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<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 do n’t have to invest time , money or labor to write their own malicious code or tools and instead can hop right into deploying the malware'), entity_labels:('THREAT_ACTOR', 'ATTACK_MOTIVATION'), possible_labels:motive [/INST] motive </s>
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<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:('Budworm', 'organizations'), entity_labels:('THREAT_ACTOR', 'VICTIM_IDENTITY'), possible_labels:target [/INST] target </s>
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<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', 'Access ( OWA ) . The'), entity_labels:('ATTACK_PATTERN', 'GENERAL_TOOL'), possible_labels:uses [/INST] uses </s>
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<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 changes made to files that may attempt to hide artifacts associated with their behaviors to evade detection', 'for third - party application logging , messaging , and/or other artifacts that may attempt to hide artifacts associated with their behaviors to evade detection'), entity_labels:('COURSE_OF_ACTION', 'ATTACK_PATTERN'), possible_labels:No [/INST] counters </s>
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<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:('UNC4899', "UNC4899 's targeting"), entity_labels:('THREAT_ACTOR', 'VICTIM_IDENTITY'), possible_labels:target [/INST] target </s>
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<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 ’s destructive cyber activities', 'Russia'), entity_labels:('INTRUSION_SET', 'THREAT_ACTOR'), possible_labels:attributed [/INST] attributed </s>
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<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:('advanced persistent threat ( APT ) actors', 'Microsoft 365 cloud environment'), entity_labels:('THREAT_ACTOR', 'INFRASTRUCTURE'), possible_labels:target,uses,compromise,controls [/INST] controls </s>
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<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:('shouldered a hefty 43 percent of all global attacks', 'Ransomware attacks'), entity_labels:('IMPACT', 'INTRUSION_SET'), possible_labels:caused [/INST] caused </s>
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<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', 'intelligence gathering'), entity_labels:('THREAT_ACTOR', 'ATTACK_MOTIVATION'), possible_labels:motive [/INST] motive </s>
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<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:('Whispergate destructive malware', 'Ukrainian government websites'), entity_labels:('MALWARE', 'VICTIM_IDENTITY'), possible_labels:target [/INST] target </s>
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<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:('Danbot', 'C2 communications'), entity_labels:('MALWARE', 'INFRASTRUCTURE'), possible_labels:target,uses,exfiltrates,communicate [/INST] uses </s>
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<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:('attacks', 'amplify its attacks — could signal a change in the game'), entity_labels:('INTRUSION_SET', 'ATTACK_MOTIVATION'), possible_labels:motive [/INST] motive </s>
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<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', 'Java and IE vulnerabilities'), entity_labels:('MALWARE', 'VULNERABILITY'), possible_labels:target,exploits [/INST] exploits </s>
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<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', 'novel wiper malware'), entity_labels:('THREAT_ACTOR', 'MALWARE'), possible_labels:uses,controls [/INST] controls </s>
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<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:('destructive attacks', 'Ukraine'), entity_labels:('CAMPAIGN', 'VICTIM_IDENTITY'), possible_labels:target [/INST] target </s>
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<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', 'GOGETTER'), entity_labels:('THREAT_ACTOR', 'ATTACK_TOOL'), possible_labels:uses,controls [/INST] uses </s>
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<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', 'espionage'), entity_labels:('THREAT_ACTOR', 'ATTACK_MOTIVATION'), possible_labels:motive [/INST] motive </s>
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<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 backdoor', 'downloads a selfextracting archive'), entity_labels:('MALWARE', 'ATTACK_PATTERN'), possible_labels:uses [/INST] uses </s>
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<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:('Winnti malware', 'spread among large number of the game fans'), entity_labels:('MALWARE', 'ATTACK_PATTERN'), possible_labels:uses [/INST] uses </s>
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<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 Attachment APT29', 'spearphishing emails with an attachment'), entity_labels:('THREAT_ACTOR', 'ATTACK_PATTERN'), possible_labels:uses [/INST] uses </s>
