/analyzing-malware-family-relationships-with-malpedia

name: analyzing-malware-family-relationships-with-malpedia
description: Query the Malpedia API to look up malware family aliases and naming
  (platform.family_name), pull community/vendor YARA rules, link families to threat
  actors, and map family relationships such as loader-payload chains and shared authorship.
  Use when researching a malware family's aliases, lineage, or actor attribution,
  or when sourcing YARA rules for detection.
domain: cybersecurity
subdomain: threat-intelligence
tags:
- malpedia
- malware-family
- yara
- threat-actor
- malware-tracking
- threat-intelligence
- variant-analysis
- malware-intelligence
version: '1.0'
author: mahipal
license: Apache-2.0
nist_csf:
- ID.RA-01
- ID.RA-05
- DE.CM-01
- DE.AE-02
mitre_attack:
- T1587.001
- T1027
- T1071

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', []))} references")
            return info
        print(f"[-] Family not found: {family_name}")
        return None

    def get_family_yara(self, family_name):
        """Get YARA rules for a malware family."""
        resp = requests.get(f"{self.BASE_URL}/get/yara/{family_name}",
                           headers=self.headers, timeout=30)
        if resp.status_code == 200:
            rules = resp.json()
            rule_count = sum(len(v) for v in rules.values()) if isinstance(rules, dict) else 0
            print(f"[+] YARA rules for {family_name}: {rule_count} rules")
            return rules
        return {}

    def get_actor_families(self, actor_name):
        """Get malware families associated with a threat actor."""
        resp = requests.get(f"{self.BASE_URL}/get/actor/{actor_name}",
                           headers=self.headers, timeout=30)
        if resp.status_code == 200:
            data = resp.json()
            families = data.get("families", {})
            print(f"[+] {actor_name}: {len(families)} malware families")
            return data
        return {}

    def search_families(self, keyword):
        """Search families by keyword."""
        all_families = self.get_family_list()
        matches = {
            name: info for name, info in all_families.items()
            if keyword.lower() in name.lower()
            or keyword.lower() in str(info.get("alt_names", [])).lower()
        }
        print(f"[+] Search '{keyword}': {len(matches)} matches")
        return matches

client = MalpediaClient("YOUR_MALPEDIA_API_KEY")
families = client.get