<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: 'For example : WireLurker installed malicious apps on non-jailbroken iPhones Six different Trojan , Adware and HackTool families launched “ BackStab ” attacks to steal backup archives of iOS and BlackBerry devices The HackingTeam ’ s RCS delivered its Spyware from infected PCs and Macs to jailbroken iOS devices and BlackBerry phones Recently , we discovered another Windows Trojan we named “ DualToy ” which side loads malicious or risky apps to both Android and iOS devices via a USB connection .' [/INST] [For:O, example:O, ::O, WireLurker:B-Malware, installed:O, malicious:O, apps:O, on:O, non-jailbroken:O, iPhones:O, Six:O, different:O, Trojan:O, ,:O, Adware:O, and:O, HackTool:B-Malware, families:I-Malware, launched:O, “:O, BackStab:O, ”:O, attacks:O, to:O, steal:O, backup:O, archives:O, of:O, iOS:B-System, and:O, BlackBerry:B-System, devices:O, The:O, HackingTeam:B-Malware, ’:O, s:O, RCS:B-Malware, delivered:O, its:O, Spyware:O, from:O, infected:O, PCs:O, and:O, Macs:O, to:O, jailbroken:O, iOS:B-System, devices:O, and:O, BlackBerry:B-System, phones:O, Recently:O, ,:O, we:O, discovered:O, another:O, Windows:B-System, Trojan:O, we:O, named:O, “:O, DualToy:B-Malware, ”:O, which:O, side:O, loads:O, malicious:O, or:O, risky:O, apps:O, to:O, both:O, Android:B-System, and:O, iOS:B-System, devices:O, via:O, a:O, USB:B-System, connection:O, .:O] </s>