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<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:('conducing a risk analysis would be well served to consider such motivations when evaluating their exposure .', 'Persistent Threat APT'), entity_labels:('COURSE_OF_ACTION', 'THREAT_ACTOR'), possible_labels:No [/INST] counters </s>
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<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:('hxxp://[c2_hostname]/groups / count / write.php', 'Miniduke'), entity_labels:('OBSERVED_DATA', 'MALWARE'), possible_labels:i_indicate [/INST] uses </s>
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<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:('Iranian cyber threat groups', 'attack campaigns'), entity_labels:('THREAT_ACTOR', 'CAMPAIGN'), possible_labels:No [/INST] uses </s>
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<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:("North Korea 's Lazarus", 'the North Korean actor'), entity_labels:('THREAT_ACTOR', 'THREAT_ACTOR'), possible_labels:impersonate,attributed [/INST] attributed </s>
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<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:('APT32 backdoor', 'use HTTP over a non - standard TCP port ( e.g 14146 ) which is specified in the backdoor configuration.[5'), entity_labels:('MALWARE', 'OBSERVED_DATA'), possible_labels:uses,communicate [/INST] uses </s>
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<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', 'ransomware'), entity_labels:('THREAT_ACTOR', 'ATTACK_PATTERN'), possible_labels:uses [/INST] uses </s>
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<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:('Winnti group', 'several domains'), entity_labels:('THREAT_ACTOR', 'INFRASTRUCTURE'), possible_labels:target,uses,compromise,controls [/INST] target </s>
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<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:('Winnti malware', 'The cryptographic certificates'), entity_labels:('MALWARE', 'INFRASTRUCTURE'), possible_labels:target,uses,exfiltrates,communicate [/INST] uses </s>
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<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:('likely using Exchange Server vulnerabilities to gain a foothold into environments', 'followed quickly by additional access and persistent mechanisms'), entity_labels:('INDICATOR', 'ATTACK_PATTERN'), possible_labels:i_indicate [/INST] i_indicate </s>
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<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:('tunneler written in Golang that proxies communications for its command and control ( C2 ) server using the open - source library Yamux over TLS .', 'GOGETTER'), entity_labels:('MALWARE_ANALYSIS', 'MALWARE'), possible_labels:m_analysis,characterizes [/INST] m_analysis </s>
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<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:('monitoring of the service provider ’s presence , activities , and connections to the customer network', 'Russian malicious cyber activity'), entity_labels:('COURSE_OF_ACTION', 'CAMPAIGN'), possible_labels:No [/INST] counters </s>
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<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 API APT29', 'utilized AADInternals PowerShell Modules to access the API'), entity_labels:('THREAT_ACTOR', 'ATTACK_PATTERN'), possible_labels:uses [/INST] uses </s>
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<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:('they all include its core capabilities', 'v1.0'), entity_labels:('ATTACK_PATTERN', 'ATTACK_TOOL'), possible_labels:uses [/INST] uses </s>
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<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:('Earth Vetala', 'numerous organizations'), entity_labels:('CAMPAIGN', 'VICTIM_IDENTITY'), possible_labels:target [/INST] target </s>
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<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:('understanding the TTPs of the leaked source codes , defenders will gain invaluable insights that are helpful in identifying and mitigating any existing security weakness in their environment and improving their security defense against these attack vectors', 'RYUK'), entity_labels:('IMPACT', 'MALWARE'), possible_labels:caused [/INST] caused </s>
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<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:('ransomware', 'U.S. financial institutions'), entity_labels:('MALWARE', 'VICTIM_IDENTITY'), possible_labels:target [/INST] target </s>
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<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', 'C2.[28'), entity_labels:('THREAT_ACTOR', 'INFRASTRUCTURE'), possible_labels:target,uses,compromise,controls [/INST] controls </s>
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<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:("analyze the source code and understand the attacker 's tactics , techniques and procedures ( TTPs )", 'REvil'), entity_labels:('COURSE_OF_ACTION', 'MALWARE'), possible_labels:No [/INST] counters </s>
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<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 Accounts APT29', 'Azure Virtual Machines'), entity_labels:('THREAT_ACTOR', 'INFRASTRUCTURE'), possible_labels:target,uses,compromise,controls [/INST] uses </s>
