Mobile (Android + iOS) application penetration testing methodology. Covers static analysis (apktool/jadx for Android, class-dump/Hopper/IDA for iOS), dynamic instrumentation with Frida and Objection, SSL pinning bypass strategies, root/jailbreak detection bypass, deep-link / URL-scheme abuse, exported component attacks (Android activities, services, providers, receivers; iOS XPC, URL schemes, universal links), insecure data storage (SharedPrefs, KeyStore misuse, NSUserDefaults, Keychain ACL bypass), IPC / Intent redirection, WebView vulnerabilities (JavaScriptInterface, file:// access), Firebase/AWS/Azure misconfiguration leakage, mobile API testing, biometric/Face ID/Touch ID bypass, app-cloning and runtime patching, and mobile malware/RAT analysis primitives. Use for mobile pentest, bug bounty mobile triage, or app-store reconnaissance.
70
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Critical
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Security
2 findings: 1 critical severity, 1 medium severity. Installing this skill is not recommended: please review these findings carefully if you do intend to do so.
Detected high-risk code patterns in the skill content — including its prompts, tool definitions, and resources — such as data exfiltration, backdoors, remote code execution, credential theft, system compromise, supply chain attacks, and obfuscation techniques.
This document provides step-by-step offensive tooling and techniques (SSL-pinning/root/jailbreak bypasses, keychain dumps, app repackaging, exported-component exploitation, WebView RCE, and instructions to pull app data) that enable deliberate data exfiltration, credential theft, remote code execution and persistent tampering.
The skill prompts the agent to compromise the security or integrity of the user’s machine by modifying system-level services or configurations, such as obtaining elevated privileges, altering startup scripts, or changing system-wide settings.
The skill explicitly instructs gaining root/jailbreak, installing Magisk/Frida servers, using su to extract /data, and installing a system-trusted CA — all actions that modify a device's/system's state and bypass security mechanisms requiring elevated privileges.
Low
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
The required workflow is to pull and decompile the target app/IPA/APK (e.g., via `frida-ios-dump` or App Store tools), after which the skill/agent would read the resulting extracted “strings/endpoints” and parsed files; since these are body text extracted from a third-party app not authored by the operating user, this is outsider-authored free text feeding into the LLM context (static analysis section output is prose/log-like).
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