AnkanaTalukdar/iOS-Sensitive-Data-Storage-Analysis-Report

GitHub: AnkanaTalukdar/iOS-Sensitive-Data-Storage-Analysis-Report

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## **iOS Sensitive Data Storage Analysis Report** #### **Title:** *“Virtual Ubuntu Analysis Pipeline (NAT Network Architecture)”* ##### **Technical Environment:** *Ubuntu-based iOS SAST Lab* ##### **Objective:** *“Identify local sensitive storage vulnerabilities across iOS Keychain configurations, Property Lists, and Local Databases”* 1. **Executive Summary:** This assessment evaluated the data storage security of *TargetApp* by extracting and analyzing its application components within a localized virtual environment. The analysis uncovered critical data exposure flaws in how the application manages user session tokens, backend keys, and device hardware encryption settings. If exploited, an attacker with physical access to the device or local file system backups could completely compromise user accounts and internal infrastructure endpoints. |**Threat ID**|**Target Component**|**Technical Vulnerability**|**OWASP Mobile Risk Mapping**|**Severity**|**Recommended Mitigation**| |-|-|-|-|-|-| |THREAT-01|user\_session.db|Plaintext exposure of active JWT session tokens inside a raw SQLite file.|M2: Insecure Data Storage|High|Implement application-layer database encryption utilizing SQLCipher.| |THREAT-02|com.targetapp.config.bin.plist|Infrastructure credentials (*BackendAPIKey*) stored unencrypted inside configuration preferences.|M1: Improper Credential Usage|High|Shift hardcoded keys out of local files; fetch them dynamically over TLS during initialization| |THREAT-03|TargetAppExecutable|Static binary configuration reveals deployment of weak accessibility masks (*kSecAttrAccessibleAlways*).|M2: Insecure Data Storage|Medium|Recompile the app binary using hardware-backed *kSecAttrAccessibleWhenUnlocked.*| ##### **2. Detailed Vulnerability Analysis** **I. Insecure Local Session Storage (Plaintext SQLite DB)** **• Vulnerability Class:** CWE-312 (Cleartext Storage of Sensitive Information) **• Location:** AppData/Documents/user\_session.db **• Analysis Tool Utilized:** sqlite3 **• Evidence Gathered:** fig1 **• Risk Impact:** High. Active authorization JSON Web Tokens (JWT) and administrative access flags are written to the disk entirely unencrypted. An attacker extracting an unencrypted iTunes backup can steal these active session keys to bypass login screens and hijack user accounts. **• Remediation:** Implement an application-level encrypted SQLite container using SQLCipher. Alternatively, ensure that short-lived session identifiers are stored exclusively in the iOS Keychain and cleared upon application termination. **II. Infrastructure Key Disclosure (Insecure Preference Storage)** **• Vulnerability Class:** CWE-522 (Insufficiently Protected Credentials) **• Location:** AppData/Library/Preferences/*com.targetapp.config.bin.plist* **• Analysis Tool Utilized:** libplist-utils (*plistutil*) **• Evidence Gathered:** fig2 **• Risk Impact:** High. Although the application correctly compiles the target preferences into a binary *plist* format (*.bin.plist*), this does not provide encryption or genuine protection. Decompiling the binary *plist* instantly reveals a production-grade cloud services API key (*BackendAPIKey*), which can be misused to access or abuse corporate backend infrastructure. **• Remediation:** Remove static infrastructure keys from local device client builds entirely. Use an asynchronous key exchange pattern over secure TLS channels during runtime initialization, or store long-lived production secrets strictly within the iOS Keychain. **III. Weak Cryptographic Protection Policy (Keychain Misconfiguration)** **• Vulnerability Class:** CWE-656 (Reliance on Security Through Obscurity via Weak Security Constants) **• Location:** *TargetApp.app*/*TargetAppExecutable* (Compiled Application Binary) **• Analysis Tool Utilized:** strings \& grep regex processing **• Evidence Gathered:** fig3 **• Risk Impact:** Medium. The application explicitly calls the *kSecAttrAccessibleAlways* constant when creating Keychain records. This tells the iOS operating system to keep the data unlocked and readable even when the device is locked, or immediately following an unattended system reboot, exposing the keychain secrets prematurely. **• Remediation:** Recompile the application binary to utilize context-aware data protection classes. Update the Keychain accessibility variables to use *kSecAttrAccessibleWhenUnlocked* (accessible only while the device is actively unlocked by the user) or *kSecAttrAccessibleAfterFirstUnlock* to align with standard mobile security benchmarks. ##### **3. Conclusion** The analysis successfully isolated and mapped critical security regressions across all three core local storage tiers. Implementing proper application-layer database encryption, migrating secrets out of client preference *plist* configurations, and enforcing strong hardware-backed iOS Keychain constants will bring the application back into alignment with secure mobile development standards.