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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.
DeepseekModel
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质量 优秀 · 90
v1.0.0
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标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
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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下载的 .skill 包内含以下字段。
| 字段 | 说明 |
|---|---|
| format | 格式标识(skill/v1) |
| skill_id | 技能唯一 ID |
| name | 技能名称 |
| version | 版本号 |
| description | 技能描述 |
| category | 所属分类(数组) |
| trigger_words | 触发词列表 |
| tags | 标签列表 |
| source | 来源标识 |
| source_url | 来源链接(本页地址) |
| exported_at | 导出时间(每次下载生成) |
| system_prompt | 系统提示词正文 |
| model_config | 模型参数:provider / model / temperature / max_tokens / top_p |
| examples | 示例 |
| install_guide | 各平台导入说明(Coze / Dify / Claude / 自定义框架) |