analyzing-ios-app-security-with-objection

analyzing-ios-app-security-with-objection is a skill for Claude Code from killvxk/cybersecurity-skills-zh. It costs 119 tokens per session (1,760 once invoked), scanned A, original, Apache-2.0.

A security-testing guide for Objection, a tool that lets testers inspect and interact with an iOS app while it is running. It uses Frida and can work with jailbroken devices or specially prepared app packages.

In plain words
What is it for?
Inspecting iOS Keychain data, files, memory, runtime behaviour, SSL certificate checks, and jailbreak detection during authorised security assessments.
Why use it?
It gives authorised testers a way to check what sensitive information an app exposes during use, even without access to its source code.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the cybersecurity-skills-zh plugin — 58 skills shipped together

Good fit Inspecting iOS Keychain data, files, memory, runtime behaviour, SSL certificate checks, and jailbreak detection during authorised security assessments.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/killvxk/cybersecurity-skills-zh/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 killvxk/cybersecurity-skills-zh --skill analyzing-ios-app-security-with-objection
Clone the repo
git clone --depth 1 https://github.com/killvxk/cybersecurity-skills-zh

Made for: Claude Code.

Or install cybersecurity-skills-zh, the plugin that ships this one along with the rest of its 58 skills.

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/killvxk/cybersecurity-skills-zh/analyzing-ios-app-security-with-objection/github.svg)](https://agentmods.dev/skills/killvxk/cybersecurity-skills-zh/analyzing-ios-app-security-with-objection)
Your own site
<a href="https://agentmods.dev/skills/killvxk/cybersecurity-skills-zh/analyzing-ios-app-security-with-objection"><img src="https://agentmods.dev/badge/skills/killvxk/cybersecurity-skills-zh/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.

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Your own site · 80×15
<a href="https://agentmods.dev/skills/killvxk/cybersecurity-skills-zh/analyzing-ios-app-security-with-objection"><img src="https://agentmods.dev/badge/skills/killvxk/cybersecurity-skills-zh/analyzing-ios-app-security-with-objection.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 119 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,760 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 $0.00119 $0.01760
Opus 5 $0.00060 $0.00880
Sonnet 5 $0.00024 $0.00352
Haiku 4.5 $0.00012 $0.00176

Measured 12d ago against content hash 6b31788c99ca, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, 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 12d 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.

skills/analyzing-ios-app-security-with-objection/SKILL.md · 185 lines

How it starts

The opening of the file, as written. The whole thing — 185 lines — stays where its author put it; the contents beside it link to each section on GitHub.

使用 Objection 分析 iOS 应用安全

适用场景

以下情况使用本 skill:

  • 在授权渗透测试(penetration test)期间对 iOS 应用程序执行运行时安全评估
  • 检查 iOS Keychain、文件系统和内存中的敏感数据暴露情况
  • 在安全测试期间绕过客户端安全控制(SSL pinning、越狱检测)
  • 在无法访问源代码的情况下评估 iOS 应用的运行时行为

不适用于:在没有明确授权的情况下在生产设备上使用本 skill——Objection 会修改应用运行时行为,可能触发安全监控。

前置条件

  • Python 3.10+ 及 pip
  • 已安装 Objection:pip install objection
  • 已安装 Frida:pip install frida-tools
  • 目标 iOS 设备(已越狱并安装 Frida server,或已重新打包 IPA 的非越狱设备)
  • 非越狱设备需使用 objection patchipa 向 IPA 注入 Frida gadget
  • iOS 测试推荐使用 macOS(需要 Xcode、ideviceinstaller)
  • USB 连接目标设备或网络 Frida server

工作流程

步骤 1:准备测试环境

针对越狱设备:

# 通过 Cydia/Sileo 在设备上安装 Frida server
# SSH 登录设备并启动 Frida server
ssh root@<device_ip> "/usr/sbin/frida-server -D"

# 验证 Frida 连接
frida-ps -U  # 列出 USB 连接设备上的进程

针对非越狱设备(授权测试):

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

# 安装已打包的 IPA
ideviceinstaller -i target-patched.ipa

步骤 2:将 Objection 附加到目标应用

# 通过 bundle ID 附加到正在运行的应用
objection --gadget "com.target.app" explore

# 或启动新的应用进程
objection --gadget "com.target.app" explore --startup-command "ios hooking list classes"

附加成功后,Objection 提供交互式 REPL 进行运行时探测。

步骤 3:评估数据存储安全(MASVS-STORAGE)

# 转储应用可访问的 iOS Keychain 条目
ios keychain dump

# 列出应用沙盒中的文件
ios plist cat Info.plist
env  # 显示应用环境路径

# 检查 NSUserDefaults 中的敏感数据
ios nsuserdefaults get

# 列出 SQLite 数据库
sqlite connect app_data.db
sqlite execute query "SELECT * FROM credentials"

# 检查粘贴板中的敏感数据
ios pasteboard monitor

步骤 4:评估网络安全(MASVS-NETWORK)

# 禁用 SSL/TLS 证书固定(certificate pinning)
ios sslpinning disable

# 通过 Burp Suite 代理观察流量,验证 pinning 是否已绕过
# 监控与网络相关的类方法调用
ios hooking watch class NSURLSession
ios hooking watch class NSURLConnection

步骤 5:检查身份认证与授权(MASVS-AUTH)

# 列出所有 Objective-C 类
ios hooking list classes

# 搜索与认证相关的类
ios hooking search classes Auth
ios hooking search classes Login
ios hooking search classes Token

# Hook 认证方法以观察参数
ios hooking watch method "+[AuthManager validateToken:]" --dump-args --dump-return

# 监控生物认证调用
ios hooking watch class LAContext

Read the full file on GitHub · 185 lines

Files

What ships with it

7 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. 12d ago First seen · 185 lines · 119 tokens per session scan A 6b31788c99ca

Subscribe to this mod's changes

analyzing-ios-app-security-with-objection is a skill published in the GitHub repository killvxk/cybersecurity-skills-zh (45 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 119 tokens to every session and 1,760 once invoked, about $0.0006 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 2026-08-30.

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