<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: 'XLoader can also load multiple malicious modules to receive and execute commands from its remote command-and-control ( C & C ) server , as shown below : Here ’ s a list of the modules and their functions : sendSms — send SMS/MMS to a specified address setWifi — enable or disable Wi-Fi connection gcont — collect all the device ’ s contacts lock — currently just an input lock status in the settings ( pref ) file , but may be used as a screenlocking ransomware bc — collect all contacts' [/INST] [XLoader:B-Malware, can:O, also:O, load:O, multiple:O, malicious:O, modules:O, to:O, receive:O, and:O, execute:O, commands:O, from:O, its:O, remote:O, command-and-control:O, (:O, C:O, &:O, C:O, ):O, server:O, ,:O, as:O, shown:O, below:O, ::O, Here:O, ’:O, s:O, a:O, list:O, of:O, the:O, modules:O, and:O, their:O, functions:O, ::O, sendSms:O, —:O, send:O, SMS/MMS:O, to:O, a:O, specified:O, address:O, setWifi:O, —:O, enable:O, or:O, disable:O, Wi-Fi:O, connection:O, gcont:O, —:O, collect:O, all:O, the:O, device:O, ’:O, s:O, contacts:O, lock:O, —:O, currently:O, just:O, an:O, input:O, lock:O, status:O, in:O, the:O, settings:O, (:O, pref:O, ):O, file:O, ,:O, but:O, may:O, be:O, used:O, as:O, a:O, screenlocking:O, ransomware:O, bc:O, —:O, collect:O, all:O, contacts:O] </s>