本文へ移動
cccskills
無料GitHub で公開

exploiting-insecure-data-storage-in-mobile

Identifies and exploits insecure local data storage vulnerabilities in Android and iOS mobile applications including unencrypted databases, world-readable files, insecure SharedPreferences, plaintext credential storage, and improper keychain/keystore usage. Use when performing mobile penetration testing focused on OWASP M9 (Insecure Data Storage) or assessing compliance with MASVS-STORAGE requirements. Activates for requests involving mobile data storage security, local storage exploitation, SharedPreferences analysis, or mobile data leakage assessment.

インストール方法を見る

含まれるファイル(8)

  • SKILL.md7.6 KB
  • assets/template.md1.2 KB
  • LICENSE11.0 KB
  • references/api-reference.md2.6 KB
  • references/standards.md2.8 KB
  • references/workflows.md3.2 KB
  • scripts/agent.py6.5 KB
  • scripts/process.py10.7 KB

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

Exploiting Insecure Data Storage in Mobile

When to Use

Use this skill when:

  • Assessing whether mobile applications store sensitive data securely on the device filesystem
  • Testing for credential leakage through SharedPreferences, SQLite databases, or plists
  • Evaluating keychain/keystore implementation for proper access control attributes
  • Performing data-at-rest security assessment during mobile penetration tests

Do not use this skill on production user devices without authorization -- data extraction techniques require physical access or root/jailbreak privileges.

Prerequisites

  • Rooted Android device or emulator with ADB access
  • Jailbroken iOS device with SSH access or Objection-patched IPA
  • ADB (Android Debug Bridge) for Android filesystem access
  • SQLite3 CLI for database inspection
  • Frida/Objection for runtime data extraction
  • Target application installed and exercised (logged in, data cached)

Legal Notice: This skill is for authorized security testing and educational purposes only. Unauthorized use against systems you do not own or have written permission to test is illegal and may violate computer fraud laws.

Workflow

Step 1: Map Application Data Storage Locations

Android storage paths:

# Internal storage (app-private, requires root)
/data/data/<package_name>/
├── shared_prefs/      # SharedPreferences XML files
├── databases/         # SQLite databases
├── files/             # General files
├── cache/             # Cached data
├── lib/               # Native libraries
└── app_webview/       # WebView data

# External storage (world-readable on older Android)
/sdcard/Android/data/<package_name>/

# Check for world-readable files
adb shell run-as <package_name> ls -la /data/data/<package_name>/

iOS storage paths:

# App sandbox (accessible via SSH on jailbroken device)
/var/mobile/Containers/Data/Application/<UUID>/
├── Documents/         # User data, backed up by default
├── Library/
│   ├── Preferences/   # NSUserDefaults plists
│   ├── Caches/        # Cache data
│   └── Application Support/
└── tmp/               # Temporary files

Step 2: Extract and Analyze SharedPreferences (Android)

# Pull SharedPreferences files
adb shell run-as <package_name> cat shared_prefs/*.xml

# Or on rooted device
adb pull /data/data/<package_name>/shared_prefs/ ./shared_prefs/

# Search for sensitive data
grep -ri "password\|token\|secret\|key\|session\|auth\|cookie" shared_prefs/

Common insecure storage patterns:

<!-- Plaintext credentials -->
<string name="user_password">mysecretpass123</string>
<string name="auth_token">eyJhbGciOiJIUzI1NiIs...</string>
<string name="api_key">sk-live-abc123def456</string>

<!-- Sensitive PII -->
<string name="user_ssn">123-45-6789</string>
<string name="credit_card">4111111111111111</string>

Step 3: Analyze SQLite Databases

# Pull databases
adb pull /data/data/<package_name>/databases/ ./databases/

# Open and inspect
sqlite3 databases/app.db
.tables
.schema users
SELECT * FROM users;
SELECT * FROM sessions;
SELECT * FROM tokens;

# Search all tables for sensitive columns
sqlite3 databases/app.db ".dump" | grep -i "password\|token\|secret\|credit"

Check for unencrypted SQLCipher databases:

# If database opens without password, it's unencrypted
sqlite3 databases/app.db "SELECT count(*) FROM sqlite_master;"
# Success = unencrypted (vulnerability)

Step 4: Inspect iOS Keychain Storage

# Using Objection
objection --gadget com.target.app explore
ios keychain dump

# Check protection class attributes
# kSecAttrAccessibleWhenUnlocked - OK for most data
# kSecAttrAccessibleAlways - VULNERABLE: accessible even when locked
# kSecAttrAccessibleAfterFirstUnlock - acceptable for background apps

