the attacker has full visibility into the implementation. Here's how it applies to Python obfuscation and why Nyami uses AES-256-GCM in a white-box context.
Python crackers use debuggers to step through bytecode at runtime. Nyami detects and responds to 11 different debugging techniques. Here's what each one targets and how it works.
Signature-based detection is the first tool antivirus engines and malware analysts use against obfuscated code. Polymorphic builds defeat it by ensuring no two outputs are structurally identical.
Understanding your adversary's tools is the first step in building effective protection. Here's what crackers use to attack Python applications and how Nyami counters each technique.