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Analyzing Golang Malware With Ghidra

skill-mukul975-anthropic-cybersecurity-skills-analyzing-golang-malware-with-ghidra · by mukul975

Reverse engineer Go-compiled malware using Ghidra with specialized scripts

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Install

$ agentstack add skill-mukul975-anthropic-cybersecurity-skills-analyzing-golang-malware-with-ghidra

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Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access Used
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution Used

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

Analyzing Golang Malware with Ghidra

Overview

Go (Golang) has become a popular language for malware authors due to its cross-compilation capabilities, static linking that produces self-contained binaries, and the complexity it introduces for reverse engineering. Go binaries contain the entire runtime, standard library, and all dependencies statically linked, resulting in large binaries (often 5-15MB) with thousands of functions. Ghidra struggles with Go-specific string formats (non-null-terminated), stripped function names, and goroutine concurrency patterns. Specialized tools like GoResolver (Volexity, 2025) use control-flow graph similarity to automatically deobfuscate and recover function names in stripped or obfuscated Go binaries.

When to Use

  • 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

Prerequisites

  • Ghidra 11.0+ with JDK 17+
  • GoResolver plugin (for function name recovery)
  • Go Reverse Engineering Tool Kit (go-re.tk)
  • Python 3.9+ for helper scripts
  • Understanding of Go runtime internals (goroutines, channels, interfaces)
  • Familiarity with Go binary structure (pclntab, moduledata, itab)

Key Concepts

Go Binary Structure

Go binaries embed rich metadata in the pclntab (PC Line Table) structure, which maps program counters to function names, source files, and line numbers. Even stripped binaries retain this metadata. The moduledata structure contains pointers to type information, itabs (interface tables), and the pclntab itself. Go strings are stored as a pointer-length pair rather than null-terminated C strings.

Function Recovery in Stripped Binaries

Despite stripping symbol tables, Go binaries retain function names within the pclntab. However, obfuscation tools like garble rename functions to random strings. GoResolver addresses this by computing control-flow graph signatures of obfuscated functions and matching them against a database of known Go standard library and third-party package functions.

Crate/Dependency Extraction

Go's dependency management embeds module paths and version strings in the binary. Extracting these reveals the malware's third-party dependencies (HTTP libraries, encryption packages, C2 frameworks), which provides insight into capabilities without full reverse engineering.

Workflow

Step 1: Initial Binary Analysis

#!/usr/bin/env python3
"""Analyze Go binary metadata for malware analysis."""
import struct
import sys
import re

def find_go_build_info(data):
    """Extract Go build information from binary."""
    # Go buildinfo magic: \xff Go buildinf:
    magic = b'\xff Go buildinf:'
    offset = data.find(magic)
    if offset == -1:
        return None

    print(f"[+] Go build info at offset 0x{offset:x}")

    # Extract Go version string nearby
    go_version = re.search(rb'go\d+\.\d+(?:\.\d+)?', data[offset:offset+256])
    if go_version:
        print(f"  Go Version: {go_version.group().decode()}")

    return offset

def find_pclntab(data):
    """Locate the pclntab (PC Line Table) structure."""
    # pclntab magic bytes vary by Go version
    magics = {
        b'\xfb\xff\xff\xff\x00\x00': "Go 1.2-1.15",
        b'\xfa\xff\xff\xff\x00\x00': "Go 1.16-1.17",
        b'\xf1\xff\xff\xff\x00\x00': "Go 1.18-1.19",
        b'\xf0\xff\xff\xff\x00\x00': "Go 1.20+",
    }

    for magic, version in magics.items():
        offset = data.find(magic)
        if offset != -1:
            print(f"[+] pclntab found at 0x{offset:x} ({version})")
            return offset, version

    return None, None

def extract_function_names(data, pclntab_offset):
    """Extract function names from pclntab."""
    if pclntab_offset is None:
        return []

    functions = []
    # Function name strings follow specific patterns
    func_pattern = re.compile(
        rb'(?:main|runtime|fmt|net|os|crypto|encoding|io|sync|'
        rb'syscall|reflect|strings|bytes|path|time|math|sort|'
        rb'github\.com|golang\.org)[/\.][\w/.]+',
    )

    for match in func_pattern.finditer(data):
        name = match.group().decode('utf-8', errors='replace')
        if len(name) > 4 and len(name) ")
        sys.exit(1)
    analyze_go_binary(sys.argv[1])

Step 2: Ghidra Analysis Script

# Ghidra script (run within Ghidra's script manager)
# Save as AnalyzeGoBinary.py in Ghidra scripts directory

# @category MalwareAnalysis
# @description Analyze Go binary structure and recover metadata

def analyze_go_binary_ghidra():
    """Ghidra script for Go binary analysis."""
    from ghidra.program.model.mem import MemoryAccessException

    program = getCurrentProgram()
    memory = program.getMemory()
    listing = program.getListing()

    print("[+] Go Binary Analysis Script")
    print(f"  Program: {program.getName()}")

    # Find pclntab
    pclntab_magics = [
        bytes([0xf0, 0xff, 0xff, 0xff]),  # Go 1.20+
        bytes([0xf1, 0xff, 0xff, 0xff]),  # Go 1.18-1.19
        bytes([0xfa, 0xff, 0xff, 0xff]),  # Go 1.16-1.17
        bytes([0xfb, 0xff, 0xff, 0xff]),  # Go 1.2-1.15
    ]

    for magic in pclntab_magics:
        addr = memory.findBytes(
            program.getMinAddress(), magic, None, True, None
        )
        if addr:
            print(f"[+] pclntab found at {addr}")
            # Create label
            program.getSymbolTable().createLabel(
                addr, "go_pclntab", None,
                ghidra.program.model.symbol.SourceType.ANALYSIS
            )
            break

    # Fix Go string definitions
    # Go strings are ptr+len, not null terminated
    print("[+] Fixing Go string references...")

    # Search for function names containing package paths
    symbol_table = program.getSymbolTable()
    func_count = 0
    for symbol in symbol_table.getAllSymbols(True):
        name = symbol.getName()
        if ('.' in name and
            any(pkg in name for pkg in
                ['main.', 'runtime.', 'net.', 'crypto.', 'os.'])):
            func_count += 1

    print(f"[+] Found {func_count} Go function symbols")

# Execute
analyze_go_binary_ghidra()

Validation Criteria

  • Go version and build information extracted from binary
  • pclntab located and parsed for function name recovery
  • Third-party dependencies identified revealing malware capabilities
  • Main package functions enumerated for targeted analysis
  • Network, crypto, and OS exec functions categorized
  • Ghidra analysis correctly labels Go runtime structures

References

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.