Datasets:
Sampath1987
/
RE_data_train

Dataset card Data Studio Files
xet
Community
2
text
stringlengths
597
1.55k
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('Use secure methods for authentication', 'Russian state'), entity_labels:('COURSE_OF_ACTION', 'CAMPAIGN'), possible_labels:No [/INST] counters </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('block malicious emails sent by threat actors as part of their campaign', 'Rhysida'), entity_labels:('COURSE_OF_ACTION', 'MALWARE'), possible_labels:No [/INST] counters </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('The site also claimed to include the names , addresses and phone numbers of top CEOs', "Bradshaw 's lawyer and wife"), entity_labels:('INTRUSION_SET', 'VICTIM_IDENTITY'), possible_labels:target [/INST] target </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('ongoing cyberespionage campaign', 'online video game companies'), entity_labels:('CAMPAIGN', 'VICTIM_IDENTITY'), possible_labels:target [/INST] target </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('Foudre', 'Tonnerre'), entity_labels:('MALWARE', 'MALWARE'), possible_labels:uses,variant,m_controls [/INST] controls </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('as well', 'US'), entity_labels:('VICTIM_IDENTITY', 'LOCATION'), possible_labels:located [/INST] located </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('operation targeting', 'commercial communications company Viasat'), entity_labels:('ATTACK_PATTERN', 'VICTIM_IDENTITY'), possible_labels:target [/INST] target </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('manipulate in - game currency , such as " runes " or " gold , " that can in many cases be converted into real currency', "the Winnti gang 's campaign"), entity_labels:('ATTACK_MOTIVATION', 'CAMPAIGN'), possible_labels:No [/INST] motive </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('hacktivist activity', 'Ukraine'), entity_labels:('INTRUSION_SET', 'VICTIM_IDENTITY'), possible_labels:target [/INST] target </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('This model is flexible and enables the operators to constantly change how their backdoors retrieve further commands or malcode as needed', 'Duqu'), entity_labels:('MALWARE_ANALYSIS', 'MALWARE'), possible_labels:m_analysis,characterizes [/INST] m_analysis </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('Zarya', 'Ukrainian organizations'), entity_labels:('THREAT_ACTOR', 'VICTIM_IDENTITY'), possible_labels:target [/INST] target </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('automatically blocks potentially dangerous sites and tests suspicious sites before users access them', 'Rhysida'), entity_labels:('COURSE_OF_ACTION', 'MALWARE'), possible_labels:No [/INST] counters </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('Targeted attacks', 'government agencies'), entity_labels:('INTRUSION_SET', 'VICTIM_IDENTITY'), possible_labels:target [/INST] target </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('probably " hosted on different servers over time', 'Lazarus'), entity_labels:('INDICATOR', 'THREAT_ACTOR'), possible_labels:i_indicate [/INST] i_indicate </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('Sandworm Team', 'SSH server.[34'), entity_labels:('THREAT_ACTOR', 'INFRASTRUCTURE'), possible_labels:target,uses,compromise,controls [/INST] uses </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('TIEDYE', 'proxy_socks4a'), entity_labels:('MALWARE', 'INFRASTRUCTURE'), possible_labels:target,uses,exfiltrates,communicate [/INST] uses </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('highfidelity threat intelligence and a proactive security stance', 'threat actors'), entity_labels:('COURSE_OF_ACTION', 'THREAT_ACTOR'), possible_labels:No [/INST] counters </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('attackers', 'They used their unauthorized access to obtain digital certificates'), entity_labels:('THREAT_ACTOR', 'ATTACK_PATTERN'), possible_labels:uses [/INST] uses </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('highfidelity threat intelligence and a proactive security stance', 'ransomware'), entity_labels:('COURSE_OF_ACTION', 'ATTACK_PATTERN'), possible_labels:No [/INST] counters </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('Static Kitten', 'entities in the sectors of tourism and academia'), entity_labels:('THREAT_ACTOR', 