Prompt Enginnering for Mobile Threats and Analysis: A SOC Playbook

Jan 28, 2025By Luis Oliveira
Luis Oliveira

Introduction

Mobile devices have become an essential part of our personal and professional lives, but with their increased usage comes a growing threat landscape. Cybercriminals are constantly evolving their attack methods to exploit vulnerabilities in Android and iOS devices, making mobile security a critical focus for SOC teams.

This guide will help you understand mobile threats, identify vulnerabilities, and implement effective security measures to protect mobile environments. Whether you're a SOC analyst, security engineer, or IT professional, this playbook provides step-by-step instructions, security tools, and best practices to secure mobile devices against malware, phishing, unauthorized access, and data exfiltration.

By the end of this guide, you will learn: 

✔ How to detect, analyze, and respond to mobile malware incidents 

✔ The most effective tools to identify vulnerabilities in mobile applications 

✔ How to set up a mobile threat monitoring system and manage BYOD (Bring Your Own Device) security

✔ Step-by-step configuration and integration of SOC solutions with mobile security tools

cybersecurity implementation

Mobile Malware Incident Response Playbook

Step 1: Initial Detection & Triage

This step involves identifying signs that a mobile device may be compromised. Look for Indicators of Compromise (IoCs) such as unusual battery drain, excessive data usage, or unauthorized access attempts. Endpoint detection tools like Lookout, Zimperium, or Microsoft Defender for Endpoint help monitor for threats. Additionally, querying device logs can reveal suspicious activities:

adb logcat -v time | grep -i 'error'

Step 2: Containment

 Once a threat is detected, prevent it from spreading. Immediately isolate the affected device from enterprise networks and revoke active sessions using Mobile Device Management (MDM) solutions such as Intune, Jamf, or Workspace ONE. Additionally, place the device in Safe Mode to limit third-party app activity:

  • Android: Hold power button → Tap and hold "Power Off" →
    Safe Mode.

  • OS: Reboot while holding the volume down button.

Step 3: Investigation:

  • Check running processes:
adb shell ps | grep -i suspicious_app
  • Extract and analyze APK files for malware:
adb pull /data/app/com.suspicious.app.apk
  • Dump Application permissions:
adb shell dumpsys package com.suspicious.app | grep permission
  • Check network traffic
mitmproxy -p 8080


Unknown caller show on mobile

Step 4: Eradication & Recovery

  • Uninstall malicious applications:
adb uninstall com.suspicious.app
  • Reinstall the OS if persistence is detected.

  • Reset credentials and re-enroll the device in MDM.

Step 5: Reporting & Documentation

Documenting the incident is vital for improving security protocols and sharing threat intelligence. In this final step:

  • Generate an incident report detailing findings and responses.
  • Update threat intelligence feeds to help detect similar threats in the future.

  • Conduct post-incident review to identify areas for improvement.

Tools & techiniques for Mobile App Vulnerability Detection

Static Analysis Tools

  • MobSF (Mobile Security Framework)
          Overview: MobSF is an open-source tool designed for static analysis, dynamic analysis, and malware analysis of mobile apps. It helps SOC teams detect security flaws before deployment.

      • Installation & Setup:
              To install and set up MobSF for mobile app vulnerability detection follow these steps:
git clone https://github.com/MobSF/Mobile-Security-Framework-MobSF.git
cd Mobile-Security-Framework-MobSF
./setup.sh
cybersecurity team
  • Dependencies: Ensure that Python and Docker are installed before running the setup.

  • Accessing the interface: Once installed, open the web interface at http://localhost:8000  to upload and analyze APK files. 


    workshops that highlighted real-world threats and their potential impacts on both personal and organizational levels.

Integration with SOC (e.g., Splunk, QRadar):


To enhance wisibility and automate scanning results for SOC teams, integrate MobSF with SIEM platforms such as Splunk and QRadar.

Step 1 - Configure MobSF API for automated scanning

  • Enable the API: In MobSF settings, activate the API service.

  • Scan File Using API: Use the following JSON payload an APK and receive a scan report:

{

"action": "upload",

"file": "sample.apk"

}

Step 2 - Forward Scans Reports to SIEM

  • SIEM Integration: Configure Splunk or QRadar to receive alerts from MobSF.
    • For Splunk: Use HTTP Event Collector (HEC) to ingest the MobSF scan results.
    • For QRadar: Use a custom Log Source to parse and analyze MobSF reports.

Dynamic Analysis Tools

Frida (Runtime Manipulation):

Frida is a dynamic instrumentation toolkit that allows SOC teams to inspect and manipulate mobile applications during runtime, commonly for penetration testing and security assessments.

Installation & Setup:

To install Frida for runtime analysis, run the following command:

pip install frida-tools

  • -U: Connects to a USB device.

  • -n: Targets the application by name.

  • -i: Enables interactive mode for real-time commands.

SOC Integration: Forward intercepted API calls to SIEM for analysis

To capture and forward intercepted API calls to a SIEM platform:

1.      Enable Frida Logging for real-time interception.

2.      Forward to SIEM such as Splunk or QRadar via HTTP Event Collector (HEC) or Syslog.

Global Communication Network (World Map Credits To NASA)

Burp Suite (Network Traffic Interception)

Burp Suite is a web security testing tool used to intercept and analyze network traffic from mobile applications, often revealing vulnerabilities such as insecure transmissions.

Installation: 

  • Download: Obtain Burp Suite from portswigger.net and follow the on-screen installation instructions.

