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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:('threats Russia', 'Ukraine'), entity_labels:('INTRUSION_SET', 'LOCATION'), possible_labels:target,originates [/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:('We recommend following Microsoft ’s guidance and patching Exchange Server immediately to mitigate this activity', 'creation of web shells for persistent access'), 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:('the cdhash is computed based on executable code in the application', 'malicious binaries'), 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:('UNC2639', '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:('on affected', 'backend Exchange servers so further information was not available regarding the PowerShell commands leveraged by the threat actors . When'), 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:('network - wide security event collection and analysis', 'Targeted attacks'), 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:('Harrison', 'Bradshaw'), 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:('APT Advanced Persistent Threat Infy', 'novel documents containing macros that extract the embedded package once opened and execute it once the document closes instead of having the victim click on a video link as before'), 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:('deploying spear - phishing campaigns and building a backdoor', 'telecommunications'), 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:('APT', 'Detbosit'), 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:('Nation State actors', 'NuisanceDestruction intrinsic'), 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:('DarkTortilla', '% HiddenReg% and % HiddenKey% as part of its persistence via the Windows registry.[6'), 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:('Ashley Madison hackers', 'Biderman'), 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:('Budworm', 'INISafeWebSSO application'), 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:('Network intrusion detection and prevention systems that use network signatures to identify traffic for specific adversary malware can be used to mitigate activity at the network level', 'Sandworm Team'), 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:('Russian national', 'computer systems'), 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:('threat actors', 'to distribute the malware on their behalf and manage the infection'), 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:('compromise a system to then place the hidden service on that particular system', 'bot nets . Systems'), 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:('These accounts were created by MiniDuke - s Command and Control ( C2 ) operators and the tweets maintain specific tags labeling encrypted URLs for the backdoors', 'MiniDuke attackers'), entity_labels:('ATTACK_PATTERN', 'THREAT_ACTOR'), 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:('Persistent Internal Server Requests', 'Advanced Persistent Threat APT'), entity_labels:('INDICATOR', 'INTRUSION_SET'), 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:('India', 'Iranian individuals and entities'), entity_labels:('LOCATION', 'VICTIM_IDENTITY'), possible_labels:No [/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:('social media phishing', '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:('CL0P', 'Ransomware - as - a - Service ” ( RaaS )'), entity_labels:('THREAT_ACTOR', 'MALWARE'), 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:('COSMICENERGY', 'IEC-104 compliant devices'), 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:('registered algorithmically generated Twitter handles that are used', 'malware'), entity_labels:('ATTACK_PATTERN', 'MALWARE'), possible_labels:uses,delivers [/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:('malware', 'verifies that the server is authentic by downloading a signature file that is signed by the server and ensuring that it is the right one to make the operation more resilient to takedowns'), entity_labels:('MALWARE', 'ATTACK_PATTERN'), possible_labels:uses [/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:('builders components that are essential to creating and modifying ransomware', 'multiple leaks of ransomware source code'), entity_labels:('ATTACK_PATTERN', 'VULNERABILITY'), possible_labels:target,exploits [/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:('backdoor', 'diplomatic organizations'), 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:('Monitor network data flows for unexpected patterns and metadata that may be indicative of a mismatch between protocol and utilized port', 'a FakeTLS method'), 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:('Russia ’s invasion of Ukraine .', 'financial sectors'), 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:('Russian national', 'cyberattacks'), 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:('Review contractual relationships with all service providers', 'malicious cyber 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:('wider impact across the continent , disrupting wind farms and internet users', 'Viasat'), entity_labels:('IMPACT', 'VICTIM_IDENTITY'), possible_labels:faced [/INST] faced </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:('No More Ransom', 'variants of 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:('Earth Vetala', 'lure documents containing embedded links'), 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:('threat actors', 'the barriers to entry for developing offensive OT capabilities are lowering as actors leverage knowledge from prior attacks to develop new malware .'), 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:('Asia', 'COSMICENERGY'), entity_labels:('LOCATION', 'MALWARE'), 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:('TIEDYE', 'rdp'), 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:('Anonymous Sudan', '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:('StrifeWater', 'create a foothold in victim and environments'), 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:('Sandworm', 'Ukraine'), 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:('DPRK threat actor', 'connecting directly to an attacker - controlled ORB'), 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:('RAT', 'remove itself from the victim machine in time for the deployment of malware'), entity_labels:('ATTACK_PATTERN', '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:('North Korean threat actors', 'C2 domain prontoposer[.]com'), 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:('SecretsDump', 'dumping the NTDS.dit Active Directory database'), 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:('Russia', 'communications company'), 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:('Monitor executed commands and arguments that may attempt to hide artifacts associated with their behaviors to evade detection', 'is based on the abuse of system features'), 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:('disrupt response functions from occurring as expected', 'Standard file deletion commands'), 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:('Rising Sun', 'Sharpshooter'), entity_labels:('ATTACK_TOOL', 'INFRASTRUCTURE'), possible_labels:target [/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:('Network