'VICTIM_IDENTITY'), possible_labels:target [/INST] target </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('Tortoiseshell', 'Syskit'), entity_labels:('THREAT_ACTOR', 'MALWARE'), possible_labels:uses,controls [/INST] uses </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('using known virus signatures to determine if a computing interaction suggests virus installation or malware delivery across the network', 'adversary'), entity_labels:('COURSE_OF_ACTION', 'THREAT_ACTOR'), possible_labels:No [/INST] counters </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('the group', 'facilitate supply chain attacks on their clients'), entity_labels:('THREAT_ACTOR', 'ATTACK_MOTIVATION'), possible_labels:motive [/INST] motive </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('Russia - nexus activity', 'OT'), entity_labels:('INTRUSION_SET', 'INFRASTRUCTURE'), possible_labels:target,uses,compromise,controls [/INST] target </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('Properly configure firewalls and proxies to limit outgoing traffic to only necessary ports for that particular network segment', 'PoetRAT'), entity_labels:('COURSE_OF_ACTION', 'MALWARE'), possible_labels:No [/INST] counters </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('Wind farms', 'central Europe'), entity_labels:('VICTIM_IDENTITY', 'GENERAL_IDENTITY'), possible_labels:No [/INST] located </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('APT29', 'the SolarWinds Compromise'), entity_labels:('THREAT_ACTOR', 'INTRUSION_SET'), possible_labels:uses [/INST] uses </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('Account privileges should be clearly defined , narrowly scoped , and regularly audited against usage patterns', 'Russian malicious cyber activity'), entity_labels:('COURSE_OF_ACTION', 'CAMPAIGN'), possible_labels:No [/INST] counters </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('a set of destructive wiper attacks', 'masquerading the activity as ransomware attacks'), entity_labels:('CAMPAIGN', 'ATTACK_PATTERN'), possible_labels:uses [/INST] uses </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('attacker', 'While the use of web shells is common amongst threat actors'), entity_labels:('THREAT_ACTOR', 'ATTACK_PATTERN'), possible_labels:uses [/INST] uses </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('component by a privileged executed command . The second , CVE-2022 -', 'been publicly detailed'), entity_labels:('ATTACK_PATTERN', 'VULNERABILITY'), possible_labels:target,exploits [/INST] target </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('used accounts to pose as recruiters and draw in US targets before sending them malwareinfected files or tricking them into entering sensitive credentials to phishing sites', 'British and European victims'), entity_labels:('ATTACK_PATTERN', 'VICTIM_IDENTITY'), possible_labels:target [/INST] target </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('MuddyWater', 'backdoor'), entity_labels:('THREAT_ACTOR', 'ATTACK_PATTERN'), possible_labels:uses [/INST] uses </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('attackers', 'malicious code'), entity_labels:('THREAT_ACTOR', 'MALWARE'), possible_labels:uses,controls [/INST] uses </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('Attackers', 'to circumvent any security measures implemented'), entity_labels:('THREAT_ACTOR', 'ATTACK_PATTERN'), possible_labels:uses [/INST] uses </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('rewrite mitigations for the endpoint provided by', '41080 and CVE-2022'), entity_labels:('ATTACK_PATTERN', 'VULNERABILITY'), possible_labels:target,exploits [/INST] target </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('Cloud Services APT29', 'leveraged compromised high - privileged on - premises accounts synced to Office 365'), entity_labels:('THREAT_ACTOR', 'ATTACK_PATTERN'), possible_labels:uses [/INST] uses </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('legal and professional services , technology , and government organizations', 'APJ'), entity_labels:('VICTIM_IDENTITY', 'LOCATION'), possible_labels:located [/INST] located </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('Monitor for contextual data about a file , which may include information such as name , the content ( ex : signature , headers , or data / media )', 'WarzoneRAT'), entity_labels:('COURSE_OF_ACTION', 