  • Dependencies: Ensure that Java is installed and configure the mobile device to use Burp Suite as a proxy.

Setup & Integration with SOC (Splunk Example)

Step 1: Enable Proxy Mode for Traffic Monitoring

  • Configure Proxy: Enable Burp Suite’s proxy listener on port 8080.
  • Set Mobile Proxy: Configure the mobile device’s Wi-Fi settings to route traffic through Burp Suite.

Step 2: Forward Intercepted Traffic to SIEM 

Configure the integration to forward logs from Burp Suite to a SIEM platform such as Splunk:

{

"source": "Burp Suite",

"event_type": "suspicious_http_request"

       }

  • Splunk: Use the HTTP Event Collector (HEC) to ingest logs.

  • QRadar: Configure a log source to parse and analyze the traffic.

Code Security & Reverse Engineering

Jadx (Decompile APKs)
Jadx is a command-line and GUI tool for decompiling Android application packages (APKs) to reveal their source code, which helps SOC teams identify vulnerabilities, inspect permissions, and understand the app’s behavior.

Decompiling an APK File:
Run the following command to decompile an APK into readable source files:

jadx -d output/ target.apk
  •  d output/: Specifies the directory where the decompiled files will be stored.
  • target.apk: The APK file to be analyzed.

    Usage in SOC Operations:
    Decompile APKs to analyze permissions, hardcoded credentials, and security flaws. Share findings with the SOC team for further action or alert integration.

Objection (iOS & Android Runtime Security Checks)

Objection is a runtime mobile exploration toolkit powered by Frida, designed for performing security assessments without requiring jailbreak or root access.


Running Objection for Mobile Security Checks:
To start a runtime security assessment on an app, use:

objection -g target.app explore
  • -g target.app: Targets the specified mobile application.
  • explore: Opens an interactive shell for runtime analysis.


Common Security Checks with Objection:

  • View Stored Credentials: Identify sensitive data stored insecurely.
  • Bypass Root Detection: Test anti-root or jailbreak protection.
  • Enumerate Files: Inspect files stored in the app's sandbox.

    SOC Integration: Forward runtime security logs to SIEM platforms (e.g., Splunk or QRadar) for real-time monitoring and alerting of detected vulnerabilities.


Cropped image of a woman receiving an alert message from bank regarding unauthorised credit card transaction on her smartphone

Setting Up a Mobile Threat Monitoring System

A. Implementing Mobile Threat Defense (MTD) Solutions.
MTD solutions proactively monitor mobile devices for threats, analyzing behaviors, detecting anomalies, and identifying network-based attacks. Leading solutions include Lookout, Zimperium, and Microsoft Defender.

Steps to Implement MTD Solutions:

1.  Select an MTD Platform:
Choose a tool based on your organization’s security needs.

2. Create an Account:
Register and configure user roles within the MTD dashboard.

3. Deploy Agents:
Install the MTD agent on company-owned and BYOD devices.

4. Integrate with SOC Tools:
Use APIs to stream alerts to SIEM platforms.


B. Integrating SIEM for Mobile Threat Visibility
Integrating mobile threat logs with a SIEM solution like Splunk or QRadar enables SOC teams to monitor patterns and respond to incidents promptly.

Configuration Steps:

1. Connect MTD to SIEM:
Configure the SIEM platform to accept logs via API.

2. Stream Mobile Logs:
Forward logs from MTD tools to SIEM.

3 . Monitor Behavioral Patterns:
Analyze anomalies using queries such as:

index=mobile_logs | stats count by event_type, device_id

4. Set Alerts:
Trigger alerts for suspicious patterns, such as excessive failed logins or abnormal network activity.

C. Monitoring & Alerting for BYOD Environments
Managing security for BYOD (Bring Your Own Device) environments is critical for ensuring that employee devices meet security standards.

Best Practices for BYOD Security:

1. Establish BYOD Security Policies: Implement and communicate security protocols for personal devices.

2. Use Security Monitoring Tools: Run system queries to ensure compliance:

osqueryi -A | select * from device_security_settings;

3. Enable Conditional Access Policies: Restrict access to enterprise applications based on security posture.

4. Apply Geofencing: Limit access to sensitive resources based on location.

5. Use AI-Based Anomaly Detection: Detect behavioral anomalies such as unusual login times or patterns.


Prompt Engineering Used:

Mobile Threats and Analysis

"Write a playbook for SOC teams to analyze and respond to mobile malware incidents targeting Android and iOS devices."

"Provide a list of tools and techniques for detecting mobile app vulnerabilities and assessing their impact on enterprise security."

"Create a guide for setting up a mobile threat monitoring system, including best practices for managing BYOD environments."

“Use commands that facilitates the instructions and the playbook tutorials for the most used tools”

"Complement using step-by-steep instruction, containing the name of the tool and it’s integration with SOC solutions, how to get these tools, how to create account, how to access, and configuring the integration using API or tool kits, then you can go ahead and explain the commands in both sides: the mobile tool and the SOC solution.
It needs to be easy to understand explanation."


Conclusion


Mobile threats continue to evolve, requiring SOC teams to stay ahead with proactive threat intelligence, forensic analysis, and monitoring strategies. Implementing a structured playbook, leveraging security tools, and enforcing BYOD policies will significantly enhance an organization’s mobile security posture.

💡 What challenges have you faced when securing mobile environments? Drop a comment below, and let’s discuss!

🔗 Stay updated with more SOC tutorials at Cyberfacti Academy!

🛡️ B-Aware & B-Safe!