AI Driven Malware Analysis and Classification Workflow Guide

Adaptive Malware Analysis and Classification

1. Data Collection

1.1. Source Identification

Identify various sources of malware samples including:

• Open-source repositories
• Threat intelligence feeds
• Internal security logs

1.2. Data Acquisition

Utilize automated tools to collect malware samples. Examples include:

• VirusTotal API for sample retrieval
• MalwareBazaar for community-shared samples

2. Pre-Processing

2.1. Sample Normalization

Standardize malware samples to ensure uniformity for analysis.

2.2. Feature Extraction

Implement AI-driven tools for feature extraction:

• PEStudio for static analysis
• YARA for pattern matching

3. Malware Analysis

3.1. Static Analysis

Employ AI algorithms to analyze the code structure without execution:

• Use tools like Cuckoo Sandbox for automated static analysis.

3.2. Dynamic Analysis

Utilize AI for behavioral analysis during execution:

• Integrate tools like Any.run for interactive analysis.

3.3. Hybrid Analysis

Combine static and dynamic analysis using:

• Hybrid Analysis platform for comprehensive insights.

4. Classification

4.1. Machine Learning Model Training

Train machine learning models using labeled datasets:

• Utilize TensorFlow or PyTorch for model development.

4.2. Classification Algorithms

Implement classification algorithms such as:

• Random Forest
• Support Vector Machines (SVM)

5. Reporting and Action

5.1. Automated Reporting

Generate reports using AI-driven reporting tools:

• Use tools like Splunk for visualization and reporting.

5.2. Incident Response

Integrate findings into incident response workflows:

• Utilize SOAR (Security Orchestration, Automation and Response) platforms like Palo Alto Networks Cortex XSOAR.

6. Continuous Improvement

6.1. Feedback Loop

Establish a feedback loop to refine AI models based on new data.

6.2. Threat Intelligence Integration

Continuously update models with new threat intelligence:

• Incorporate feeds from platforms like Recorded Future.

6.3. Review and Adaptation

Regularly review the workflow and adapt to emerging threats.