The retomos from jesperatstockholmuniversity

retomos's Introduction

RETOMOS

Website: https://dsv.su.se

RETOMOS (Recognition of Tor Malware and Onion Services) is a small program for analsying and classifying Tor using malware samples based on API calls etc to find .onion services. It consists of two scripts: retomos_featue_extractor.py that extracts features from Cuckoo reports and retomos_malware_classifier.py that classifies Cuckoo reports as either Tor dependant or not.

Usage:
    retomos.py -i <input_file>
    retomos.py -d <training_database> ./db/training.db
    retomos.py -i <input_file.json> -m <classification_model>
    retomos.py -t target/class label <0, or 1, or 2>
    retomos.py -f -i <input_file.json> -t <0, or 1, or 2>
    retomos.py -u -d <training_database>

Examples:
    retomos.py -d malware_behaviour_log.db
    retomos.py -d malware_behaviour_log.db -m svm
    retomos.py -h | --help
    retomos.py -f -i <input_file(s)> -d <database> -t 1
    retomos.py --urls --feed --target 2 --model "ALL"

Options:
    -i --input          Input file(s) to analyse (Cuckoo report in .json format)
    -m --model <classification_model>      The type of classification model to use
        SVM, LR, NB, RF, DT or ALL (default: ALL) [default: ALL]
    -d --database       Training database to use for the classification. Mandatory argument.
    -f --feed           Feed the database with new malware analysis reports (.json format). Requires --input and --database
    -t --target         Target (class) label for input file to feed to training set database. 1 for Tor related, 0 for non-Tor related, and 2 (default) for unknown.
    -u --urls           Extract .onion URLs from Tor classified malware sample reports