analyzing-linux-elf-malware

name	analyzing-linux-elf-malware
description	Analyze malicious Linux ELF binaries — botnets, cryptominers, ransomware, and rootkits targeting Linux servers, containers, and cloud infrastructure — through static analysis, dynamic tracing, and reverse engineering of x86_64 and ARM samples. Use when investigating Linux malware, triaging a suspicious ELF binary, assessing a compromised Linux server, or analyzing container-targeted malware.
domain	cybersecurity
subdomain	malware-analysis
tags	["malware","Linux","ELF","reverse-engineering","server-malware"]
version	1.0.0
author	mahipal
license	Apache-2.0
nist_csf	["DE.AE-02","RS.AN-03","ID.RA-01","DE.CM-01"]
mitre_attack	["T1027","T1059.004","T1620","T1574.006"]
mitre_f3	{"version":"1.1","tactics":["positioning","monetization","reconnaissance"],"techniques":[{"id":"T1219","name":"Remote Access Tools","tactic":"positioning","source":"attack"},{"id":"T1555","name":"Credentials from Password Stores","tactic":"reconnaissance","source":"attack"},{"id":"F1018","name":"Convert to Cryptocurrency","tactic":"monetization","source":"f3"},{"id":"F1047","name":"Transfer of funds","tactic":"monetization","source":"f3"}]}

Analyzing Linux ELF Malware

When to Use

• A Linux server or container has been compromised and suspicious ELF binaries are found
• Analyzing Linux botnets (Mirai, Gafgyt, XorDDoS), cryptominers, or ransomware
• Investigating malware targeting cloud infrastructure, Docker containers, or Kubernetes pods
• Reverse engineering Linux rootkits and kernel modules
• Analyzing cross-platform malware compiled for Linux x86_64, ARM, or MIPS architectures

Do not use for Windows PE binary analysis; use PEStudio, Ghidra, or IDA for Windows malware.

Prerequisites

• Ghidra or IDA with Linux ELF support for disassembly and decompilation
• Linux analysis VM (Ubuntu 22.04 recommended) with development tools installed
• strace, ltrace, and GDB for dynamic analysis and debugging
• readelf, objdump, and nm from GNU binutils for static inspection
• Radare2 for quick binary triage and scripted analysis
• Docker for isolated container-based malware execution

Workflow

Step 1: Identify ELF Binary Properties

Examine the ELF header and basic properties:

# File type identification
file suspect_binary

# Detailed ELF header analysis
readelf -h suspect_binary

# Section headers
readelf -S suspect_binary

# Program headers (segments)
readelf -l suspect_binary

# Symbol table (if not stripped)
readelf -s suspect_binary
nm suspect_binary 2>/dev/null

# Dynamic linking information
readelf -d suspect_binary
ldd suspect_binary 2>/dev/null  # Only on matching architecture!

# Compute hashes
md5sum suspect_binary
sha256sum suspect_binary

# Check for packing/UPX
upx -t suspect_binary

# Python-based ELF analysis
from elftools.elf.elffile import ELFFile
import hashlib

with open("suspect_binary", "rb") as f:
    data = f.read()
    sha256 = hashlib.sha256(data).hexdigest()

 (, )  f:
    elf = ELFFile(f)

    ()
    ()
    ()
    ()
    ()
    ()

    
    symtab = elf.get_section_by_name()
    ()

    
     math
     collections  Counter
     section  elf.iter_sections():
        data = section.data()
         (data) > :
            entropy = -((c/(data)) * math.log2(c/(data))
                           c  Counter(data).values()  c > )
             entropy > :
                ()