Step 5: Assess External Storage and Backup Exposure

Android:

# Check if backup is enabled
aapt dump badging target.apk | grep -i "allowBackup"
# android:allowBackup="true" = vulnerability

# Extract backup data
adb backup -f backup.ab -apk <package_name>
java -jar abe.jar unpack backup.ab backup.tar
tar xvf backup.tar
# Inspect extracted data for sensitive information

# Check external storage
adb shell ls -la /sdcard/Android/data/<package_name>/

iOS:

# Check backup exclusion
# Files in Documents/ are backed up by default
# Check NSURLIsExcludedFromBackupKey attribute
objection --gadget com.target.app explore
ios plist cat Info.plist

Step 6: Runtime Memory Analysis

# Dump process memory for sensitive data
objection --gadget com.target.app explore
memory search "password" --string
memory search "BEGIN RSA PRIVATE KEY" --string
memory dump all /tmp/memdump/

# Android: Check for sensitive data in logs
adb logcat -d | grep -i "password\|token\|key\|secret"

Key Concepts

TermDefinition
SharedPreferencesAndroid key-value storage in XML format; often misused for storing credentials in plaintext
Keychain ServicesiOS secure credential storage backed by Secure Enclave hardware on modern devices
Android KeystoreHardware-backed cryptographic key storage on Android; keys cannot be extracted from the device
SQLCipherTransparent encryption extension for SQLite databases; prevents data extraction without password
Data Protection APIiOS file-level encryption tied to device passcode; controlled via protection class attributes

Tools & Systems

  • ADB (Android Debug Bridge): Command-line tool for Android device interaction and filesystem access
  • Objection: Frida-powered runtime exploration for keychain dumping and memory inspection
  • SQLite3: Command-line interface for inspecting unencrypted SQLite databases
  • Android Backup Extractor (ABE): Tool for unpacking ADB backup files to inspect stored data
  • iExplorer: GUI tool for browsing iOS app sandbox filesystem

Common Pitfalls

  • Encrypted but key in code: Some apps encrypt databases but store the encryption key in SharedPreferences or hardcoded in the binary. Always check for key storage alongside encryption.
  • MODE_WORLD_READABLE deprecation: This flag was deprecated in API 17, but legacy apps may still use it, making SharedPreferences readable by other apps.
  • iOS backup scope: By default, all files in the Documents directory are included in iTunes/iCloud backups. Verify that sensitive files have the backup exclusion attribute set.
  • Clipboard exposure: Data copied to clipboard is accessible to all apps. Check if the app copies sensitive data (passwords, tokens) to the clipboard.

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

同じリポジトリのスキル

概要と使いどころ

Create forensically sound bit-for-bit disk images using dd and dcfldd while preserving evidence integrity through hash verification.

日本語の概要は準備中です。原文の説明を表示しています。

aniket2348823/Vul-Agent22026年6月9日 更新

Detect dangerous ACL misconfigurations in Active Directory using ldap3 to identify GenericAll, WriteDACL, and WriteOwner abuse paths

日本語の概要は準備中です。原文の説明を表示しています。

aniket2348823/Vul-Agent22026年6月9日 更新

Perform static analysis of Android APK malware samples using apktool for decompilation, jadx for Java source recovery, and androguard for permission analysis, manifest inspection, and suspicious API call detection.

日本語の概要は準備中です。原文の説明を表示しています。

aniket2348823/Vul-Agent22026年6月9日 更新

Parses API Gateway access logs (AWS API Gateway, Kong, Nginx) to detect BOLA/IDOR attacks, rate limit bypass, credential scanning, and injection attempts. Uses pandas for statistical analysis of request patterns and anomaly detection. Use when investigating API abuse or building API-specific threat detection rules.

日本語の概要は準備中です。原文の説明を表示しています。

aniket2348823/Vul-Agent22026年6月9日 更新

Analyze advanced persistent threat (APT) group techniques using MITRE ATT&CK Navigator to create layered heatmaps of adversary TTPs for detection gap analysis and threat-informed defense.

日本語の概要は準備中です。原文の説明を表示しています。

aniket2348823/Vul-Agent22026年6月9日 更新

Queries Azure Monitor activity logs and sign-in logs via azure-monitor-query to detect suspicious administrative operations, impossible travel, privilege escalation, and resource modifications. Builds KQL queries for threat hunting in Azure environments. Use when investigating suspicious Azure tenant activity or building cloud SIEM detections.

日本語の概要は準備中です。原文の説明を表示しています。

aniket2348823/Vul-Agent22026年6月9日 更新

aniket2348823 のスキルをすべて見る

このスキルの問題を報告する