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/ios-pentest

@f9bb3b2
by Hardik Mehtahardw00t/ai-security-arsenal104 stars
15

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.

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

This session only. Nothing lands on disk.

templatesfinding_report.md

≈286 tokens on demand. Your agent reads this file only when SKILL.md points to it.

Finding Report Template

## [SEVERITY] <Finding Title>

**MASTG ID**: MASTG-TEST-XXXX
**MASVS**: MASVS-STORAGE | MASVS-CRYPTO | MASVS-AUTH | MASVS-NETWORK | MASVS-PLATFORM | MASVS-CODE | MASVS-RESILIENCE | MASVS-PRIVACY
**CWE**: CWE-XXX
**CVSS v3.1**: X.X (vector)
**Confidence**: confirmed | likely | suspected

### Affected
- Bundle ID: com.example.app
- iOS Version: 17.x
- Class / Method: ClassName.methodName
- File / Path: /path/to/file

### Description
<Concise technical description — what, where, why it is a problem.>

### Evidence
<Objection/Frida output, screenshot path, network captures, keychain excerpt. Redact real secrets.>

### Reproduction Steps
1. Install Frida / objection on jailbroken device (iOS X.Y).
2. `objection -g com.example.app explore`.
3. `ios keychain dump`.
4. Observe: <specific observation>.

### Impact
<Business + technical impact. Quantify where possible.>

### Remediation
<Concrete, code-level fix. Reference Apple APIs.>

### References
- https://mas.owasp.org/MASTG/tests/ios/<area>/<test-id>/
- https://developer.apple.com/documentation/<relevant>
- Related CVEs / CWE entries

Source: SKILL.md on GitHub

Third-party checks

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

Provenance

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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