Client Overview:

A customer‑facing car tracking mobile application engaged our security team to assess the security of its iOS application and supporting backend services. The application enables users to monitor vehicles in real time, review trip history, and receive vehicle‑related alerts, making it highly sensitive from both privacy and physical‑safety perspectives.

Objective:

The objective of the engagement was to identify vulnerabilities that could:

Expose real‑time vehicle location and trip history

Enable unauthorized access to tracking data

Allow backend compromise or data manipulation

Bypass mobile security controls intended to protect users

Methodology:

The assessment was conducted in alignment with OWASP Mobile Top 10, OWASP MASVS (iOS), and OWASP API Security Top 10, and included:

iOS application static and runtime analysis

Secure storage and Keychain usage review

SSL/TLS and certificate pinning assessment

Network traffic interception and API testing

Authentication, authorization, and session handling testing

Exploitation and validation of high‑risk findings

Key Findings

The assessment identified multiple critical, high, and medium‑risk vulnerabilities across the mobile application and backend services:

🔴 Critical Severity:

SQL Injection in Vehicle Telemetry API

Allowed attackers to access and manipulate vehicle tracking data and associated user records.

Broken Object‑Level Authorization Allowing Cross‑Vehicle Tracking

Enabled users to view real‑time location and trip history of vehicles not linked to their account.

🟠 High Severity:

SSL Pinning Bypass

Certificate pinning controls could be bypassed, allowing attackers on compromised or untrusted networks to intercept and manipulate application traffic.

Jailbreak Detection Bypass

The application’s jailbreak protection mechanisms could be bypassed, enabling full dynamic analysis and runtime manipulation on jailbroken devices.

Cross‑Site Scripting (XSS) in WebView‑Based Reporting Module

Allowed injection of malicious scripts within embedded web content, potentially leading to session compromise.

CRLF Injection in Notification and Logging Endpoints

Enabled response splitting and manipulation of server‑generated responses and logs.

🟡 Medium Severity:

Insecure Storage of Authentication Tokens Outside Keychain

Insufficient Certificate Validation Under Certain Network Conditions

Verbose API Error Messages Exposing Internal Logic

Impact:

If exploited, the identified vulnerabilities could have resulted in:

Unauthorized real‑time vehicle tracking and location abuse

Exposure of historical movement and behavioral data

Interception and manipulation of application traffic

Increased attack surface due to compromised mobile security controls

Serious privacy, safety, and reputational risks

Challenges Encountered:

During the engagement, the team faced several iOS‑ and domain‑specific challenges, including:

Continuous background location updates, requiring precise timing for traffic interception

Hybrid native and WebView components, increasing testing complexity

High‑volume telemetry data, making identification of security‑relevant endpoints more difficult

Multiple device states (locked, background, foreground) affecting application behavior

These challenges were addressed through controlled testing and advanced iOS runtime analysis techniques.

Recommendations:

Key remediation actions included:

Implementing parameterized queries to eliminate SQL injection

Enforcing strict object‑level authorization for vehicle access

Strengthening SSL pinning with runtime integrity checks

Enhancing jailbreak detection and anti‑tampering protections

Securing WebView components and sanitizing user‑controlled input

Storing all sensitive data exclusively in the iOS Keychain

Hardening server responses to prevent CRLF injection

Value Delivered:

Critical vulnerabilities impacting vehicle privacy and backend systems were identified and validated

Mobile security controls bypass scenarios were demonstrated in controlled conditions

Actionable, prioritized remediation guidance enabled rapid risk reduction

The overall security posture of the iOS car tracking platform was significantly improved