Awesome
Malware Organiser Tool
A simple tool to organise large malicious/benign files into a organised Structure.
Usage:
PreRequsite
Creation of Table
CREATE TABLE `file_meta` (
`md5` varchar(40) NOT NULL,
`sha256` varchar(80) NOT NULL,
`mime` varchar(100) NOT NULL,
`severity` varchar(10) NOT NULL,
`timestamp` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
`file_source` varchar(15) NOT NULL,
`file_size` varchar(30) NOT NULL,
`file_path` varchar(200) NOT NULL,
`file_new_location` varchar(200) NOT NULL,
`file_name` varchar(100) NOT NULL,
`author` varchar(30) NOT NULL,
`tags` varchar(250) NOT NULL,
PRIMARY KEY (`md5`)
) ENGINE=InnoDB DEFAULT CHARSET=latin1
Update Database Fields in the script file.
Edit the variable in the config.json file.
Application Usage
$ sudo python app.py -h
usage: app.py [-h] -f FOLDER -src SOURCE -sev {malicious,clean} [-d DELETE] -a
AUTHOR [-t TAGS]
optional arguments:
-h, --help show this help message and exit
-f FOLDER, --folder FOLDER
Samples Folder/File
-src SOURCE, --source SOURCE
Source from which malware is downloaded
-sev {malicious,clean}, --severity {malicious,clean}
Benign or Malicious
-d DELETE, --delete DELETE
Delete files from source folder after copying
-a AUTHOR, --author AUTHOR
Author name
-t TAGS, --tags TAGS Tags to classify the samples
Index samples based on the Condition
$ python query.py -h
usage: database.py [-h] -m MIME [-s SIZE] -src SOURCE -sev {malicious,clean}
-a AUTHOR [-t TAGS]
optional arguments:
-h, --help show this help message and exit
-m MIME, --mime MIME Mime Type of Files for query
-s SIZE, --size SIZE Size query of files (Specify Range in MB like 1,2 or 1 )
-src SOURCE, --source SOURCE
Source from which malware is downloaded
-sev {malicious,clean}, --severity {malicious,clean}
Benign or Malicious
-a AUTHOR, --author AUTHOR
Author name
-t TAGS, --tags TAGS Tags to classify the samples
Featues:
- Ability to classify malware/benign files based on the mime_type
- Index records in Database to fetch files which match different conditions like
- All pdf files with size less than 1MB and collected from Virustotal(Source)
- All clean files which are collected yesterday and are fresh files.
- Tagging different files based on family_name,source etc is implemented.