'MALWARE'), possible_labels:No [/INST] counters </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('Accounts APT29', "organization 's VPN infrastructure"), entity_labels:('THREAT_ACTOR', 'INFRASTRUCTURE'), possible_labels:target,uses,compromise,controls [/INST] uses </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('APT Advanced Persistent Threat Infy', 'new and improved elements'), entity_labels:('THREAT_ACTOR', 'ATTACK_SOPHISTICATION_LEVEL'), possible_labels:sophistication [/INST] sophistication </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('attackers', 'Winnti'), entity_labels:('THREAT_ACTOR', 'MALWARE'), possible_labels:uses,controls [/INST] uses </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('cyberespionage campaign', 'online video game companies'), entity_labels:('CAMPAIGN', 'VICTIM_IDENTITY'), possible_labels:target [/INST] target </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('Trusted Relationship APT29', 'managed services providers'), entity_labels:('THREAT_ACTOR', 'INFRASTRUCTURE'), possible_labels:target,uses,compromise,controls [/INST] uses </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('TunnelVison', 'deployment of ransomware'), entity_labels:('THREAT_ACTOR', 'ATTACK_PATTERN'), possible_labels:uses [/INST] uses </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('identify and exploit an organizations weak spots', 'remote desktop protocol RDP'), entity_labels:('ATTACK_PATTERN', 'ATTACK_PATTERN'), possible_labels:uses [/INST] uses </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('Adversaries', 'manipulate control systems devices or possibly leverage their own , to communicate with and command physical control processes'), entity_labels:('THREAT_ACTOR', 'ATTACK_PATTERN'), possible_labels:uses [/INST] uses </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('attacker', 'as - a - service malware'), entity_labels:('THREAT_ACTOR', 'MALWARE'), possible_labels:uses,controls [/INST] uses </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('becomes easier for aspiring cybercriminals who lack the technical expertise to develop their own ransomware variants by making only minor modifications to the original code', 'When ransomware source code or builders are leaked'), entity_labels:('IMPACT', 'VULNERABILITY'), possible_labels:caused [/INST] caused </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('Snort rules and detection content', 'spam campaign'), entity_labels:('COURSE_OF_ACTION', 'CAMPAIGN'), possible_labels:No [/INST] counters </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('Moses Staff', 'financial gain'), entity_labels:('THREAT_ACTOR', 'ATTACK_MOTIVATION'), possible_labels:motive [/INST] motive </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('MortalKombat', 'Xorist ransomware builder'), entity_labels:('CAMPAIGN', 'TOOL'), possible_labels:No [/INST] uses </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('threat actors', 'uncommon high ports'), entity_labels:('THREAT_ACTOR', 'OBSERVED_DATA'), possible_labels:uses,controls [/INST] uses </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('MiniDuke attackers', 'The PDFs were highly relevant and well - crafted content that fabricated human rights seminar information ( ASEM ) and Ukraine - s foreign policy and NATO membership plans'), entity_labels:('THREAT_ACTOR', 'ATTACK_PATTERN'), possible_labels:uses [/INST] uses </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('KillNet', 'U.S.'), entity_labels:('CAMPAIGN', 'LOCATION'), possible_labels:target,originates [/INST] target </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('KillMilk', 'Universal Dark Service'), entity_labels:('THREAT_ACTOR', 'CAMPAIGN'), possible_labels:No [/INST] uses </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('MiniDuke attackers', 'Adobe Reader versions 9 , 10 and 11'), entity_labels:('THREAT_ACTOR', 'GENERAL_TOOL'), possible_labels:uses,controls [/INST] target </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('Moses Staff', 'covering the attackers tracks'), entity_labels:('THREAT_ACTOR', 'ATTACK_MOTIVATION'), possible_labels:motive [/INST] motive </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('OilRig', 'spearphishing'), entity_labels:('INTRUSION_SET', 'ATTACK_PATTERN'), possible_labels:uses [/INST] uses </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('spearphishing', 