<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: ', IMSI , operator code , country , MCC-mobile country , SIM serial , operator name , and mobile number ) Upload wifi information ( e.g. , SSID , wifi speed , and MAC address ) Upload other information ( e.g. , display , date , time , fingerprint , created at , and updated at ) The app is capable of stealing messages from popular messaging apps by abusing the notification permissions to read the notification content and saving it to the database .' [/INST] [,:O, IMSI:O, ,:O, operator:O, code:O, ,:O, country:O, ,:O, MCC-mobile:O, country:O, ,:O, SIM:O, serial:O, ,:O, operator:O, name:O, ,:O, and:O, mobile:O, number:O, ):O, Upload:O, wifi:O, information:O, (:O, e.g.:O, ,:O, SSID:O, ,:O, wifi:O, speed:O, ,:O, and:O, MAC:O, address:O, ):O, Upload:O, other:O, information:O, (:O, e.g.:O, ,:O, display:O, ,:O, date:O, ,:O, time:O, ,:O, fingerprint:O, ,:O, created:O, at:O, ,:O, and:O, updated:O, at:O, ):O, The:O, app:O, is:O, capable:O, of:O, stealing:O, messages:O, from:O, popular:O, messaging:O, apps:O, by:O, abusing:O, the:O, notification:O, permissions:O, to:O, read:O, the:O, notification:O, content:O, and:O, saving:O, it:O, to:O, the:O, database:O, .:O] </s>