MAIAT

PE Analysis

Analyzing a PE (Portable Executable) file is a fundamental practice for malware analysts. MAIAT automates and enhances every phase — from environment setup to final reporting.

1

Environment Preparation

An AI agent configures a secure, isolated environment to prevent malware from spreading or causing harm:

  • Virtual Machine Setup: Uses tools like VirtualBox, VMware, or Hyper-V with network isolation (NAT or host-only).
  • Snapshot Management: Creates and restores clean snapshots after each analysis.
  • Tool Deployment: Ensures availability of essential tools:
    • Disassemblers/Decompilers: IDA Pro, Ghidra, Radare2.
    • Debuggers: x64dbg, OllyDbg.
    • Analyzers: PEStudio, CFF Explorer, pefile (Python library).
    • Sandboxes: Cuckoo Sandbox, Hybrid Analysis, Any.Run.
    • Monitoring Tools: Process Monitor, Wireshark, Process Hacker.
2

Static Analysis

An AI-driven static analysis agent evaluates the file without executing it:

  • File Type Verification: Validates using file command or PEStudio.
  • Header Analysis: Examines DOS Header, NT Headers, Section Headers. Flags anomalies in .text, .data, .rsrc.
  • Entry Point & Tables:
    • Determines program entry point.
    • Analyzes imported/exported functions (e.g., kernel32.dll).
    • Flags suspicious APIs: VirtualAlloc, WriteProcessMemory.
  • String Extraction: Identifies URLs, registry keys, malware signatures.
  • Signature & Hash Validation:
    • Verifies digital signatures.
    • Computes hashes (MD5, SHA256) and cross-references with VirusTotal or OTX.
3

Dynamic Analysis

Executes the file in a sandbox to observe real-time behavior:

  • Behavior Monitoring:
    • Tracks file modifications, registry changes, network activity.
    • Detects persistence: Run keys, Task Scheduler.
  • API Monitoring: Traces system calls using API Monitor — flags process injection, remote threads.
  • Network Traffic Analysis: Captures C2 communication or exfiltration via Wireshark.
  • Debugging: Uses x64dbg to analyze execution flow and extract payloads.
4

Advanced Analysis

For obfuscated or packed malware, deeper reverse-engineering is applied:

  • Disassembly & Decompilation: Uses Ghidra/IDA Pro to uncover anti-debugging, crypto routines.
  • Packer Detection: Identifies UPX, Themida — unpacks via dumping or emulation.
  • Persistence Analysis: Detects hidden services, registry autoruns, scheduled tasks.
5

Classification & Risk Assessment

AI classifies the threat and assigns risk level:

  • Malware Type:
    • Virus: Self-replicating
    • Worm: Network-propagating
    • Trojan: Disguised as legitimate
    • Ransomware: Encrypts files
    • Spyware: Steals data
    • Rootkit: Hides presence
  • Risk Level:
    • Low: No harmful activity
    • Medium: Suspicious behavior
    • High: Confirmed damage or theft
6

Reporting

Generates structured, actionable intelligence:

  • Malware description and MITRE ATT&CK mapping
  • Indicators of Compromise (IOCs): hashes, IPs, domains, filenames
  • Mitigation steps and detection rules (YARA, Sigma)

AI Agent Coordination

The entire workflow is orchestrated by a central AI coordinator that assigns tasks to specialized agents, ensuring seamless integration and real-time decision-making. This approach enhances efficiency, reduces manual effort, and improves accuracy in malware detection and classification.

Automate Your PE Analysis

MAIAT handles the heavy lifting — so your team can focus on strategy, hunting, and response.

See How MAIAT Works