Datasets:
Sampath1987
/
RE_data_train

Dataset card Data Studio Files
xet
Community
2
text
stringlengths
597
1.55k
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('NoEscape ransomware', 'hybrid approach to encryption , combining ChaCha20 and RSA encryption algorithms for file encryption and key protection'), entity_labels:('MALWARE', 'ATTACK_PATTERN'), possible_labels:uses [/INST] uses </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('Properly configure firewalls and proxies to limit outgoing traffic to only necessary ports for that particular network segment', 'WIRTE'), entity_labels:('COURSE_OF_ACTION', 'MALWARE'), possible_labels:No [/INST] counters </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('adversary', 'traditional signaturebased network security tools'), entity_labels:('THREAT_ACTOR', 'GENERAL_TOOL'), possible_labels:uses,controls [/INST] uses </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('government regulations', 'ransomware'), entity_labels:('COURSE_OF_ACTION', 'ATTACK_PATTERN'), possible_labels:No [/INST] counters </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('BadBlood', 'Israeli scholars'), entity_labels:('CAMPAIGN', 'VICTIM_IDENTITY'), possible_labels:target [/INST] target </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('threat actor', 'pako'), entity_labels:('THREAT_ACTOR', 'GENERAL_TOOL'), possible_labels:uses,controls [/INST] uses </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('Microsoft 365 phishing pages', 'providing its affiliates with an attachment and link builder that creates highly convincing decoy and login pages'), entity_labels:('INTRUSION_SET', 'ATTACK_PATTERN'), possible_labels:uses [/INST] uses </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('Information and Communications Technology ( ICT ) sectors', 'Italy'), entity_labels:('VICTIM_IDENTITY', 'LOCATION'), possible_labels:located [/INST] located </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('Russia ’s invasion of Ukraine .', 'CADDYWIPER'), entity_labels:('INTRUSION_SET', 'ATTACK_TOOL'), possible_labels:uses,controls [/INST] uses </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('(', 'hunts for confidential'), entity_labels:('MALWARE', 'VICTIM_IDENTITY'), possible_labels:target [/INST] target </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('network - wide security event collection and analysis', 'threat actors'), entity_labels:('COURSE_OF_ACTION', 'THREAT_ACTOR'), possible_labels:No [/INST] counters </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('Application Service Data Unit ( ASDU ) messages , to change the state of RTU Information Object Addresses ( IOAs ) to ON or OFF . LIGHTWORK utilizes positional', 'line'), entity_labels:('ATTACK_PATTERN', 'ATTACK_TOOL'), possible_labels:uses [/INST] uses </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('Cl0p', 'data breach that exposed information for 4.75 million people'), entity_labels:('THREAT_ACTOR', 'IMPACT'), possible_labels:No [/INST] caused </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('the group', 'deploying ransomware or wiper malware'), entity_labels:('THREAT_ACTOR', 'ATTACK_MOTIVATION'), possible_labels:motive [/INST] motive </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('checks the command execution functionality using a command that vary across the samples', 'The malware'), entity_labels:('MALWARE_ANALYSIS', 'MALWARE'), possible_labels:m_analysis,characterizes [/INST] m_analysis </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('several campaigns', 'military organizations'), entity_labels:('CAMPAIGN', 'VICTIM_IDENTITY'), possible_labels:target [/INST] target </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('Anonymous Sudan', 'motivations related to the defense of Islam and/or the interests of Sudan .'), entity_labels:('THREAT_ACTOR', 'ATTACK_MOTIVATION'), possible_labels:motive [/INST] motive </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('adversarial nation state', 'to make a political or social statement'), entity_labels:('THREAT_ACTOR', 'ATTACK_MOTIVATION'), possible_labels:motive [/INST] motive </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('Tonnerre', 'executable is exceptionally large at 56 MB'), entity_labels:('MALWARE', 'OBSERVED_DATA'), possible_labels:uses,communicate [/INST] uses </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('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', 'Babuk'), entity_labels:('IMPACT', 'MALWARE'), possible_labels:caused [/INST] caused </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('Foudre', 'APT Advanced Persistent Threat Infy'), entity_labels:('MALWARE', 'THREAT_ACTOR'), possible_labels:tech_attributed [/INST] attributed </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('indicators across file attachments , embedded links', 'ransomware attacks'), entity_labels:('INDICATOR', 'ATTACK_PATTERN'), possible_labels:i_indicate [/INST] i_indicate </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('RGB actors', 'The VPNs'), entity_labels:('THREAT_ACTOR', 'INFRASTRUCTURE'), possible_labels:target,uses,compromise,controls [/INST] uses </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('bad actors', 'phishing bots - as - a - service'), entity_labels:('THREAT_ACTOR', 'INTRUSION_SET'), possible_labels:uses [/INST] uses </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('KillMilk', 'the West'), entity_labels:('THREAT_ACTOR', 'VICTIM_IDENTITY'), possible_labels:target [/INST] target </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('KillNet', 'the war in Ukraine'), entity_labels:('CAMPAIGN', 'VULNERABILITY'), possible_labels:target [/INST] exploits </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('allows novice actors to generate their own customized ransomware variants', 'Ransomware builders'), entity_labels:('IMPACT', 'MALWARE'), possible_labels:caused [/INST] caused </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('Harrison', 'sent emails from different accounts at the free email service Vistomail pretending to be Bradshaw , his then - girlfriend and their friends'), entity_labels:('THREAT_ACTOR', 'ATTACK_PATTERN'), possible_labels:uses [/INST] uses </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('Targeted attacks', 'to gain access to the company ’s crown jewels or valuable data'), entity_labels:('INTRUSION_SET', 'ATTACK_MOTIVATION'), possible_labels:motive [/INST] motive </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('Winnti group', 'selling VPS hosting at secure[.]66[.]to . The hosting services offered at secure[.]66[.]to are in fact hosting services rented to other companies worldwide'), entity_labels:('THREAT_ACTOR', 'OBSERVED_DATA'), possible_labels:uses,controls [/INST] uses </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('APTs', 'a series of failed and successful attempts over time to get deeper and deeper into a target ’s network'), entity_labels:('CAMPAIGN', 'ATTACK_PATTERN'), possible_labels:uses [/INST] uses </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('Russia ’s offensive OT arsenal', 'ability to recognize novel OT threat vectors'), entity_labels:('CAMPAIGN', 'ATTACK_PATTERN'), possible_labels:uses [/INST] uses </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('TunnelVison', 'VMware Horizon'), entity_labels:('THREAT_ACTOR', 'GENERAL_TOOL'), possible_labels:uses,controls [/INST] uses </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('Moses Staff', 'consistently makes a conscious effort to evade detection until the last stage of attack where they deploy the ransomware'), entity_labels:('THREAT_ACTOR', 'ATTACK_PATTERN'), possible_labels:uses [/INST] uses </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('called IPsec Helper', '.NET backdoor'), entity_labels:('MALWARE', 'ATTACK_PATTERN'), possible_labels:uses [/INST] uses </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('FakeSG', 'Compromised websites'), entity_labels:('MALWARE', 'INFRASTRUCTURE'), possible_labels:target,uses,exfiltrates,communicate [/INST] uses </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:("offices while users ' systems were silently infected in the background , and many of the APT 's components were signed with phony Intel and AMD digital certificates . The file collected system information", 'Kaspersky .'), entity_labels:('ATTACK_PATTERN', 'VICTIM_IDENTITY'), possible_labels:target [/INST] target </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('the four - byte value at offset 0x410 ( 0x16325 ) as a uid .', 'STRATOFEAR'), entity_labels:('MALWARE_ANALYSIS', 'MALWARE'), possible_labels:m_analysis,characterizes [/INST] m_analysis </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('OilRig', 'through a job opportunity document containing malicious macros with DNS Domain Name System tunneling that executes the payload and establishes persistence'), entity_labels:('INTRUSION_SET', 'ATTACK_PATTERN'), possible_labels:uses [/INST] uses </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('UNC4899', 'blockchain - related companies'), entity_labels:('THREAT_ACTOR', 'VICTIM_IDENTITY'), possible_labels:target [/INST] target </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:("malicious program that contains the instructions and algorithms that define the ransomware 's behavior . It is usually complex and often requires skilled technicians to create", 'Ransomware source code'), entity_labels:('MALWARE_ANALYSIS', 'MALWARE'), possible_labels:m_analysis,characterizes [/INST] m_analysis </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('Monitor network data flows for unexpected patterns and metadata that may be indicative of a mismatch between protocol and utilized port', 'Magic Hound malware'), entity_labels:('COURSE_OF_ACTION', 'MALWARE'), possible_labels:No [/INST] counters </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('public exploitation frameworks', 'threat actors'), entity_labels:('CAMPAIGN', 'THREAT_ACTOR'), possible_labels:tech_attributed [/INST] attributed </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('Astamirov', 'Arizona'), entity_labels:('THREAT_ACTOR', 'LOCATION'), possible_labels:target,located [/INST] located </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('disrupt response functions from occurring as expected', 'Active@ Killdisk'), entity_labels:('ATTACK_PATTERN', 'GENERAL_TOOL'), possible_labels:uses [/INST] uses </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('Lazarus', 'Duuzer'), entity_labels:('THREAT_ACTOR', 'MALWARE'), possible_labels:uses,controls [/INST] uses </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('Winnti', 'easy to create or obtain'), entity_labels:('THREAT_ACTOR', 'ATTACK_SOPHISTICATION_LEVEL'), possible_labels:sophistication [/INST] sophistication </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('MoonWind', 'communicates over ports 80 , 443 , 53 , and 8080 via raw sockets instead of the protocols usually associated with the ports.[25'), entity_labels:('MALWARE', 'OBSERVED_DATA'), possible_labels:uses,communicate [/INST] uses </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('GRU - sponsored OT attacks', 'disabling UPS systems'), entity_labels:('INTRUSION_SET', 'ATTACK_PATTERN'), possible_labels:uses [/INST] uses </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('Russia', 'fund Putin ’s war machine'), entity_labels:('THREAT_ACTOR', 'ATTACK_MOTIVATION'), possible_labels:motive [/INST] motive </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('tens of thousands of terminals outside of Ukraine', 'cyber attacks'), entity_labels:('IMPACT', 'INTRUSION_SET'), possible_labels:caused [/INST] caused </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('online video game companies', 'Brazil'), entity_labels:('VICTIM_IDENTITY', 'LOCATION'), possible_labels:located [/INST] located </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('continuity of operations plans are in place', 'Russian malicious cyber activity'), entity_labels:('COURSE_OF_ACTION', 'CAMPAIGN'), possible_labels:No [/INST] counters </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('Sweden', 'Iranian individuals and entities'), entity_labels:('LOCATION', 'VICTIM_IDENTITY'), possible_labels:No [/INST] located </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('threat actor', 'FortiOS CVE201813379'), entity_labels:('THREAT_ACTOR', 'VULNERABILITY'), possible_labels:target,exploits [/INST] exploits </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('Budworm', 'U.S. state legislature'), entity_labels:('THREAT_ACTOR', 'VICTIM_IDENTITY'), possible_labels:target [/INST] target </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('increasing number of ransomware variants emerge', 'LockBit 3.0'), entity_labels:('IMPACT', 'TOOL'), possible_labels:No [/INST] caused </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('RA Group', 'Taiwan'), entity_labels:('THREAT_ACTOR', 'VICTIM_IDENTITY'), possible_labels:target [/INST] target </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('An attacker', 'a particular organization'), entity_labels:('THREAT_ACTOR', 'VICTIM_IDENTITY'), possible_labels:target [/INST] target </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('disruptive cyber physical incident', 'a multi - event cyber attack'), entity_labels:('INTRUSION_SET', 'ATTACK_PATTERN'), possible_labels:uses [/INST] uses </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('Ruslan Magomedovich Astamirov', 'Chechen Republic'), entity_labels:('GENERAL_IDENTITY', 'LOCATION'), possible_labels:located [/INST] located </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('LotL techniques', 'OT component'), entity_labels:('ATTACK_PATTERN', 'INFRASTRUCTURE'), possible_labels:target,uses [/INST] uses </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('threat actor', 'deploy ransomware'), entity_labels:('THREAT_ACTOR', 'ATTACK_PATTERN'), possible_labels:uses [/INST] uses </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('affected the availability of two of its main pages', 'EIB'), entity_labels:('IMPACT', 'VICTIM_IDENTITY'), possible_labels:faced [/INST] faced </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('Industroyer', 'to exploit weaknesses in those systems and the communication protocols they use – systems developed decades ago with almost no security measures .'), entity_labels:('MALWARE', 'ATTACK_MOTIVATION'), possible_labels:motive [/INST] motive </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('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', 'MacMa'), entity_labels:('COURSE_OF_ACTION', 'MALWARE'), possible_labels:No [/INST] counters </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('Attackers', 'long - term goals in mind'), entity_labels:('THREAT_ACTOR', 'ATTACK_SOPHISTICATION_LEVEL'), possible_labels:sophistication [/INST] sophistication </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('Analyze packet contents to detect communications that do not follow the expected protocol behavior for the port that is being used', 'GoldenSpy'), entity_labels:('COURSE_OF_ACTION', 'MALWARE'), possible_labels:No [/INST] counters </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('deployed as a second - stage backdoor by FULLHOUSE.DOORED .', 'TIEDYE'), entity_labels:('MALWARE_ANALYSIS', 'MALWARE'), possible_labels:m_analysis,characterizes [/INST] m_analysis </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('Winnti group', 'rarely ever stay static in terms of both tools and tactics'), entity_labels:('THREAT_ACTOR', 'ATTACK_PATTERN'), possible_labels:uses [/INST] uses </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:("Miniduke 's main backdoor module", 'MiniDuke attacks'), entity_labels:('MALWARE', 'INTRUSION_SET'), possible_labels:uses,tech_attributed [/INST] uses </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('Ensure incident response', 'Russian state'), entity_labels:('COURSE_OF_ACTION', 'CAMPAIGN'), possible_labels:No [/INST] counters </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('Aclip', 'Slack API'), entity_labels:('MALWARE', 'ATTACK_TOOL'), possible_labels:uses [/INST] target </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('RTM', 'Port 44443'), entity_labels:('THREAT_ACTOR', 'OBSERVED_DATA'), possible_labels:uses,controls [/INST] uses </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('Analyze packet contents to detect communications that do not follow the expected protocol behavior for the port that is being used', 'PoetRAT'), entity_labels:('COURSE_OF_ACTION', 'MALWARE'), possible_labels:No [/INST] counters </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('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', 'TrickBot'), entity_labels:('COURSE_OF_ACTION', 'MALWARE'), possible_labels:No [/INST] counters </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('Peru', 'online video game companies'), entity_labels:('LOCATION', 'VICTIM_IDENTITY'), possible_labels:No [/INST] located </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('Winnti malware', "abuse stolen certificates to prevent the malware they 're spreading from being detected by various security protections"), entity_labels:('MALWARE', 'ATTACK_PATTERN'), possible_labels:uses [/INST] uses </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('APT29', 'to obtain