Files
mukul975 27c6414ca5 Add folder anatomy (scripts/agent.py + references/api-reference.md) for 648 cybersecurity skills
Complete skill folder anatomy across all cybersecurity skills:
- scripts/agent.py: 80-150 line Python agents using real libraries (impacket,
  boto3, azure-mgmt-*, kubernetes, pefile, yara, scapy, shodan, stix2, etc.)
- references/api-reference.md: real API documentation with method signatures
- LICENSE: MIT license for all skill folders
2026-03-10 21:02:12 +01:00

209 lines
7.2 KiB
Python

#!/usr/bin/env python3
"""Agent for Linux memory forensics using LiME acquisition and Volatility 3."""
import os
import json
import subprocess
import argparse
from datetime import datetime
from pathlib import Path
def acquire_memory_lime(output_path, lime_format="lime"):
"""Acquire memory using LiME kernel module."""
kernel_version = subprocess.run(
["uname", "-r"], capture_output=True, text=True
).stdout.strip()
lime_module = f"lime-{kernel_version}.ko"
if not Path(lime_module).exists():
lime_module = "lime.ko"
cmd = ["insmod", lime_module, f"path={output_path}", f"format={lime_format}"]
result = subprocess.run(cmd, capture_output=True, text=True)
return {
"status": "success" if result.returncode == 0 else "failed",
"output_path": output_path,
"format": lime_format,
"kernel": kernel_version,
"stderr": result.stderr,
}
def run_vol3_plugin(image_path, plugin_name, extra_args=None):
"""Run a Volatility 3 plugin and capture output."""
cmd = ["vol3", "-f", image_path, plugin_name]
if extra_args:
cmd.extend(extra_args)
try:
result = subprocess.run(
cmd, capture_output=True, text=True, timeout=300,
)
lines = result.stdout.strip().splitlines()
return {"plugin": plugin_name, "output": lines, "error": result.stderr.strip()}
except subprocess.TimeoutExpired:
return {"plugin": plugin_name, "output": [], "error": "Timeout"}
def parse_pslist_output(lines):
"""Parse Volatility linux.pslist output into structured data."""
processes = []
for line in lines:
parts = line.split()
if len(parts) >= 4 and parts[0].isdigit():
processes.append({
"pid": int(parts[0]),
"ppid": int(parts[1]) if parts[1].isdigit() else 0,
"name": parts[-1],
})
return processes
def list_processes(image_path):
"""List all processes from memory image."""
result = run_vol3_plugin(image_path, "linux.pslist")
return parse_pslist_output(result.get("output", []))
def extract_bash_history(image_path):
"""Extract bash command history from memory."""
result = run_vol3_plugin(image_path, "linux.bash")
commands = []
for line in result.get("output", []):
parts = line.split(None, 3)
if len(parts) >= 4 and parts[0].isdigit():
commands.append({
"pid": int(parts[0]),
"name": parts[1],
"timestamp": parts[2] if len(parts) > 2 else "",
"command": parts[3] if len(parts) > 3 else "",
})
return commands
def list_network_connections(image_path):
"""List network connections from memory."""
result = run_vol3_plugin(image_path, "linux.sockstat")
connections = []
for line in result.get("output", []):
if "TCP" in line or "UDP" in line:
connections.append(line.strip())
return connections
def list_kernel_modules(image_path):
"""List loaded kernel modules to detect rootkits."""
result = run_vol3_plugin(image_path, "linux.lsmod")
modules = []
for line in result.get("output", []):
parts = line.split()
if parts and not parts[0].startswith("Offset"):
modules.append({"name": parts[-1] if parts else line.strip()})
return modules
def detect_hidden_processes(image_path):
"""Compare pslist vs psscan to find hidden processes."""
pslist = run_vol3_plugin(image_path, "linux.pslist")
psscan = run_vol3_plugin(image_path, "linux.psscan")
pslist_pids = set()
for line in pslist.get("output", []):
parts = line.split()
if parts and parts[0].isdigit():
pslist_pids.add(int(parts[0]))
hidden = []
for line in psscan.get("output", []):
parts = line.split()
if parts and parts[0].isdigit():
pid = int(parts[0])
if pid not in pslist_pids and pid > 0:
hidden.append({"pid": pid, "line": line.strip()})
return hidden
def detect_suspicious_commands(bash_history):
"""Flag suspicious commands in bash history."""
suspicious_patterns = [
"curl.*|.*sh", "wget.*&&.*chmod", "base64.*-d",
"nc.*-e", "python.*-c.*import.*socket",
"nohup", "rm.*-rf.*/var/log", "history.*-c",
"iptables.*-F", "chmod.*777", "chattr.*-i",
]
import re
findings = []
for entry in bash_history:
cmd = entry.get("command", "")
for pattern in suspicious_patterns:
if re.search(pattern, cmd, re.IGNORECASE):
findings.append({
"pid": entry["pid"],
"command": cmd,
"pattern": pattern,
"severity": "HIGH",
})
break
return findings
def check_malfind(image_path):
"""Run malfind to detect injected code."""
result = run_vol3_plugin(image_path, "linux.malfind")
return result.get("output", [])
def main():
parser = argparse.ArgumentParser(description="LiME + Volatility 3 Forensics Agent")
parser.add_argument("--image", help="Path to memory image")
parser.add_argument("--acquire", help="Output path for LiME acquisition")
parser.add_argument("--output", default="memory_forensics_report.json")
parser.add_argument("--action", choices=[
"acquire", "pslist", "bash", "network", "modules",
"hidden", "malfind", "full_analysis"
], default="full_analysis")
args = parser.parse_args()
report = {"generated_at": datetime.utcnow().isoformat(), "findings": {}}
if args.action == "acquire" and args.acquire:
result = acquire_memory_lime(args.acquire)
report["findings"]["acquisition"] = result
print(f"[+] Memory acquisition: {result['status']}")
return
if not args.image:
print("[-] --image required for analysis actions")
return
if args.action in ("pslist", "full_analysis"):
procs = list_processes(args.image)
report["findings"]["processes"] = procs
print(f"[+] Processes: {len(procs)}")
if args.action in ("bash", "full_analysis"):
history = extract_bash_history(args.image)
report["findings"]["bash_history"] = history
suspicious = detect_suspicious_commands(history)
report["findings"]["suspicious_commands"] = suspicious
print(f"[+] Bash commands: {len(history)}, Suspicious: {len(suspicious)}")
if args.action in ("network", "full_analysis"):
conns = list_network_connections(args.image)
report["findings"]["connections"] = conns
print(f"[+] Network connections: {len(conns)}")
if args.action in ("modules", "full_analysis"):
modules = list_kernel_modules(args.image)
report["findings"]["kernel_modules"] = modules
print(f"[+] Kernel modules: {len(modules)}")
if args.action in ("hidden", "full_analysis"):
hidden = detect_hidden_processes(args.image)
report["findings"]["hidden_processes"] = hidden
print(f"[+] Hidden processes: {len(hidden)}")
with open(args.output, "w") as f:
json.dump(report, f, indent=2, default=str)
print(f"[+] Report saved to {args.output}")
if __name__ == "__main__":
main()