What it does. Reverse engineers Rust-compiled malware using IDA Pro and Ghidra, covering Part of mukul975/Anthropic-Cybersecurity-Skills (817 security skills) (mukul975/Anthropic-Cybersecurity-Skills).

Install

• npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill reverse-engineering-rust-malware, or copy the skill folder into ~/.claude/skills/reverse-engineering-rust-malware/.
• Raw file: curl -sL https://raw.githubusercontent.com/mukul975/Anthropic-Cybersecurity-Skills/HEAD/skills/reverse-engineering-rust-malware/SKILL.md

SKILL.md (verbatim)

name: reverse-engineering-rust-malware
description: Reverse engineers Rust-compiled malware using IDA Pro and Ghidra, covering
  techniques for non-null-terminated fat-pointer strings, monomorphized/duplicated
  generic code, Result/Option unwrap chains, crate dependency extraction, and Rust-specific
  control flow and calling conventions. Use when analyzing Rust-based malware samples
  (e.g. BlackCat/ALPHV, Hive, Buer Loader) or attack artifacts in an authorized, controlled
  environment.
domain: cybersecurity
subdomain: malware-analysis
tags:
- rust
- reverse-engineering
- malware-analysis
- ghidra
- ida-pro
- binary-analysis
- rust-malware
version: '1.0'
author: mahipal
license: Apache-2.0
nist_csf:
- DE.AE-02
- RS.AN-03
- ID.RA-01
- DE.CM-01
mitre_attack:
- T1027
- T1055
- T1140
- T1497

Reverse Engineering Rust Malware

Overview

Rust has become increasingly popular for malware development due to its cross-compilation, memory safety guarantees, and the complexity it introduces for reverse engineers. Rust binaries contain the entire standard library statically linked, producing large binaries with extensive boilerplate code. Key challenges include non-null-terminated strings (Rust uses fat pointers with pointer+length), monomorphization generating duplicated generic code, complex error handling (Result/Option unwrap chains), and unfamiliar calling conventions. Decompiling Rust to C produces unhelpful output compared to C/C++ binaries. Tools like Ghidra scripts for crate extraction, and training focused on Rust-specific patterns (2024-2025) help address these challenges. Notable Rust malware includes BlackCat/ALPHV ransomware, Hive ransomware variants, and Buer Loader.

When to Use

• When performing authorized security testing that involves reverse engineering rust malware
• When analyzing malware samples or attack artifacts in a controlled environment
• When conducting red team exercises or penetration testing engagements
• When building detection capabilities based on offensive technique understanding

Prerequisites

• IDA Pro 8.0+ or Ghidra 11.0+
• Rust toolchain for reference compilation
• Python 3.9+ for helper scripts
• Understanding of Rust memory model (ownership, borrowing)
• Familiarity with Rust string types (String, &str, CString)

Workflow

Step 1: Identify and Parse Rust Binary Metadata

#!/usr/bin/env python3
"""Analyze Rust malware binary metadata and extract crate dependencies."""
import re
import sys
import json


def identify_rust_binary(data):
    """Check if binary is Rust-compiled and extract version info."""
    indicators = {
        "rust_panic_strings": bool(re.search(rb'panicked at', data)),
        "rust_unwrap": bool(re.search(rb'called.*unwrap.*on.*None', data)),
        "core_panic": bool(re.search(rb'core::panicking', data)),
        "std_rt": bool(re.search(rb'std::rt::lang_start', data)),
        "cargo_path": bool(re.search(rb'\.cargo[/\\]registry', data)),
        "rustc_version": None,
    }

    version = re.search(rb'rustc\s+(\d+\.\d+\.\d+)', data)
    if version:
        indicators["rustc_version"] = version.group(1).decode()

    is_rust = sum(1 for v in indicators.values() if v) >= 2
    return is_rust, indicators


def extract_crates(data):
    """Extract Rust crate (dependency) names from binary strings."""
    crate_pattern = re.compile(
        rb'(?:crates\.io-[a-f0-9]+/|\.cargo/registry/src/[^/]+/)'
        rb'([\w-]+)-(\d+\.\d+\.\d+)'
    )
    crates = {}
    for match in crate_pattern.finditer(data):
        name = match.group(1).decode()
        version = match.group(2).decode()
        crates[name] = version

