performing-memory-forensics-with-volatility3-plugins

使用 Volatility3 插件进行内存取证

概述

Volatility3（v2.26.0+，功能对齐版本于 2025 年 5 月发布）是内存取证的标准框架，取代了旧版的 Volatility2。它分析 Windows、Linux 和 macOS 的 RAM 转储，以检测磁盘取证无法发现的恶意进程、代码注入、rootkit、凭据窃取和网络连接。关键插件包括 windows.malfind（检测表示注入的 RWX 内存区域）、windows.psscan（查找隐藏进程）、windows.dlllist（枚举已加载模块）、windows.netscan（活动网络连接）和 windows.handles（打开的文件/注册表句柄）。2024 年插件竞赛引入了 ETW Scan，用于从内存中提取 Windows 事件跟踪数据。

何时使用

• 在进行安全评估并使用 volatility 插件进行内存取证时
• 在遵循相关安全事件的事件响应流程时
• 在执行安全测试或审计活动时
• 通过动手测试验证安全控制措施时

前提条件

• 已安装 volatility3 框架的 Python 3.9+
• 内存转储文件（.raw、.dmp、.vmem、.lime）
• Windows 符号表（ISF 文件，自动下载）
• 了解 Windows 进程内存架构
• 用于内存中扫描的 YARA 集成

工作流

步骤 1：用于恶意软件检测的进程分析

#!/usr/bin/env python3
"""Volatility3-based memory forensics automation for malware analysis."""
import subprocess
import json
import sys
import os


class Vol3Analyzer:
    """Automate Volatility3 plugin execution for malware analysis."""

    def __init__(self, dump_path, vol3_path="vol"):
        self.dump_path = dump_path
        self.vol3 = vol3_path
        self.results = {}

    def run_plugin(self, plugin, extra_args=None):
        """Execute a Volatility3 plugin and capture output."""
        cmd = [
            self.vol3, "-f", self.dump_path,
            "-r", "json", plugin,
        ]
        if extra_args:
            cmd.extend(extra_args)

        try:
            result = subprocess.run(
                cmd, capture_output=True, text=True, timeout=300
            )
            if result.returncode == 0:
                return json.loads(result.stdout)
        except (subprocess.TimeoutExpired, json.JSONDecodeError) as e:
            print(f"  [!] {plugin} failed: {e}")
        return None

    def detect_process_injection(self):
        """Use malfind to detect injected code regions."""
        print("[+] Running windows.malfind (code injection detection)")
        results = self.run_plugin("windows.malfind")

        injected = []
        if results:
            for entry in results:
                injected.append({
                    "pid": entry.get("PID"),
                    "process": entry.get("Process"),
                    "address": entry.get("Start VPN"),
                    "protection": entry.get("Protection"),
                    "hexdump": entry.get("Hexdump", "")[:200],
                })
                print(f"  [!] Injection in PID {entry.get('PID')} "
                      f"({entry.get('Process')}) at {entry.get('Start VPN')}")

        self.results["injected_processes"] = injected
        return injected

    def find_hidden_processes(self):
        """Compare pslist vs psscan to find hidden processes."""
        print("[+] Running process comparison (pslist vs psscan)")

        pslist = self.run_plugin("windows.pslist")
        psscan = self.run_plugin("windows.psscan")

        if not pslist or not psscan:
            return []

        list_pids = {e.get("PID") for e in pslist}
        scan_pids = {e.get("PID") for e in psscan}

        hidden = scan_pids - list_pids
        if hidden:
            print(f"  [!] {len(hidden)} hidden processes found!")
            for entry in psscan:
                if entry.get("PID") in hidden:
                    print(f"    PID {entry['PID']}: {entry.get('ImageFileName')}")

        self.results["hidden_processes"] = list(hidden)
        return list(hidden)

    def analyze_network(self):
        """Extract active network connections."""
        print("[+] Running windows.netscan")
        results = self.run_plugin("windows.netscan")

        connections = []
        if results:
            for entry in results:
                conn = {
                    "pid": entry.get("PID"),
                    "process": entry.get("Owner"),
                    "local": f"{entry.get('LocalAddr')}:{entry.get('LocalPort')}",
                    "remote": f"{entry.get('ForeignAddr')}:{entry.get('ForeignPort')}",
                    "state": entry.get("State"),
                    "protocol": entry.get("Proto"),
                }
                connections.append(conn)

        self.results["network_connections"] = connections
        return connections

    def extract_dlls(self, pid=None):
        """List loaded DLLs per process."""
        print(f"[+] Running windows.dlllist{f' (PID {pid})' if pid else ''}")
        args = ["--pid", str(pid)] if pid else None
        results = self.run_plugin("windows.dlllist", args)

        dlls = []
        if results:
            for entry in results:
                dlls.append({
                    "pid": entry.get("PID"),
                    "process": entry.get("Process"),
                    "base": entry.get("Base"),
                    "name": entry.get("Name"),
                    "path": entry.get("Path"),
                    "size": entry.get("Size"),
                })

        self.results["loaded_dlls"] = dlls
        return dlls

    def scan_with_yara(self, rules_path):
        """Scan memory with YARA rules."""
        print(f"[+] Running windows.yarascan with {rules_path}")
        results = self.run_plugin(
            "windows.yarascan",
            ["--yara-file", rules_path]
        )

        matches = []
        if results:
            for entry in results:
                matches.append({
                    "rule": entry.get("Rule"),
                    "pid": entry.get("PID"),
                    "process": entry.get("Process"),
                    "offset": entry.get("Offset"),
                })

        self.results["yara_matches"] = matches
        return matches

    def full_triage(self):
        """Run full malware-focused memory triage."""
        print(f"[*] Full memory triage: {self.dump_path}")
        print("=" * 60)

        self.detect_process_injection()
        self.find_hidden_processes()
        self.analyze_network()

        return self.results


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

    analyzer = Vol3Analyzer(sys.argv[1])
    results = analyzer.full_triage()
    print(json.dumps(results, indent=2, default=str))

验证标准

• 使用正确的操作系统配置文件解析内存转储
• 通过 malfind 检测到具有 RWX 区域的注入进程
• 通过 pslist/psscan 比较识别出隐藏进程
• 网络连接揭示 C2 通信端点
• YARA 规则匹配内存中的已知恶意软件特征
• 从 lsass 进程内存中提取凭据产物

参考

• Volatility Foundation
• Volatility3 GitHub
• 2024 Volatility Plugin Contest
• Memory Forensics with Volatility 3
• MITRE ATT&CK T1055 - Process Injection