'TeamViewer'), entity_labels:('ATTACK_PATTERN', 'ATTACK_TOOL'), possible_labels:uses [/INST] uses </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('has two components Loader and core module', 'Pikabot'), entity_labels:('MALWARE_ANALYSIS', 'MALWARE'), possible_labels:m_analysis,characterizes [/INST] m_analysis </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('TIEDYE', 'upd6'), entity_labels:('MALWARE', 'INFRASTRUCTURE'), possible_labels:target,uses,exfiltrates,communicate [/INST] uses </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('plethora of leaked builders', 'previous work exposed publicly'), entity_labels:('ATTACK_PATTERN', 'VULNERABILITY'), possible_labels:target,exploits [/INST] target </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('Monitor network data flows for unexpected patterns and metadata that may be indicative of a mismatch between protocol and utilized port', 'QuasarRAT'), entity_labels:('COURSE_OF_ACTION', 'MALWARE'), possible_labels:No [/INST] counters </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('The Monti ransomware collective', 'institutions in the legal and governmental fields .'), entity_labels:('CAMPAIGN', 'VICTIM_IDENTITY'), possible_labels:target [/INST] target </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('leading to more frequent attacks and new challenges', 'LockBit 3.0'), entity_labels:('IMPACT', 'TOOL'), possible_labels:No [/INST] caused </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('cyber physical impacts , which are rarely discovered or disclosed', 'specialized OT malware'), entity_labels:('IMPACT', 'MALWARE'), possible_labels:caused [/INST] caused </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('TunnelVison', 'Log4j vulnerability'), entity_labels:('THREAT_ACTOR', 'VULNERABILITY'), possible_labels:target,exploits [/INST] exploits </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('online video game companies', 'Germany'), entity_labels:('VICTIM_IDENTITY', 'LOCATION'), possible_labels:located [/INST] located </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('a set of destructive wiper attacks', 'Masquerading the attacks as ransomware'), entity_labels:('CAMPAIGN', 'ATTACK_PATTERN'), possible_labels:uses [/INST] uses </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('SocGholish', 'NetSupport RAT'), entity_labels:('MALWARE', 'ATTACK_TOOL'), possible_labels:uses [/INST] uses </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('subsequent cyber - attack', 'fund Putin ’s war machine'), entity_labels:('INTRUSION_SET', 'ATTACK_MOTIVATION'), possible_labels:motive [/INST] motive </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('identify similar patterns and techniques used by different threat actors , providing defenders with a way to proactively detect and block the new variants at the initial stage of an attack', 'BlackCat'), entity_labels:('IMPACT', 'MALWARE'), possible_labels:caused [/INST] caused </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('identify and prioritize known malicious indicators', 'ransomware attacks'), entity_labels:('COURSE_OF_ACTION', 'ATTACK_PATTERN'), possible_labels:No [/INST] counters </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('data breach that exposed information for 4.75 million people', 'several federal agencies'), entity_labels:('IMPACT', 'VICTIM_IDENTITY'), possible_labels:faced [/INST] faced </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('players could be hit in the future', 'infected game companies'), entity_labels:('IMPACT', 'VICTIM_IDENTITY'), possible_labels:faced [/INST] faced </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('adversary', 'traditional signaturebased network security tools'), entity_labels:('THREAT_ACTOR', 'GENERAL_TOOL'), possible_labels:uses,controls [/INST] uses </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('destroy data backups that are vital to recovery after an incident', 'Active@ Killdisk'), entity_labels:('ATTACK_PATTERN', 'GENERAL_TOOL'), possible_labels:uses [/INST] uses </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('TIEDYE', 'http'), entity_labels:('MALWARE', 'INFRASTRUCTURE'), possible_labels:target,uses,exfiltrates,communicate [/INST] uses </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('IoA', 'Attackers'), entity_labels:('INDICATOR', 'THREAT_ACTOR'), possible_labels:i_indicate [/INST] i_indicate </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('Iran', 'companies'), entity_labels:('THREAT_ACTOR', 'VICTIM_IDENTITY'), possible_labels:target [/INST] target </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('remote desktop protocol RDP', 'Consider the safety and lifethreatening implications of crippling a hospital system with ransomware'), entity_labels:('ATTACK_PATTERN', 'IMPACT'), possible_labels:No [/INST] caused </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('operation targeting', 'Viasat'), entity_labels:('ATTACK_PATTERN', 'VICTIM_IDENTITY'), possible_labels:target [/INST] target </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('a multi - event cyber attack', 'operational technology ( OT )'), entity_labels:('ATTACK_PATTERN', 'INFRASTRUCTURE'), possible_labels:target,uses [/INST] uses </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('KillNet', 'increase attention surrounding the activity'), entity_labels:('CAMPAIGN', 'IMPACT'), possible_labels:No [/INST] caused </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('com.docker.vmnat', 'x86 - 64 systems'), entity_labels:('ATTACK_TOOL', 'INFRASTRUCTURE'), possible_labels:target [/INST] target </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('mimic certain aspects of the ransom note used in the global WannaCry attacks', 'Bulgaria'), entity_labels:('ATTACK_PATTERN', 'VICTIM_IDENTITY'), possible_labels:target [/INST] target </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('OilRig', 'second stage payload'), entity_labels:('INTRUSION_SET', 'MALWARE'), possible_labels:uses,controls [/INST] uses </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('victims', 'Middle East'), entity_labels:('VICTIM_IDENTITY', 'LOCATION'), possible_labels:located [/INST] located </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('fetch a larger backdoor', 'MiniDuke - s creators'), entity_labels:('ATTACK_PATTERN', 'THREAT_ACTOR'), possible_labels:No [/INST] uses </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('A careful analysis of the domain registrations from this threat actor between 2014 and 2015 allowed us to identify one profile used to register several domains that were used as C&C servers for a particular malware family employed by the Winnti group', 'Winnti malware'), entity_labels:('MALWARE_ANALYSIS', 'MALWARE'), possible_labels:m_analysis,characterizes [/INST] m_analysis </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('attackers', 'customers of the infected game companies'), entity_labels:('THREAT_ACTOR', 'VICTIM_IDENTITY'), possible_labels:target [/INST] target </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('Royal ransomware gang', 'new encryptor'), entity_labels:('THREAT_ACTOR', 'ATTACK_TOOL'), possible_labels:uses,controls [/INST] uses </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('massively multiplayer online role - playing games', 'online video game companies'), entity_labels:('MALWARE', 'VICTIM_IDENTITY'), possible_labels:target [/INST] target </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('began approximately 1 hour before Russia launched its major invasion of Ukraine', 'Wind farms'), entity_labels:('ATTACK_PATTERN', 'VICTIM_IDENTITY'), possible_labels:target [/INST] target </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('disruptive cyber physical incident', 'Ukrainian critical infrastructure organization'), entity_labels:('INTRUSION_SET', 'VICTIM_IDENTITY'), possible_labels:target [/INST] target </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:("affecting everything from the Oregon DMV and Louisiana OMV ( Office of Motor Vehicles)—including the leak of nearly 10 million drivers ' licenses", 'multiple corporations'), entity_labels:('IMPACT', 'VICTIM_IDENTITY'), possible_labels:faced [/INST] faced </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('Attackers', 'instant - messaging'), entity_labels:('THREAT_ACTOR', 'INFRASTRUCTURE'), possible_labels:target,uses,compromise,controls [/INST] uses </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('Russian state', 'Secure Shell Protocol ( SSH )'), entity_labels:('CAMPAIGN', 'GENERAL_TOOL'), possible_labels:uses [/INST] uses </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('campaign', 'a telecommunications company in the Middle East'), entity_labels:('CAMPAIGN', 'VICTIM_IDENTITY'), possible_labels:target [/INST] target </s>