analyzing-malware-family-relationships-with-malpedia skill

Analyzing Malware Family Relationships with Malpedia

Overview

Malpedia is a collaborative platform maintained by Fraunhofer FKIE that catalogs malware families with their aliases, YARA rules, threat actor associations, and reference reports. With over 2,600 malware families documented, it serves as the definitive resource for understanding malware lineages, tracking variant evolution, and linking malware to specific threat groups. This skill covers querying the Malpedia API, mapping malware family relationships, extracting YARA rules for detection, and building intelligence on malware ecosystems used by adversaries.

When to Use

• When investigating security incidents that require analyzing malware family relationships with malpedia
• When building detection rules or threat hunting queries for this domain
• When SOC analysts need structured procedures for this analysis type
• When validating security monitoring coverage for related attack techniques

Prerequisites

• Python 3.9+ with requests, yara-python, stix2 libraries
• Malpedia API key (register at https://malpedia.caad.fkie.fraunhofer.de/)
• Understanding of malware classification and naming conventions
• Familiarity with YARA rule syntax for detection
• Access to malware samples for validation (optional)

Key Concepts

Malpedia Data Model

Malpedia organizes malware into Families (e.g., "win.cobalt_strike"), each containing: aliases (vendor-specific names like "Beacon", "CobaltStrike"), YARA rules (community and vendor-contributed), actor associations (threat groups using the family), reference reports (CTI reports documenting the family), and sample hashes (representative samples for each variant).

Malware Family Naming

Malpedia uses the format platform.family_name (e.g., win.emotet, elf.mirai, apk.flubot). Platforms include win (Windows), elf (Linux), apk (Android), osx (macOS), and py (Python). This standardized naming resolves the "many names" problem where different vendors assign different names to the same malware.

Family Relationships

Malware families have relationships including: parent-child (code reuse, forks), loader-payload (Emotet loads TrickBot loads Ryuk), shared authorship (same threat actor develops multiple tools), and infrastructure sharing (common C2 frameworks).

Workflow

Step 1: Query Malpedia API for Malware Families

import requests
import json
from collections import defaultdict

class MalpediaClient:
    BASE_URL = "https://malpedia.caad.fkie.fraunhofer.de/api"

    def __init__(self, api_key):
        self.headers = {"Authorization": f"apitoken {api_key}"}

    def get_family_list(self):
        """Get list of all malware families."""
        resp = requests.get(f"{self.BASE_URL}/list/families",
                           headers=self.headers, timeout=30)
        if resp.status_code == 200:
            families = resp.json()
            print(f"[+] Malpedia: {len(families)} malware families")
            return families
        return {}

    def get_family_info(self, family_name):
        """Get detailed information about a malware family."""
        resp = requests.get(f"{self.BASE_URL}/get/family/{family_name}",
                           headers=self.headers, timeout=30)
        if resp.status_code == 200:
            info = resp.json()
            print(f"[+] Family: {family_name}")
            print(f"    Aliases: {info.get('alt_names', [])}")
            print(f"    Actors: {[a.get('value', '') for a in info.get('attribution', [])]}")
            print(f"    URLs: {len(info.get('urls'

Step 2: Map Malware Family Relationships

class MalwareFamilyMapper:
    def __init__(self, malpedia_client):
        self.client = malpedia_client
        self.relationship_graph = defaultdict(list)

    def map_actor_ecosystem(self, actor_name):
        """Map the malware ecosystem used by a threat actor."""
        actor_data = self.client.get_actor_families(actor_name)
        families = actor_data.get("families", {})

        ecosystem = {
            "actor": actor_name,
            "families": [],
            "family_count": len(families),
        }

        for family_name in families:
            info = self.client.get_family_info(family_name)
            if info:
                ecosystem["families"].append({
                    "name": family_name,
                    "aliases": info.get("alt_names", []),
                    "description": info.get("description", "")[:200],
                    "shared_actors": [
                        a.get("value", "")
                        for a in info.get("attribution", [])
                    ],
                    "reference_count": len(info.get("urls", [])),
                })

        print(f"\n=== {actor_name} Malware Ecosystem ===")
        for fam in ecosystem["fam

Step 3: Extract and Compile YARA Rules

def compile_yara_ruleset(client, family_names, output_file="malware_yara_rules.yar"):
    """Compile YARA rules for multiple malware families."""
    all_rules = []
    for family in family_names:
        yara_data = client.get_family_yara(family)
        if isinstance(yara_data, dict):
            for source, rules in yara_data.items():
                if isinstance(rules, list):
                    for rule in rules:
                        all_rules.append(f"// Source: {source} - Family: {family}\n{rule}")
                elif isinstance(rules, str):
                    all_rules.append(f"// Source: {source} - Family: {family}\n{rules}")

    with open(output_file, "w") as f:
        f.write(f"// Malpedia YARA Rules - {len(all_rules)} rules\n")
        f.write(f"// Families: {', '.join(family_names)}\n\n")
        for rule in all_rules:
            f.write(rule + "\n\n")

    print(f"[+] Compiled {len(all_rules)} YARA rules to {output_file}")
    return all_rules

compile_yara_ruleset(client, ["win.emotet", "win.trickbot", "win.cobalt_strike"])

Validation Criteria

• Malpedia API queried successfully for malware families
• Family information retrieved with aliases, actors, and references
• Actor-family relationships mapped correctly
• Shared tooling between actors identified
• YARA rules extracted and compiled for detection
• Loader-payload chains documented for threat intelligence

References

• Malpedia Platform
• Malpedia API Documentation
• Malpedia Research Paper
• YARA Rules Project
• malwoverview Multi-Platform Tool
• CyberAtlas: Malpedia Integration