Need Technical Data For Multiple Ransomware Attacks

Hi guys, I am looking to train a machine learning model for the following data types any leads would be appreciated to find datasets that might contain these values –

Filter_size (bytes): The size of the encrypted file in bytes; File Entropy: The degree to which the encrypted file’s contents are unpredictable or random; Network Traffic (KB): The total quantity of data transferred over the network during the ransomware attack; Number_of_Encrypted_Extensions: How many different types of files the ransomware can encrypt; Time_to_Encrypt (seconds): The number of seconds needed for the ransomware to encrypt the data; Cloud Provider: The name of the cloud storage provider where the secret information is stored; Number_of_Shared_Folders: The total number of infected shared folders; Encryption Strength: How secure the ransomware’s encryption algorithm is; CPU Usage (%): Ransomware CPU use as a percentage; Suspicious_Activity: An attack-related suspiciousness indicator expressed as a binary variable; Ransomware_Type (Output): The ransomware strain (the dependent variable) that was used in the attack.