<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Example of using native code for obfuscation Examples of using string concatenation for obfuscation Example of encrypting strings in the Trojan Asacub distribution geography Asacub is primarily aimed at Russian users : 98 % of infections ( 225,000 ) occur in Russia , since the cybercriminals specifically target clients of a major Russian bank .' [/INST] [Example:O, of:O, using:O, native:O, code:O, for:O, obfuscation:O, Examples:O, of:O, using:O, string:O, concatenation:O, for:O, obfuscation:O, Example:O, of:O, encrypting:O, strings:O, in:O, the:O, Trojan:O, Asacub:B-Malware, distribution:O, geography:O, Asacub:B-Malware, is:O, primarily:O, aimed:O, at:O, Russian:O, users:O, ::O, 98:O, %:O, of:O, infections:O, (:O, 225,000:O, ):O, occur:O, in:O, Russia:O, ,:O, since:O, the:O, cybercriminals:O, specifically:O, target:O, clients:O, of:O, a:O, major:O, Russian:O, bank:O, .:O] </s>