Methods and apparatus for detecting and preventing obfuscated cyberattacks using machine learning techniques

A method, comprising:

• detecting a call configured to be executed by an operating system;
• preventing the call from being executed;
• converting the call into a numerical form in a vector data structure;
• classifying, after converting the call and via a machine learning model, the call into an obfuscation category;
• and
• preventing the operating system from executing of the call when the obfuscation category indicates that the call is part of a cybersecurity attack.

A non-transitory computer-readable medium comprising code which, when executed by a processor, cause the processor to:

• interrupt, via the processor, a command line configured to be executed by an operating system;
• extract at least one string pattern from the command line, the string pattern having vector data structure;
• classify the at least one string pattern, via a machine learning model trained to classify the at least one string pattern into an obfuscation category;
• and
• prevent the operating system execution of the command line when the obfuscation category indicates that the at least one string pattern is part of a cybersecurity attack.