copies of victim mailboxes'), entity_labels:('THREAT_ACTOR', 'IMPACT'), possible_labels:No [/INST] caused </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('Facilitation extrinsic Cyber attackers', 'proxies'), entity_labels:('INTRUSION_SET', 'ATTACK_TOOL'), possible_labels:uses,controls [/INST] uses </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('Will Harrison', 'Ashley Madison'), entity_labels:('THREAT_ACTOR', 'VICTIM_IDENTITY'), possible_labels:target [/INST] target </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('DDoS attacks', 'Anonymous Sudan'), entity_labels:('INTRUSION_SET', 'THREAT_ACTOR'), possible_labels:attributed [/INST] attributed </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('several federal agencies', 'US'), entity_labels:('VICTIM_IDENTITY', 'LOCATION'), possible_labels:located [/INST] located </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('a series of failed and successful attempts over time to get deeper and deeper into a target ’s network', 'businesses'), entity_labels:('ATTACK_PATTERN', 'VICTIM_IDENTITY'), possible_labels:target [/INST] target </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('RAT', 'StrifeWater'), entity_labels:('ATTACK_PATTERN', 'MALWARE'), possible_labels:uses,delivers [/INST] uses </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('attacker', 'malware'), entity_labels:('THREAT_ACTOR', 'MALWARE'), possible_labels:uses,controls [/INST] uses </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('identified on systems with names that masquaraded as legitimate binaries and also produced AOT files upon translation', 'attacker backdoors'), entity_labels:('INDICATOR', 'THREAT_ACTOR'), possible_labels:i_indicate [/INST] i_indicate </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('Enforce principle of least privilege through authorization policies', 'malicious cyber actors'), entity_labels:('COURSE_OF_ACTION', 'THREAT_ACTOR'), possible_labels:No [/INST] counters </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('campaign', 'a government in Asia'), entity_labels:('CAMPAIGN', 'VICTIM_IDENTITY'), possible_labels:target [/INST] target </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('MuddyWater', 'new cyberespionage campaign'), entity_labels:('THREAT_ACTOR', 'CAMPAIGN'), possible_labels:No [/INST] uses </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('attackers', 'political activists'), entity_labels:('THREAT_ACTOR', 'VICTIM_IDENTITY'), possible_labels:target [/INST] target </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('Review trust relationships .', 'malicious cyber actors'), entity_labels:('COURSE_OF_ACTION', 'THREAT_ACTOR'), possible_labels:No [/INST] counters </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('pro - Russia hacktivists', 'Western nations'), entity_labels:('THREAT_ACTOR', 'VICTIM_IDENTITY'), possible_labels:target [/INST] target </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('APT29', 'added additional permissions ( such as Mail . Read and Mail . ReadWrite ) to compromised Application or Service Principals'), entity_labels:('THREAT_ACTOR', 'IMPACT'), possible_labels:No [/INST] caused </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('Ransomware and Financial Stability Act', 'ransomware'), entity_labels:('COURSE_OF_ACTION', 'MALWARE'), possible_labels:No [/INST] counters </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('mass missile strikes on critical infrastructure across Ukraine', 'Ukrainian critical infrastructure organization'), entity_labels:('IMPACT', 'VICTIM_IDENTITY'), possible_labels:faced [/INST] faced </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('HAFNIUM', 'law firms'), entity_labels:('THREAT_ACTOR', 'VICTIM_IDENTITY'), possible_labels:target [/INST] target </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('Moses Staff', 'encrypts files'), entity_labels:('THREAT_ACTOR', 'ATTACK_PATTERN'), possible_labels:uses [/INST] uses </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('identify and exploit an organizations weak spots', 'put lives at risk'), entity_labels:('ATTACK_PATTERN', 'IMPACT'), possible_labels:No [/INST] caused </s>
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('Sandworm', 'CADDYWIPER'), entity_labels:('THREAT_ACTOR', 'MALWARE'), possible_labels:uses,controls [/INST] uses </s>