    # Also check for common malware-relevant crates
    suspicious_crates = {
        "reqwest": "HTTP client",
        "hyper": "HTTP library",
        "tokio": "Async runtime",
        "aes": "AES encryption",
        "chacha20": "ChaCha20 encryption",
        "rsa": "RSA encryption",
        "ring": "Crypto library",
        "base64": "Base64 encoding",
        "winapi": "Windows API bindings",
        "winreg": "Registry access",
        "sysinfo": "System information",
        "screenshots": "Screen capture",
        "clipboard": "Clipboard access",
        "keylogger": "Key logging",
    }

    capabilities = []
    for crate_name, description in suspicious_crates.items():
        if crate_name in crates:
            capabilities.append({
                "crate": crate_name,
                "version": crates[crate_name],
                "capability": description,
            })

    return crates, capabilities


def extract_rust_strings(data):
    """Extract strings handling Rust's non-null-terminated format."""
    # Rust strings are stored as pointer+length, but string literals
    # are often in .rodata as contiguous sequences
    strings = []
    ascii_pattern = re.compile(rb'[\x20-\x7e]{8,500}')
    for match in ascii_pattern.finditer(data):
        s = match.group().decode('ascii')
        # Filter for malware-relevant strings
        keywords = ['http', 'socket', 'encrypt', 'decrypt', 'shell',
                    'exec', 'cmd', 'upload', 'download', 'persist',
                    'registry', 'mutex', 'pipe', 'inject']
        if any(kw in s.lower() for kw in keywords):
            strings.append(s)

    return strings


if __name__ == "__main__":
    if len(sys.argv) < 2:
        print(f"Usage: {sys.argv[0]} <rust_binary>")
        sys.exit(1)

    with open(sys.argv[1], 'rb') as f:
        data = f.read()

    is_rust, indicators = identify_rust_binary(data)
    print(f"[{'+'if is_rust else '-'}] Rust binary: {is_rust}")
    print(json.dumps(indicators, indent=2, default=str))

    crates, capabilities = extract_crates(data)
    print(f"\n[+] Crates ({len(crates)}):")
    for name, ver in sorted(crates.items()):
        print(f"  {name} v{ver}")

    if capabilities:
        print(f"\n[!] Suspicious capabilities:")
        for cap in capabilities:
            print(f"  {cap['crate']} -> {cap['capability']}")

    strings = extract_rust_strings(data)
    if strings:
        print(f"\n[+] Suspicious strings ({len(strings)}):")
        for s in strings[:20]:
            print(f"  {s}")

Validation Criteria

• Binary correctly identified as Rust-compiled with version info
• Crate dependencies extracted revealing malware capabilities
• Rust-specific string extraction handles fat pointer format
• Main entry point and core logic functions identified
• Encryption, networking, and persistence code located

References

• Binary Defense - Extracting Secrets from Rust Malware
• Ghidra Extension for Rust Analysis
• Fuzzing Labs - Reversing Modern Binaries
• Bishop Fox - Rust for Malware Development

Other files in this skill

• LICENSE
• assets/template.md
• references/api-reference.md
• references/standards.md
• references/workflows.md
• scripts/agent.py

assets/template.md (verbatim)

Analysis Report Template - reverse-engineering-rust-malware

Sample Information

Findings

IOCs Extracted

Recommendations

references/api-reference.md (verbatim)

API Reference: Reverse Engineering Rust Malware

Rust Binary Indicators

Crate Extraction Pattern

Suspicious Crate Capabilities

Python Libraries

References

• Ghidra: https://ghidra-sre.org/
• Binary Defense Rust Analysis: https://binarydefense.com/resources/blog/
• Bishop Fox Rust Malware: https://bishopfox.com/blog/rust-for-malware-development

references/standards.md (verbatim)

Standards Reference - reverse-engineering-rust-malware

Applicable Standards

• MITRE ATT&CK Framework
• NIST SP 800-83 Guide to Malware Incident Prevention
• NIST SP 800-86 Guide to Integrating Forensic Techniques

Related MITRE ATT&CK Techniques

See SKILL.md for specific technique mappings.

references/workflows.md (verbatim)

Analysis Workflows - reverse-engineering-rust-malware

Primary Workflow

[Sample Collection] --> [Static Analysis] --> [Dynamic Analysis] --> [IOC Extraction]
                                                                          |
                                                                          v
                                                                 [Report Generation]

See SKILL.md for detailed step-by-step procedures.

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