analyzing-ios-app-security-with-objection

analyzing-ios-app-security-with-objection is a skill for Claude Code, Codex from Youngmaidainon/Agent-Level-Up. It costs 49 tokens per session (1,524 once invoked), scanned A, a copy of analyzing-ios-app-security-with-objection, MIT.

A guide to testing an iOS app while it is running, using Objection and Frida, tools that let authorized testers inspect and alter app behavior without its source code.

In plain words
What is it for?
Use it during authorized mobile assessments to inspect app internals, check sensitive data storage, and test protections such as SSL pinning and jailbreak detection.
Why use it?
Runtime testing can reveal exposed keychain, file, or memory data and show whether client-side protections actually resist testing.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it during authorized mobile assessments to inspect app internals, check sensitive data storage, and test protections such as SSL pinning and jailbreak detection.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/youngmaidainon/agent-level-up/analyzing-ios-app-security-with-objection
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add Youngmaidainon/Agent-Level-Up --skill analyzing-ios-app-security-with-objection
Clone the repo
git clone --depth 1 https://github.com/Youngmaidainon/Agent-Level-Up

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for analyzing-ios-app-security-with-objection

README.md
[![agentmods](https://agentmods.dev/badge/skills/youngmaidainon/agent-level-up/analyzing-ios-app-security-with-objection/github.svg)](https://agentmods.dev/skills/youngmaidainon/agent-level-up/analyzing-ios-app-security-with-objection)
Your own site
<a href="https://agentmods.dev/skills/youngmaidainon/agent-level-up/analyzing-ios-app-security-with-objection"><img src="https://agentmods.dev/badge/skills/youngmaidainon/agent-level-up/analyzing-ios-app-security-with-objection/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for analyzing-ios-app-security-with-objection

Your own site · 80×15
<a href="https://agentmods.dev/skills/youngmaidainon/agent-level-up/analyzing-ios-app-security-with-objection"><img src="https://agentmods.dev/badge/skills/youngmaidainon/agent-level-up/analyzing-ios-app-security-with-objection.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 49 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,524 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00049 $0.01524
Opus 5 $0.00024 $0.00762
Sonnet 5 $0.00010 $0.00305
Haiku 4.5 $0.00005 $0.00152

Measured 9d ago against content hash bab48e7c16fe, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

analyzing-ios-app-security-with-objection scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/agent.py, scripts/process.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

100% identical to analyzing-ios-app-security-with-objection — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

cyber-security/ctf/analyzing-ios-app-security-with-objection/SKILL.md · 207 lines

How it starts

The opening of the file, as written. The whole thing — 207 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Analyzing iOS App Security with Objection

When to Use

Use this skill when:

  • Performing runtime security assessment of iOS applications during authorized penetration tests
  • Inspecting iOS keychain, filesystem, and memory for sensitive data exposure
  • Bypassing client-side security controls (SSL pinning, jailbreak detection) during security testing
  • Evaluating iOS app behavior at runtime without access to source code

Do not use this skill on production devices without explicit authorization -- Objection modifies app runtime behavior and may trigger security monitoring.

Prerequisites

  • Python 3.10+ with pip
  • Objection installed: pip install objection
  • Frida installed: pip install frida-tools
  • Target iOS device (jailbroken with Frida server, or non-jailbroken with repackaged IPA)
  • For non-jailbroken: objection patchipa to inject Frida gadget into IPA
  • macOS recommended for iOS testing (Xcode, ideviceinstaller)
  • USB connection to target device or network Frida server

Workflow

Step 1: Prepare the Testing Environment

For jailbroken devices:

# Install Frida server on device via Cydia/Sileo
# SSH to device and start Frida server
ssh root@<device_ip> "/usr/sbin/frida-server -D"

# Verify Frida connectivity
frida-ps -U  # List processes on USB-connected device

For non-jailbroken devices (authorized testing):

# Patch IPA with Frida gadget
objection patchipa --source target.ipa --codesign-signature "Apple Development: [email protected]"

# Install patched IPA
ideviceinstaller -i target-patched.ipa

Step 2: Attach Objection to Target App

# Attach to running app by bundle ID
objection --gadget "com.target.app" explore

# Or spawn the app fresh
objection --gadget "com.target.app" explore --startup-command "ios hooking list classes"

Once attached, Objection provides an interactive REPL for runtime exploration.

Step 3: Assess Data Storage Security (MASVS-STORAGE)

# Dump iOS Keychain items accessible to the app
ios keychain dump

# List files in app sandbox
ios plist cat Info.plist
env  # Show app environment paths

# Inspect NSUserDefaults for sensitive data
ios nsuserdefaults get

# List SQLite databases
sqlite connect app_data.db
sqlite execute query "SELECT * FROM credentials"

# Check for sensitive data in pasteboard
ios pasteboard monitor

Read the full file on GitHub · 207 lines

Files

What ships with it

6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 9d ago First seen · 207 lines · 49 tokens per session scan A bab48e7c16fe

Subscribe to this mod's changes

analyzing-ios-app-security-with-objection is a skill published in the GitHub repository Youngmaidainon/Agent-Level-Up (3 stars, last pushed 15d ago), licensed MIT. It adds 49 tokens to every session and 1,524 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to analyzing-ios-app-security-with-objection, differing in 0 lines, and is treated as a copy.

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