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<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:('lightweight Ruby script that was executed via the JumpCloud agent', 'malicious code'), entity_labels:('MALWARE_ANALYSIS', 'MALWARE'), possible_labels:m_analysis,characterizes [/INST] m_analysis </s>
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<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:('drop or create malware , tools', 'a target system'), entity_labels:('ATTACK_PATTERN', 'VICTIM_IDENTITY'), possible_labels:target [/INST] target </s>
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<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:('perform data destruction over the course of an operation', 'non - native files and other data may be removed over the course of an intrusion'), entity_labels:('ATTACK_PATTERN', 'OBSERVED_DATA'), possible_labels:uses [/INST] uses </s>
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<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', 'red team tools'), entity_labels:('THREAT_ACTOR', 'ATTACK_TOOL'), possible_labels:uses,controls [/INST] uses </s>
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<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', 'REvil'), entity_labels:('IMPACT', 'MALWARE'), possible_labels:caused [/INST] caused </s>
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<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:('tens of thousands of terminals have been damaged', 'Russia'), entity_labels:('IMPACT', 'THREAT_ACTOR'), possible_labels:caused [/INST] caused </s>
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<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:('Agrius', 'called IPsec Helper'), entity_labels:('THREAT_ACTOR', 'MALWARE'), possible_labels:uses,controls [/INST] controls </s>
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<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:('Greatness', 'incorporates features seen in some of the most advanced PaaS offerings'), entity_labels:('ATTACK_TOOL', 'ATTACK_PATTERN'), possible_labels:No [/INST] uses </s>
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<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 it to exfiltrate the user name and password data encoded', 'base64'), entity_labels:('ATTACK_PATTERN', 'OBSERVED_DATA'), possible_labels:uses [/INST] uses </s>
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<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:('organized criminal groups', 'financial motivation'), entity_labels:('INTRUSION_SET', 'ATTACK_MOTIVATION'), possible_labels:motive [/INST] motive </s>
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<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 criminals', 'malicious links'), entity_labels:('CAMPAIGN', 'INTRUSION_SET'), possible_labels:uses,tech_attributed [/INST] uses </s>
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<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:('HAFNIUM', 'infectious disease researchers'), entity_labels:('THREAT_ACTOR', 'VICTIM_IDENTITY'), possible_labels:target [/INST] target </s>
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<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 Russian Military Intelligence', 'Ukrainian government websites'), entity_labels:('THREAT_ACTOR', 'VICTIM_IDENTITY'), possible_labels:target [/INST] target </s>
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<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:('Lowcode automation of processes can make the required actions fast , reliable , and repeatable', 'ransomware'), entity_labels:('COURSE_OF_ACTION', 'MALWARE'), possible_labels:No [/INST] counters </s>
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<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', 'The attackers'), entity_labels:('IMPACT', 'THREAT_ACTOR'), possible_labels:caused [/INST] caused </s>
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<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:('Agrius', 'a set of destructive wiper attacks'), entity_labels:('THREAT_ACTOR', 'CAMPAIGN'), possible_labels:No [/INST] uses </s>
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<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:('military sectors', 'Poland'), entity_labels:('VICTIM_IDENTITY', 'LOCATION'), possible_labels:located [/INST] located </s>
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<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:('ransomware', 'public and private companies'), entity_labels:('ATTACK_PATTERN', 'VICTIM_IDENTITY'), possible_labels:target [/INST] target </s>
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<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:('Analyze packet contents to detect communications that do not follow the expected protocol behavior for the port that is being used', 'TEMP.Veles'), entity_labels:('COURSE_OF_ACTION', 'MALWARE'), possible_labels:No [/INST] counters </s>
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<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:('Ensure robust patching and system configuration audits', 'Russian malicious cyber activity'), entity_labels:('COURSE_OF_ACTION', 'CAMPAIGN'), possible_labels:No [/INST] counters </s>
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<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 attack', 'sufficient resources to conduct their schemes over a long - term period'), entity_labels:('THREAT_ACTOR', 'ATTACK_RESOURCE_LEVEL'), possible_labels:hasresource [/INST] hasresource </s>
