Environment Preparation

MAIAT configures a secure, isolated Linux-based environment to analyze ELF binaries without risking host infection:

• Virtual Machine / Container Setup: Uses KVM, VirtualBox, or Docker containers with minimal Linux distributions (e.g., Alpine, Ubuntu Server).
• Network Isolation: Operates in NAT or air-gapped mode; traffic routed through monitoring tools.
• Snapshot Management: Takes clean pre-analysis snapshots for rapid reset after execution.
• Tool Deployment: Ensures availability of essential tools:
  • Static Analyzers: readelf, objdump, strings, Ghidra, Radare2.
  • Dynamic Tools: Cuckoo Mobile/Linux, strace, ltrace, GDB.
  • Behavior Monitors: Wireshark, auditd, sysmon-for-linux, osquery.
  • MAIAT Agents: Auto-deploys AI agents for deobfuscation, YARA matching, and IOC extraction.

Static Analysis

A MAIAT static analysis agent inspects the ELF without execution, focusing on structure and metadata:

• File Type Verification: Uses file and magic bytes to confirm ELF format; detects packed or fake binaries.
• ELF Header Inspection: Analyzes:
  • EI_CLASS (32/64-bit), EI_DATA (endianness)
  • e_type (executable, shared object), e_machine (architecture)
• Section & Segment Analysis: Checks for anomalies in:
  • .text, .data, .rodata
  • Unusual sections (e.g., .shstrtab manipulation)
  • Overlapping or writable code segments
• Symbol & Import Table Review: Extracts symbols via readelf -s; flags suspicious functions (e.g., system(), execve(), dlopen()).
• String Extraction: Searches for IPs, URLs, shell commands, or C2 patterns.
• Hashing & IOC Matching: Computes MD5/SHA256 and queries VirusTotal, AlienVault OTX, or internal MAIAT threat database.

Dynamic Analysis

MAIAT executes the binary in a sandboxed Linux environment to observe runtime behavior:

• Controlled Execution: Runs the ELF in a restricted user namespace with limited privileges.
• System Call Monitoring: Uses strace to log:
  • execve, fork, clone
  • socket, connect, sendto
  • open, write, unlink
• Library Call Tracing: Uses ltrace to monitor dynamic library calls (e.g., libc, libpcap).
• Network Activity: Captures traffic with Wireshark; detects C2 communication, beaconing, or data exfiltration.
• File & Registry (FS) Changes: Monitors file creation, modification, or persistence mechanisms (e.g., cron jobs, systemd services).
• Process Behavior: Detects process injection, daemonization, or anti-debugging tricks.

Advanced Analysis

For complex or obfuscated ELF binaries, MAIAT employs advanced reverse engineering:

• Disassembly & Decompilation: Uses Ghidra, Binary Ninja, or Radare2 to recover logic; AI agent identifies cryptographic routines or C2 protocols.
• Packer & Obfuscation Detection: Identifies tools like UPX, Shikata Ga Nai, or custom packers via entropy analysis.
• Unpacking Support: MAIAT automates memory dumping during execution to extract unpacked payloads.
• Anti-Analysis Evasion Detection: Flags:
  • Debug detection (ptrace checks)
  • Virtual machine detection (CPUID, timing)
  • Junk code, indirect jumps, control flow flattening
• Memory Forensics: Uses GDB and Volatility (for Linux memory images) to inspect runtime state and injected code.

Classification and Risk Assessment

A MAIAT classification agent evaluates the binary based on behavioral and structural indicators:

Threat Type

• Backdoor: Opens remote shell or command channel.
• Rootkit: Hides processes, files, or network connections.
• Cryptominer: Spawns mining processes (e.g., XMRig).
• Downloader: Fetches secondary payloads via HTTP/cURL.
• Wiper: Deletes or corrupts data (e.g., HermeticWiper variants).

Risk Level

• Low: Benign utility or known legitimate binary.
• Medium: Suspicious behavior but no confirmed payload.
• High: Confirmed C2 communication or persistence.
• Critical: Privilege escalation, lateral movement, or destructive behavior.

Reporting

A MAIAT reporting agent generates a detailed, structured report:

• Binary Overview: Filename, hash, architecture, compilation timestamp.
• Threat Summary: Malware family (e.g., Mirai, SSHMiner), TTPs used.
• Indicators of Compromise (IOCs):
  • File hashes (MD5, SHA256)
  • C2 IPs, domains, ports
  • Dropped files, cron entries, service names
• TTPs (MITRE ATT&CK for Linux):
  • T1059.004 - Unix Shell
  • T1071.001 - Application Layer Protocol: Web Protocols
  • T1036.005 - Masquerade as Legitimate Binary
  • T1543.002 - Create or Modify System Process: Systemd Service
• Mitigation Recommendations:
  • Block IOCs at firewall level.
  • Disable unnecessary binaries via AppArmor/SELinux.
  • Monitor for anomalous process trees or network connections.
  • Apply least-privilege principles for service accounts.

AI Agent Coordination

Within MAIAT, a central AI coordinator orchestrates the entire ELF analysis pipeline. It dynamically assigns tasks to specialized agents — static analyzer, deobfuscator, sandbox runner, IOC extractor — based on file characteristics. The system learns from each analysis, improving detection accuracy over time. MAIAT also integrates with SOAR platforms to automate threat response, such as quarantining files or blocking IPs, making it ideal for enterprise Linux security operations.