ios-application-hooking-frida

ios-application-hooking-frida is a skill for Claude Code, Codex from ShulkwiSEC/bb-huge. It costs 57 tokens per session (2,252 once invoked), scanned A, original, MIT.

A guide to using Frida, a tool for changing and observing a running program, while testing iOS apps on jailbroken devices. It covers runtime hooks that can inspect app behavior and alter selected checks or data in memory.

In plain words
What is it for?
Use it in authorized iOS assessments to inspect native functions, bypass selected runtime protections, and intercept HTTPS traffic for analysis.
Why use it?
It helps when the app's compiled code is difficult to understand or blocks testing through jailbreak detection or certificate pinning.

Skill for Claude CodeCodex

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

Needs its repository: it reads a path above its own folder, which exists only inside the repository. The line is - [`_shared/references/elite-chaining-strategy.md`](../_shared/references/elite-chaining-strategy.md) — Exploit chaining methodology and high-payout chain patte.

Good fit Use it in authorized iOS assessments to inspect native functions, bypass selected runtime protections, and intercept HTTPS traffic for analysis.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/ShulkwiSEC/bb-huge
agentmods
npx agentmods add skills/shulkwisec/bb-huge/ios-application-hooking-frida

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 ios-application-hooking-frida

README.md
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Your own site
<a href="https://agentmods.dev/skills/shulkwisec/bb-huge/ios-application-hooking-frida"><img src="https://agentmods.dev/badge/skills/shulkwisec/bb-huge/ios-application-hooking-frida/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.

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Your own site · 80×15
<a href="https://agentmods.dev/skills/shulkwisec/bb-huge/ios-application-hooking-frida"><img src="https://agentmods.dev/badge/skills/shulkwisec/bb-huge/ios-application-hooking-frida.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 57 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,252 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 original No closer match found 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 $0.00057 $0.02252
Opus 5 $0.00028 $0.01126
Sonnet 5 $0.00011 $0.00450
Haiku 4.5 $0.00006 $0.00225

Measured 5d ago against content hash 7a9da873b8c0, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

ios-application-hooking-frida 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 5d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (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

Copies of this mod

1 near-identical copy found in the catalogue:

skills/curated/ios-application-hooking-frida/SKILL.md · 195 lines

How it starts

The opening of the file, as written. The whole thing — 195 lines — stays where its author put it; the contents beside it link to each section on GitHub.

iOS Application Hooking (Frida)

When to Use

  • When static analysis strings/binaries (via Hopper/Ghidra) are heavily obfuscated and you must observe exactly what the application is doing in memory dynamically.
  • To bypass robust Jailbreak Detection mechanisms that force the target app to crash upon launch.
  • To circumvent complex SSL Certificate Pinning, enabling you to intercept HTTPS traffic in Burp Suite without spending hours reverse-engineering native cryptographic functions.

Prerequisites

  • Authorized scope and rules of engagement for the target environment
  • Appropriate tools installed on the attack/analysis platform
  • Understanding of the target technology stack and architecture
  • Documentation template ready for findings and evidence capture

Workflow

Phase 1: Environment Setup (Jailbroken iOS)

# Concept: Frida operates via a client-server architecture. The Frida "Server" must be running 
# as root on the target device, listening for commands from the attacker's "Client" (your PC).

# 1. On the Jailbroken iOS Device:
# Open Cydia/Sileo -> Add Source: `https://build.frida.re` -> Install "Frida!"

# 2. On the Attacker PC:
pip3 install frida-tools objection

# 3. Verify Connectivity via USB:
frida-ps -U
# Output: Lists all processes currently executing on the iPhone. Look for the target application (e.g., `TargetBankApp`).

Phase 2: Injecting Custom JavaScript Hooks (The Core Mechanics)

// Concept: We write JavaScript on our PC. Frida injects the Google V8 Engine into the 
// iPhone's target application process, allowing our JS to seamlessly interact directly 
// with the underlying Objective-C / Swift architecture.

// Scenario: The app calls `-(BOOL)isJailbroken;` which returns TRUE, crashing the app.
// We intercept that call right before it finishes and permanently overwrite the return value back to FALSE.

if (ObjC.available) {
    // 1. Find the Class in the application memory
    var JailbreakDetectionClass = ObjC.classes.JailbreakDetector;
    
    // 2. Attach an Interceptor (Hook) to the specific method
    Interceptor.attach(JailbreakDetectionClass['- isJailbroken'].implementation, {
        
        onEnter: function(args) {
            console.log("[+] Intercepted isJailbroken execution!");
        },
        
        onLeave: function(retval) {
            console.log("[-] Original Return Value: " + retval);
            // 3. The Override: Change the boolean `TRUE` (1) to `FALSE` (0)
            var newRetval = ptr("0x0"); 
            retval.replace(newRetval);
            console.log("[+] Spofed Return Value: " + newRetval);
        }
    });
}

Read the full file on GitHub · 195 lines

Files

What ships with it

2 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. 5d ago First seen · 195 lines · 57 tokens per session scan A 7a9da873b8c0

Subscribe to this mod's changes

ios-application-hooking-frida is a skill published in the GitHub repository ShulkwiSEC/bb-huge (22 stars, last pushed 1mo ago), licensed MIT. It adds 57 tokens to every session and 2,252 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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