intrusion detection and prevention systems that use network signatures to identify traffic for specific adversary malware can be used to mitigate activity at the network level', 'Cyclops Blink'), 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:('threat actors', 'cyber 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:('Darkrace', 'NoEscape'), entity_labels:('MALWARE', 'MALWARE'), possible_labels:uses,variant,m_controls [/INST] variant </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:('attacker', 'full control of the victim machine .'), entity_labels:('THREAT_ACTOR', 'IMPACT'), possible_labels:No [/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:('malicious cyber actors', 'File Transfer Protocol ( FTP )'), 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:('times to target multiple victims . Use of open source libraries', 'protocol ,'), 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:('have a user interface that allows users to choose the underlying features and customize the configurations to build a new ransomware binary executable without exposing the source code or needing a compiler installed', 'Ransomware builders'), 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:('APT group', 'technology'), 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:('control system', 'IT and OT systems'), entity_labels:('INFRASTRUCTURE', 'INFRASTRUCTURE'), possible_labels:consist,controls,i_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:('caused outages for several thousand Ukrainian customers', 'commercial communications company Viasat'), entity_labels:('IMPACT', 'VICTIM_IDENTITY'), possible_labels:faced [/INST] faced </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 )", 'DarkSide'), 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:('a series of failed and successful attempts over time to get deeper and deeper into a target ’s network', 'government agencies'), 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:('victims', 'the U.S.'), 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:('Royal', 'Brazil'), entity_labels:('MALWARE', 'LOCATION'), possible_labels:target,originates [/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:('attackers', '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:('Network intrusion detection and prevention systems that use network signatures to identify traffic for specific adversary malware can be used to mitigate activity at the network level', 'Operation Wocao'), 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:('APT', 'DEADWOOD'), entity_labels:('THREAT_ACTOR', 'MALWARE'), 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 satellite communications networks'), 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:('lead to arbitrary code execution', 'tricking a user into opening a specially crafted , malformed file'), entity_labels:('IMPACT', 'ATTACK_PATTERN'), 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:('APT29', 'the SolarWinds Compromise'), 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:('employing a technique known as cloaking', 'essentially the same content with different domain names'), 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:('That DLL file is the main module of Miniduke , and it uses the URL', 'Microsoft Internet Explorer 8'), entity_labels:('ATTACK_PATTERN', 'INFRASTRUCTURE'), possible_labels:target,uses [/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:('. COSMICENERGY also has', 'which'), 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:('Winnti group', 'malware arsenal'), 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:('generate new malicious links every few minutes', "Google 's serverless platform"), entity_labels:('ATTACK_PATTERN', 'INFRASTRUCTURE'), possible_labels:target,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', 'considerable rate of attacks was vastly exceeded'), entity_labels:('THREAT_ACTOR', 'ATTACK_SOPHISTICATION_LEVEL'), possible_labels:sophistication [/INST] sophistication </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:('publicly available malware', 'legitimate tools'), entity_labels:('MALWARE', '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:('analyzing network packets', 'relied on similar versions of Rising Sun in activity tracked in 2017'), 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:('Put in place additional monitoring at ingress and egress points to SATCOM equipment to look for anomalous traffic', '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:('numerous organizations', 'Middle East and neighboring regions'), 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:('Sandworm', 'OT'), 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:('(', 'National Committee .'), 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:('Budworm', '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:('they all include its core capabilities', 'v1.1'), 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:('made inoperable and can not be repaired', 'Viasat'), entity_labels:('IMPACT', 'VICTIM_IDENTITY'), possible_labels:faced [/INST] faced </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:('removed fewer than 200 fake profiles from its platforms as a result of the investigation', '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:('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:('Russian military cyber operators', 'multiple families of destructive wiper malware'), 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:('Miniduke', 'we have found files that were not related to the C&C code , but seemed to be prepared for infecting visitors using web - based vulnerabilities'), 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:('Ashley Madison hackers', 'Ashley Madison'), entity_labels:('THREAT_ACTOR', 'GENERAL_IDENTITY'), possible_labels:target,impersonate,attributed [/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:('TIEDYE', 'tcp'), 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:('Russian military cyber operators', 'Ukrainian Government'), 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:('cyber physical impacts , which are rarely discovered or disclosed', 'COSMICENERGY'), 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:('Hive ransomware', 'aka Wazawaka'), entity_labels:('MALWARE', 'THREAT_ACTOR'), possible_labels:tech_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:('Earth Vetala', 'Onehub'), entity_labels:('CAMPAIGN', '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:('Sandworm', 'GOGETTER'), entity_labels:('THREAT_ACTOR', 'MALWARE'), 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:('Budworm', 'SysUpdate'), entity_labels:('THREAT_ACTOR', 'MALWARE'), 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:('employ similar methods found in traditional online threats', 'malicious sites'), entity_labels:('ATTACK_PATTERN', '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:("unique downloader was dropped onto the victim 's disk , containing a customized micro backdoor written in Assembler . If the", 'and 11 , bypassing its sandbox . Once'), 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:('Attackers', 'customized'), 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:('several campaigns', 'AgentTesla remote access trojan ( RAT'), entity_labels:('CAMPAIGN', 'MALWARE'), possible_labels:uses [/INST] uses </s>
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