exploiting-insecure-data-storage-in-mobile
by mukul975The exploiting-insecure-data-storage-in-mobile skill helps assess and extract evidence from insecure local storage in Android and iOS apps. It covers SharedPreferences, SQLite databases, plist files, world-readable files, backup exposure, and weak keychain/keystore handling for mobile pentesting and Security Audit workflows.
This skill scores 84/100, which means it is a solid directory listing for users doing mobile security testing. It has enough concrete workflow content, references, and scripts to help an agent trigger and execute it with less guesswork than a generic prompt, though users should still expect some hands-on interpretation during Android/iOS extraction and analysis.
- Explicit trigger guidance for OWASP M9 / MASVS-STORAGE, with clear mobile data-storage use cases in the frontmatter and "When to Use" section.
- Operational support is strong: the repo includes 2 scripts plus workflow and standards references, with commands and path examples for SharedPreferences, SQLite, plists, and app sandboxes.
- Good install-decision value: the skill body is substantial (6674 chars), has valid frontmatter, no placeholder markers, and concrete reporting/template assets.
- No install command in SKILL.md, so users may need to wire the skill into their environment manually.
- Some workflow steps assume elevated access such as root/jailbreak/ADB or physical access, which limits applicability outside authorized lab or assessment contexts.
Overview of exploiting-insecure-data-storage-in-mobile skill
What this skill does
The exploiting-insecure-data-storage-in-mobile skill helps you assess and extract evidence from insecure local storage in Android and iOS apps. It focuses on the real-world cases that matter most in a mobile review: plaintext SharedPreferences, SQLite databases, plist files, world-readable files, backup exposure, and weak keychain/keystore handling.
Who it is for
Use this exploiting-insecure-data-storage-in-mobile skill if you are doing mobile pentesting, a Security Audit, or an OWASP MASVS-STORAGE review and need a workflow that turns a rough suspicion into concrete storage findings. It is best for analysts who can access a test device, emulator, rooted Android, or jailbroken iPhone and want less guesswork than a generic prompt.
Why it stands out
This skill is not just about spotting files; it is about deciding where to look first, what data proves impact, and how to move from extraction to reportable evidence. The repository also includes practical references and scripts, so the skill is more useful when you need an exploiting-insecure-data-storage-in-mobile guide that supports execution, not only theory.
How to Use exploiting-insecure-data-storage-in-mobile skill
Install and orient yourself
For exploiting-insecure-data-storage-in-mobile install, add the skill from the repo and then read skills/exploiting-insecure-data-storage-in-mobile/SKILL.md first. Next, inspect references/workflows.md, references/api-reference.md, references/standards.md, and assets/template.md to understand the expected flow, storage locations, and reporting format before you run the skill on a target.
Give the skill the right input
The best exploiting-insecure-data-storage-in-mobile usage starts with a precise target brief: platform, app package or bundle ID, device state, and what you already know about storage risk. A weak prompt says, “check this app for insecure storage.” A stronger prompt says, “Assess Android app com.example.app on a rooted test device for exposed tokens in SharedPreferences, SQLite, and external storage; prioritize evidence suitable for MASVS-STORAGE reporting.”
Follow a practical review path
Start with the storage surface most likely to leak data, then expand only if the first pass is inconclusive. For Android, check shared_prefs, databases, files, cache, and external app storage; for iOS, focus on the sandbox, Library/Preferences, Documents, caches, and keychain-related storage. Use the provided scripts in scripts/ to support extraction and pattern-based review when you need faster triage.
Read these files first
If you want the shortest path to useful output, read SKILL.md plus references/workflows.md before everything else. Then use references/api-reference.md for command examples and path conventions, and assets/template.md when you need to turn findings into a structured report. The scripts, especially scripts/agent.py and scripts/process.py, are most helpful when you already have extracted app data and need to scan it consistently.
exploiting-insecure-data-storage-in-mobile skill FAQ
Is this skill only for advanced testers?
No. It is beginner-friendly if you already know how to describe a target and can provide a test device or extracted app data. What makes it useful is that exploiting-insecure-data-storage-in-mobile narrows the task to storage review, so you do not need to invent a workflow from scratch.
When should I not use it?
Do not use it as a generic mobile reverse-engineering skill or for network-only testing. It is a poor fit if you do not have authorization, cannot access device storage, or only need static code review with no on-device validation.
How is it different from a normal prompt?
A normal prompt may mention insecure storage in passing, but this skill is tuned to look for evidence on disk, in backups, and in platform-specific storage locations. That makes the exploiting-insecure-data-storage-in-mobile skill better when you need repeatable steps, not just a one-off answer.
Does it fit Security Audit workflows?
Yes. The skill maps well to Security Audit work because it aligns with OWASP Mobile Top 10 M9 and MASVS-STORAGE checks, and it encourages evidence-based findings rather than vague risk statements. Use it when you need storage-specific results that can be dropped into a finding template.
How to Improve exploiting-insecure-data-storage-in-mobile skill
Provide more precise target context
The fastest way to improve results is to tell the skill what platform, access level, and storage concern matter most. For example: app ID, Android version, whether ADB/root is available, whether the app uses SQLCipher or encrypted prefs, and whether you care most about credentials, tokens, or PII. That context makes exploiting-insecure-data-storage-in-mobile usage much more actionable.
Ask for evidence, not just detection
If you only ask whether storage is insecure, you may get a shallow checklist. Ask for file paths, sample artifact names, what data proves sensitivity, and whether the issue is plaintext, weakly protected, or merely exposed by permissions. That produces better findings for exploiting-insecure-data-storage-in-mobile for Security Audit work.
Watch for common failure modes
The main failure mode is overclaiming from filenames alone. Another is assuming encryption means safety without checking key handling, access control, or backup exposure. A strong exploiting-insecure-data-storage-in-mobile guide should push the analysis to verify where the data lives, how it is protected, and whether the exposure is actually reachable.
Iterate after the first pass
If the first output is too broad, rerun with a narrower storage target, such as “SharedPreferences only” or “iOS keychain and plist only.” If the first pass is too shallow, ask for a second-pass report that includes the most likely storage paths, follow-up commands, and a clean summary in the format from assets/template.md.