Ghidra

Overview

Ghidra is a malware analysis tool that appears across malware analysis workflows in this knowledge base. It is referenced as part of higher-level security analysis, investigation, monitoring, or validation activity rather than as an end in itself.

What It Is

Ghidra is best understood as a malware-analysis tool in this knowledge base. Its role is conceptual and system-facing rather than procedural: it gives analysts or defenders a structured way to examine evidence, model system behavior, or reason about security state.

How It Works

Ghidra works by turning technical inputs into more interpretable outputs at the system level. Across the source skills, it appears as part of larger analysis, investigation, monitoring, or validation loops rather than as a standalone end state.

Core Concepts

• golang
• ghidra
• reverse engineering
• malware analysis
• binary analysis
• go malware
• disassembly
• malware
• Linux
• ELF
• server malware
• ransomware

Typical Workflow

• offset = data.find(magic)
• readelf -h suspect_binary
• readelf -S suspect_binary
• readelf -l suspect_binary
• binwalk -e firmware.bin
• binwalk -eM firmware.bin
• External inspection: Document all physical interfaces (USB, Ethernet, serial ports, SD card slots), labels, FCC ID, and model numbers
• FCC ID lookup: Search the FCC database (fcc.gov/oet/ea/fccid) using the FCC ID to find internal photos, schematics, and radio frequency information
• Main processor/SoC (read markings, search datasheet)
• Flash memory chips (SPI NOR, NAND, eMMC)

Use Cases

• When investigating security incidents that require analyzing golang malware with ghidra
• When building detection rules or threat hunting queries for this domain
• When SOC analysts need structured procedures for this analysis type
• When validating security monitoring coverage for related attack techniques
• 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
• Running ldd on malware outside a sandbox (ldd can execute code in the binary)

Limitations

• Output still depends on context, data quality, and surrounding analysis.
• The tool should be interpreted as part of a broader workflow, not as a complete answer by itself.
• Capabilities and visibility vary depending on environment, integrations, and available inputs.

Related Tools

• MIPS, Binwalk, Extracting, And Analyzing Embedded File Systems And Compressed Data In Firmware Images, And Analyzing Embedded Firmware Images, And Drivers, And Embedded Data Within Firmware Images, And JTAG Protocols For Interfacing With Embedded Device Debug Interfaces

Sources

• analyzing-golang-malware-with-ghidra
• analyzing-linux-elf-malware
• analyzing-ransomware-encryption-mechanisms
• performing-firmware-malware-analysis
• performing-iot-security-assessment
• performing-plc-firmware-security-analysis
• reverse-engineering-ios-app-with-frida
• reverse-engineering-malware-with-ghidra