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Public Datasets

Entropy_of_PE_Sections Rows: 2161 | Cols: 5 | Reports Used: 716

Description: This dataset extracts the entropy of each of the PE sections of all benign reports and ransomware reports for detecting ransomware.

Dataset SHA256: 6a5500ac906d2fb4120643a531e00713aee8d4298bf1e11650e60954f31606e0

Features (sample):

	name	entropy	category	label	SHA256
0	.text	6.404235	Ransomware	M	ed01ebfbc9eb5bbea545af4d01bf5f1071661840480439c6e5babe8e080e41aa
1	.rdata	6.663571	Ransomware	M	ed01ebfbc9eb5bbea545af4d01bf5f1071661840480439c6e5babe8e080e41aa
...	...	...	...	...	...
2159	.reloc	5.524065	Ransomware	M	cf5ec678a2f836f859eb983eb633d529c25771b3b7505e74aa695b7ca00f9fa8
2160	.rsrc	4.717679	Ransomware	M	cf5ec678a2f836f859eb983eb633d529c25771b3b7505e74aa695b7ca00f9fa8

2161 rows × 5 columns

Created by: Avinash
Downloaded 1 times
Comments Enabled: True
Comments: 0

def process(data, filename, sha256, category, malicious):
    try:
        # Implement your data processing here, this function will get called with the data of each 
        # report category you have selected along with the filename of the report and hash. 
        # Do your processing and add your data to the features array, the save function will 
        # continue adding the features to a csv file along with the report sha256 until all the reports 
        # you selected have been processed. 
        ###

features_labels = ["name", "entropy", "category", "label"]
        features = []
        label =   "M" if malicious else "B"
        if "static" in data:
            if "pe_sections" in data["static"]:
                for pe in data["static"]["pe_sections"]:
                    features.append([pe["name"], pe["entropy"], category, label])                  
        
        ###
        return features_labels, features, sha256
        
    except Exception as e:
        log("|process error| " + filename + " -> " + sha256 + " (" + str(e) + ")")
        pass

Sept. 21, 2022, 3:52 p.m. Public Create New Vesion Download Dataset (222.4 KB)

Version: 1
Date: Jan. 12, 2023, 5:38 p.m.
Created by: Avinash
Description: Now with more data
Categories:

Rows: 8599 | Cols: 5 | Reports Used: 3084 Download Version 1 (893.5 KB)

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Public Datasets

Entropy_of_PE_Sections Rows: 2161 | Cols: 5 | Reports Used: 716

Reports Used

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