SSMA is a simple malware analyzer written in Python 3.

• Analyze PE file's header and sections (number of sections, entropy of sections/PE file, suspicious section names, suspicious flags in the characteristics of the PE file, etc.)

• Analyze ELF file for Linux malware analysis, it uses various open source tools (ldd, readelf, strings) to display ELF header structure, ASCII/UNICODE strings, shared objects, section header, symbol table, etc.

• Searches for possible domains, e-mail addresses, IP addresses in the strings of the file.

• Checks if domains are blacklisted based on abuse.ch's Ransomware Domain Blocklist and malwaredomains.com's blocklist.

• Looks for Windows functions commonly used by malware.

• Get results from VirusTotal and/or upload files.

• Malware detection based on Yara-rules

• Detect well-known software packers.

• Detect the existence of cryptographic algorithms.

• Detect anti-debug and anti-virtualization techniques used by malware to evade automated analysis.

• Find if documents have been crafted to leverage malicious code.

• Generate json format report.

• Mass analysis by specifying a folder.

git clone https://github.com/secrary/SSMA

cd SSMA

sudo pip3 install -r requirements.txt

python3 ssma.py -h

git clone https://github.com/secrary/SSMA
cd SSMA
virtualenv -p python3 env
source env/bin/activate
pip3 install -r requirements.txt
python3 ssma.py -h

Additional: ssdeep - Installation

More: Simple Static Malware Analyzer

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