Individual skill
analyzing-linux-elf-malware
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.
skills/analyzing-linux-elf-malware/SKILL.md
Source commit 54a798831d2266a3ca61ce68a7acb80b81160d57
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- Network or broad shell
- Last checked
- Nov 9, 2026
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- Repository stars (not skill ratings)
- 35,925
- Repository last updated
- Aug 31, 2026
- License
- Apache-2.0
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- ai-agents Repository topic
- claude-code Repository topic
- cybersecurity Repository topic
- incident-response Repository topic
- mitre-attack Repository topic
- penetration-testing Repository topic
- red-team Repository topic
- security Repository topic
- cloud-security Repository topic
- malware-analysis Repository topic
- malware Declared skill tag
- linux Declared skill tag
- elf Declared skill tag
- reverse-engineering Declared skill tag
- server-malware Declared skill tag
- engineering Derived category
- devops Derived category
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LICENSEasset · 11,255 bytesSKILL.mdcore · 12,537 bytesSKILL.mdcore · 12,537 bytesSKILL.mdcore · 12,537 bytesSKILL.mdcore · 12,537 bytesSKILL.mdcore · 12,537 bytesSKILL.mdcore · 12,537 bytesSKILL.mdcore · 12,537 bytesSKILL.mdcore · 12,537 bytesSKILL.mdcore · 12,537 bytesSKILL.mdcore · 12,537 bytesreferences/api-reference.mddoc · 3,126 bytesscripts/agent.pyruns · 8,794 bytes
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# 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