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<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', 'typically conducted as campaigns'), entity_labels:('INTRUSION_SET', 'ATTACK_PATTERN'), possible_labels:uses [/INST] uses </s>
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<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', 'CADDYWIPER'), entity_labels:('THREAT_ACTOR', 'ATTACK_TOOL'), possible_labels:uses,controls [/INST] uses </s>
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<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', 'commercial communications company Viasat'), entity_labels:('CAMPAIGN', 'VICTIM_IDENTITY'), possible_labels:target [/INST] target </s>
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<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:('Mercenary " groups', 'Talos'), entity_labels:('THREAT_ACTOR', 'GENERAL_IDENTITY'), possible_labels:target,impersonate,attributed [/INST] uses </s>
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<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:('ransomware', 'government sector'), entity_labels:('MALWARE', 'VICTIM_IDENTITY'), possible_labels:target [/INST] target </s>
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<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:('Device Registration APT29', 'enrolled a device in MFA to an Azure AD environment following a successful password guessing attack against a dormant account'), entity_labels:('THREAT_ACTOR', 'ATTACK_PATTERN'), possible_labels:uses [/INST] uses </s>
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<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:('CL0P', 'GoAnywhere MFT'), entity_labels:('THREAT_ACTOR', 'GENERAL_TOOL'), possible_labels:uses,controls [/INST] uses </s>
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<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', 'Irans neighbors'), entity_labels:('ATTACK_PATTERN', 'VICTIM_IDENTITY'), possible_labels:target [/INST] target </s>
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<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:('Earth Vetala', 'use features of remote access software to steal sensitive information or download malware for additional cyber operations'), entity_labels:('CAMPAIGN', 'ATTACK_PATTERN'), possible_labels:uses [/INST] uses </s>
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<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 - s creators', 'encrypted backdoors that are obfuscated within GIF files'), entity_labels:('THREAT_ACTOR', 'OBSERVED_DATA'), possible_labels:uses,controls [/INST] uses </s>
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<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:('Analyze packet contents to detect communications that do not follow the expected protocol behavior for the port that is being used', 'PingPull'), entity_labels:('COURSE_OF_ACTION', 'MALWARE'), possible_labels:No [/INST] counters </s>
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<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:('essential service providers , and critical infrastructure operators', 'Russia ’s destructive cyber activities'), entity_labels:('COURSE_OF_ACTION', 'INTRUSION_SET'), possible_labels:No [/INST] counters </s>
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<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:('ExpressVPN service', "North Korea 's Lazarus"), entity_labels:('INFRASTRUCTURE', 'THREAT_ACTOR'), possible_labels:No [/INST] motive </s>
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<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 ’s cyber physical attack capability', 'Ukraine'), entity_labels:('INTRUSION_SET', 'VICTIM_IDENTITY'), possible_labels:target [/INST] target </s>
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<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:("Winnti gang 's campaign", 'stealing digital certificates'), entity_labels:('CAMPAIGN', 'ATTACK_PATTERN'), possible_labels:uses [/INST] uses </s>
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<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', 'attack stronger adversaries'), entity_labels:('THREAT_ACTOR', 'ATTACK_MOTIVATION'), possible_labels:motive [/INST] motive </s>
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<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:("develop effective detection rules and enhance security products ' capabilities in combating ransomware threats", 'RYUK'), entity_labels:('COURSE_OF_ACTION', 'MALWARE'), possible_labels:No [/INST] counters </s>
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<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:('Analyze packet contents to detect communications that do not follow the expected protocol behavior for the port that is being used', 'MoonWind'), entity_labels:('COURSE_OF_ACTION', 'MALWARE'), possible_labels:No [/INST] counters </s>
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<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', 'CADDYWIPER'), entity_labels:('THREAT_ACTOR', 'MALWARE'), possible_labels:uses,controls [/INST] controls </s>
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<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', 'supports domestic Russian promotion of support for the war'), entity_labels:('CAMPAIGN', 'ATTACK_MOTIVATION'), possible_labels:motive [/INST] motive </s>
