<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: 'The “ id ” value inside the “ data ” block is equal to the “ timestamp ” value of the relevant command : In addition , the Trojan sets itself as the default SMS application and , on receiving a new SMS , forwards the sender ’ s number and the message text in base64 format to the cybercriminal : Thus , Asacub can withdraw funds from a bank card linked to the phone by sending SMS for the transfer of funds to another account using the number of the card or mobile phone .' [/INST] [The:O, “:O, id:O, ”:O, value:O, inside:O, the:O, “:O, data:O, ”:O, block:O, is:O, equal:O, to:O, the:O, “:O, timestamp:O, ”:O, value:O, of:O, the:O, relevant:O, command:O, ::O, In:O, addition:O, ,:O, the:O, Trojan:O, sets:O, itself:O, as:O, the:O, default:O, SMS:O, application:O, and:O, ,:O, on:O, receiving:O, a:O, new:O, SMS:O, ,:O, forwards:O, the:O, sender:O, ’:O, s:O, number:O, and:O, the:O, message:O, text:O, in:O, base64:O, format:O, to:O, the:O, cybercriminal:O, ::O, Thus:O, ,:O, Asacub:B-Malware, can:O, withdraw:O, funds:O, from:O, a:O, bank:O, card:O, linked:O, to:O, the:O, phone:O, by:O, sending:O, SMS:O, for:O, the:O, transfer:O, of:O, funds:O, to:O, another:O, account:O, using:O, the:O, number:O, of:O, the:O, card:O, or:O, mobile:O, phone:O, .:O] </s>