Malware analysis coding's

As for the malware analysis process, we used a set of coding structures for the analysis work, so the following query is based on python for implementing the analysis process 

import hashlib

import os

def calculate_hash(file_path):

    """Calculate MD5 and SHA256 hashes of a file."""

    md5_hash = hashlib.md5()

    sha256_hash = hashlib.sha256()

    

    with open(file_path, "rb") as file:

        while chunk := file.read(4096):

            md5_hash.update(chunk)

            sha256_hash.update(chunk)

    

    return md5_hash.hexdigest(), sha256_hash.hexdigest()

def analyze_file(file_path):

    """Analyze a file and print out basic information."""

    if not os.path.isfile(file_path):

        print("File not found.")

        return

    

    file_size = os.path.getsize(file_path)

    md5_hash, sha256_hash = calculate_hash(file_path)

    

    print(f"File: {file_path}")

    print(f"Size: {file_size

Legitimate security-related code snippets commonly used in malware analysis or security research:

Static Analysis Tools Integration: Code that integrates with static analysis tools like YARA or PEiD to scan files for known malware signatures.

Python-based

import yara def scan_file(file_path): 

rules = yara.compile('malware_signatures.yar') 

matches = rules.match(file_path) 

if matches: 

            print("Malware signatures found:", matches) 

else:

            print("No malware signatures found.")

Dynamic Analysis Instrumentation: 

Code that sets up a virtual environment to analyze malware behaviour dynamically, such as monitoring system calls or network traffic.

Python-based

import subprocess def run_malware(malware_path): try: subprocess.run(malware_path, timeout=30) except subprocess.TimeoutExpired: print("Execution timed out. Possibly evasive behavior.") except Exception as e: print("Error occurred during execution:", e)

Network Traffic Analysis:

Code that captures and analyzes network traffic for suspicious or malicious activity.

Python-based

import scapy.all as scapy def sniff_network(interface="eth0"): scapy.sniff(iface=interface, store=False, prn=process_packet) def process_packet(packet): # Process packets here (e.g., extract headers, payloads, analyze protocols) pass

File Analysis:

Code that extracts metadata or analyzes the content of files for potential threats.

Python-based

import magic def analyze_file(file_path): mime_type = magic.from_file(file_path, mime=True) if "executable" in mime_type: print("File is executable. Potential malware.") else: print("File is not executable.")

Behavioural Analysis:

Code that monitors system behaviour, such as registry, file system, or process activity changes.

Python-based

import psutil def monitor_processes(): for proc in psutil.process_iter(['pid', 'name', 'username']): print(proc.info)

These examples demonstrate legitimate techniques used in security research and malware analysis to understand and mitigate potential threats. It's important to use these techniques responsibly and ethically within legal boundaries.