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<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:('REvil', 'Telegram channel'), entity_labels:('THREAT_ACTOR', 'INFRASTRUCTURE'), possible_labels:target,uses,compromise,controls [/INST] uses </s>
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<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:('notified roughly the same number of users that they had been targeted', 'social media phishing'), entity_labels:('COURSE_OF_ACTION', 'ATTACK_PATTERN'), possible_labels:No [/INST] counters </s>
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<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', 'hxxp://[c2_hostname]/groups / sidebar.html'), entity_labels:('MALWARE', 'OBSERVED_DATA'), possible_labels:uses,communicate [/INST] uses </s>
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<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 logs for suspicious activity', 'Russian malicious cyber activity'), entity_labels:('COURSE_OF_ACTION', 'CAMPAIGN'), possible_labels:No [/INST] counters </s>
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<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:('FIN7', 'used port - protocol mismatches on ports'), entity_labels:('THREAT_ACTOR', 'ATTACK_PATTERN'), possible_labels:uses [/INST] uses </s>
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<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', 'infect other valuable systems'), entity_labels:('THREAT_ACTOR', 'ATTACK_MOTIVATION'), possible_labels:motive [/INST] motive </s>
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<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:('investigating to determine the scope of the attack and dwell time of the threat actor', 'threat actors'), entity_labels:('COURSE_OF_ACTION', 'THREAT_ACTOR'), possible_labels:No [/INST] counters </s>
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<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', 'New , unexpected compiled ASPX files in the directory'), entity_labels:('THREAT_ACTOR', 'ATTACK_PATTERN'), possible_labels:uses [/INST] uses </s>
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<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:('Winnti', 'The cryptographic certificates'), entity_labels:('MALWARE', 'INFRASTRUCTURE'), possible_labels:target,uses,exfiltrates,communicate [/INST] target </s>
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<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:('alarming trends in the global ransomware surge from July 2022 to June 2023', 'Ransomware attacks'), entity_labels:('IMPACT', 'INTRUSION_SET'), possible_labels:caused [/INST] caused </s>
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<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:('FIN7', 'as 53 , 80 , 443 , and 8080 during C2.[14'), entity_labels:('THREAT_ACTOR', 'OBSERVED_DATA'), possible_labels:uses,controls [/INST] uses </s>
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<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:('not', 'to security and geopolitics . Another wave of suspected Dukes'), entity_labels:('MALWARE', 'VICTIM_IDENTITY'), possible_labels:target [/INST] target </s>
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<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', 'DDoS attacks'), entity_labels:('THREAT_ACTOR', 'INTRUSION_SET'), possible_labels:uses [/INST] uses </s>
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<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', 'Its code identifies the victim ’s browser and then serves one of two exploits'), entity_labels:('MALWARE', 'ATTACK_PATTERN'), possible_labels:uses [/INST] uses </s>
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<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:('UNC2639', 'Microsoft Exchange Server'), entity_labels:('THREAT_ACTOR', 'INFRASTRUCTURE'), possible_labels:target,uses,compromise,controls [/INST] target </s>
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<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:('investigating to determine the scope of the attack and dwell time of the threat actor', 'web shells'), entity_labels:('COURSE_OF_ACTION', 'ATTACK_PATTERN'), possible_labels:No [/INST] counters </s>
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<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', 'surveillance'), entity_labels:('MALWARE', 'ATTACK_MOTIVATION'), possible_labels:motive [/INST] motive </s>
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<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', 'advance Irans geopolitical goals'), entity_labels:('THREAT_ACTOR', 'ATTACK_MOTIVATION'), possible_labels:motive [/INST] motive </s>
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<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:('Magic Hound malware', 'communicated with its C2 server over TCP ports 4443 and 10151 using HTTP.[22][23'), entity_labels:('MALWARE', 'OBSERVED_DATA'), possible_labels:uses,communicate [/INST] uses </s>
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<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:('multi - stage attack chain', 'phishing email delivered to victims impersonating CoinPayments'), entity_labels:('ATTACK_PATTERN', 'ATTACK_PATTERN'), possible_labels:uses [/INST] uses </s>
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