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Android APK malware analysis

Android APK malware analysis​

Overview​

This workflow automates comprehensive Android APK malware analysis by combining static code analysis with AI-powered threat intelligence extraction. It leverages APKHunt's OWASP MASVS-based static analysis capabilities and processes results through specialized AI agents to generate detailed malware verdicts, risk scoring, and actionable intelligence reports for rapid mobile threat triage.

How It Works​

  1. APK File Input: Receives potentially malicious Android APK files through the input node for comprehensive security analysis.
  2. Static Code Analysis: Executes APKHunt to perform deep static analysis based on OWASP MASVS framework, extracting permissions, API calls, code patterns, suspicious strings, network endpoints, cryptographic implementations, exported components, and security vulnerabilities.
  3. Parallel AI-Powered Analysis: Distributes APKHunt output across three specialized AI agents for focused examination:
    • Triage Agent: Performs initial threat classification, severity assessment, and rapid identification of critical security indicators for quick decision-making
    • Deep Dive Agent: Conducts detailed behavioral analysis, code pattern examination, and in-depth investigation of suspicious functionality and malware techniques
    • Additional Analysis Agent: Processes supplementary security findings, permission abuse patterns, and contextual threat intelligence to complete the assessment
  4. Intelligence Consolidation: Merges findings from all three AI analysis streams through the merge agent to create a unified threat intelligence dataset with comprehensive coverage.
  5. AI-Generated Verdict: Processes consolidated analysis through final verdict agent to generate definitive malware classification (MALICIOUS/BENIGN/SUSPICIOUS), malware type identification (Trojan, Spyware, Adware, Repackaged), confidence scoring (0-100%), and total risk assessment (0-100) with categorical breakdowns.
  6. Comprehensive HTML Report Generation: Produces detailed security report containing executive summary, malware verdict, risk scoring matrices, indicators of compromise (IOCs), permission analysis, exported components inventory, detected red flags, code vulnerabilities, and threat actor attribution when available.
  7. Email Report Delivery: Sends the complete HTML malware analysis report to designated security analysts and incident response teams via email for immediate review and response coordination.

Who is this for?​

  • Mobile malware analysts requiring automated APK triage and threat classification capabilities
  • Incident response teams investigating suspicious Android applications from infected devices or security incidents
  • Mobile security researchers analyzing repackaged applications and Android malware campaigns
  • Security operations centers processing high volumes of suspicious APK samples from threat intelligence feeds
  • Application security teams validating third-party Android applications and SDKs before deployment
  • Threat intelligence analysts tracking mobile malware families and attribution patterns

What problem does this workflow solve?​

  • Eliminates time-intensive manual APK analysis by automating OWASP MASVS-based static code examination and AI-powered threat assessment
  • Enables rapid malware triage through automated risk scoring and verdict generation, allowing analysts to prioritize complex cases over simple threats
  • Provides comprehensive security intelligence through parallel AI analysis of different security aspects, ensuring thorough coverage without analyst fatigue
  • Reduces analysis time from hours to minutes by automating code review, permission analysis, vulnerability detection, and IOC extraction
  • Standardizes mobile malware analysis methodology through consistent OWASP MASVS framework application and structured reporting format
  • Delivers immediate actionable intelligence with definitive verdicts, confidence scores, and detailed technical findings that support rapid incident response decisions