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reverse-engineering-rust-malware

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.

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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
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フィールド 説明
formatフォーマット識別子(skill/v1)
skill_idスキル固有 ID
nameスキル名
versionバージョン
description説明
categoryカテゴリ(配列)
trigger_wordsトリガーワード
tagsタグ
sourceソース
source_urlソース URL(本ページ)
exported_atエクスポート日時(ダウンロード毎)
system_promptシステムプロンプト本文
model_configモデル設定:provider / model / temperature / max_tokens / top_p
examplesサンプル
install_guide各プラットフォームの導入説明(Coze / Dify / Claude / カスタム)
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