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/ios-pentest

@f9bb3b2

iOS mobile application penetration testing with Frida and Objection on jailbroken or non-jailbroken devices. Use for static + dynamic analysis of IPAs, SSL pinning / jailbreak / biometric bypass, keychain & local-storage extraction, network interception, and OWASP MASTG iOS assessments. Triggers on requests to pentest iOS apps, analyze IPAs, bypass iOS security controls, or produce MASTG-aligned findings.

Use this Skill: https://skilld.dev/gh/hardw00t/ai-security-arsenal/ios-pentest

This session only. Nothing lands on disk.

methodologyrecon.md

≈300 tokens on demand. Your agent reads this file only when SKILL.md points to it.

Methodology: iOS Recon

Device & Target Enumeration

idevice_id -l                             # UDIDs of attached devices
ideviceinfo -u <udid>                     # iOS version, model, architecture
ideviceinstaller -l                       # installed bundle IDs
frida-ps -Uai                             # attachable processes (needs frida-server)

App Attribute Discovery

objection -g <bundle_id> explore
> ios info binary                         # PIE/ARC/Canary/Encrypted
> ios bundles list_frameworks             # linked frameworks, versions
> env                                     # Bundle / Documents / Library paths
> ios plist cat <BundlePath>/Info.plist

Surface Mapping

  • Register of URL schemes: plutil -p App.app/Info.plist | grep -A5 CFBundleURLSchemes.
  • Universal Links: check apple-app-site-association at the target domain.
  • App extensions: subdirectories under App.app/PlugIns/*.appex.
  • Background modes & entitlements: codesign -d --entitlements :- App.app.

Network Surface

  • Capture DNS while launching (proxy tool or tcpdump -i pdp_ip0).
  • Log first 30 seconds of HTTP(S) endpoints; these are the auth + config bootstrap.

Source: SKILL.md on GitHub

2 alerts16d4 checks · Risk CRITICAL
  • Gen Agent Trust Hub16d

    iOS penetration testing toolkit for security professionals. The skill provides methodologies, workflows, and Frida scripts for analyzing mobile applications on jailbroken or stock devices. It utilizes standard industry tools and well-known community repositories for its tasks.

  • Socket16d

    11 alerts: gptSecurity, gptAnomaly

  • Snyk16d

    Risk: LOW · No issues

  • Runlayer7mo

    3/9 files flagged

Signed by skilld at f9bb3b2. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub 2 months ago.

Steadyupdated 6 months ago

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