AI Driven Automated Malware Analysis and Classification Workflow

Automated Malware Behavior Analysis and Classification

1. Initial Malware Sample Collection

1.1 Source Identification

Identify sources for malware samples, such as honeypots, threat intelligence feeds, and user submissions.

1.2 Sample Acquisition

Utilize automated tools like VirusTotal and Hybrid Analysis to collect and aggregate malware samples.

2. Static Analysis

2.1 Code Examination

Employ static analysis tools such as PEStudio and Ghidra to examine the binary code for signatures and anomalies.

2.2 Feature Extraction

Utilize AI-driven feature extraction tools to identify patterns and characteristics of the malware.

3. Dynamic Analysis

3.1 Sandbox Environment Setup

Set up a controlled environment using tools like Cuckoo Sandbox to execute malware samples safely.

3.2 Behavior Monitoring

Implement AI-based monitoring solutions to track the behavior of malware during execution, capturing system calls, network activity, and file changes.

4. Data Analysis and Classification

4.1 Machine Learning Model Training

Utilize machine learning frameworks such as TensorFlow or Scikit-learn to train models on collected behavior data for classification.

4.2 Anomaly Detection

Incorporate AI algorithms to detect anomalies in malware behavior, assisting in classification into known categories (e.g., ransomware, trojans).

5. Reporting and Threat Intelligence Integration

5.1 Automated Reporting

Generate automated reports using tools like Malware Analysis Report Generator that summarize findings and classifications.

5.2 Integration with Threat Intelligence Platforms

Feed classified data back into threat intelligence platforms such as Recorded Future or ThreatConnect for enhanced threat detection capabilities.

6. Continuous Improvement

6.1 Feedback Loop

Establish a feedback loop to continuously improve machine learning models based on new malware samples and behaviors.

6.2 Tool Updates and Adaptation

Regularly update analysis tools and AI models to adapt to evolving malware tactics and techniques.