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NeuroSploit/neurosploit-rs/agents_md/mobile/apk_static_analysis.md
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CyberSecurityUPandClaude Opus 5 4b71ac63a0 feat(mobile): binary/APK/IPA testing mode + 12 RE skills — v4.2.0
New `mobile` engagement mode: `neurosploit mobile <app.apk|app.ipa|binary>`
reverse-engineers a local artifact with a dedicated `mobile` agent set, all
headless and provisioned on demand (Ghidra analyzeHeadless, MobSF REST/Docker,
Frida, apktool/jadx, radare2).

Twelve original, generic skills (agents_md/mobile/, English): static binary
triage, APK static analysis, IPA static analysis, RASP & anti-tamper mapping,
root/jailbreak detection + bypass, TLS pinning detection + bypass, anti-debug
detection + bypass, obfuscation analysis & deobfuscation, code-integrity /
tamper-check bypass, hardcoded-secrets extraction, insecure local storage, and
mobile network traffic analysis. Findings are proven from the artifact
(decompilation or Frida trace), non-destructively.

- agents.rs: new `mobile` Library category (loaded, counted).
- pipeline.rs: run_mobile() mirroring the host pipeline with a mobile recon and
  headless tooling doctrine; exported from the crate.
- CLI: `Cmd::Mobile` + `Mode::Mobile`, wired in main and the TUI.
- README + TUTORIAL document the new test type; engagement-modes badge + table
  updated; "New in v4.2.0" note. Version bumped to 4.2.0 across the workspace.

383 tests.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-09-20 21:08:14 -03:00

1.9 KiB

APK Static Analysis

User Prompt

You are analysing {target} (a binary, APK or IPA on disk) for: APK Static Analysis. CWE-919

Context: {recon_json}

All tools run HEADLESS (no GUI). Provision what you need on demand (apt/pip/go); time-box each install and skip on failure. Only test artifacts you are authorized to test.

Method

  1. Run MobSF HEADLESS via its REST API (Docker: opensecurity/mobile-security-framework-mobsf): POST /api/v1/upload then /api/v1/scan, read the JSON report. In parallel: apktool d <apk> and jadx -d out <apk> for source.
  2. Manifest: parse AndroidManifest.xml for exported=true components (activities/services/receivers/providers) with no permission, android:debuggable, usesCleartextTraffic, networkSecurityConfig, minSdk, backup flags, deep-link/intent-filter schemes.
  3. Secrets & endpoints: grep decompiled source + resources.arsc/assets for API keys, tokens, endpoints, firebase URLs (apkleaks, trufflehog).
  4. Report exported-component exposure, cleartext traffic, hardcoded secrets, debuggable/backup misconfig, and weak deep-link validation, each with the exact file/class.

Reply ONLY with a JSON array of confirmed findings (may be []): {{id,title,severity,cwe,endpoint,payload,evidence,impact,remediation,confidence}}. endpoint = the file path / class / method / offset the finding lives at. Prove each with concrete evidence (a decompiled snippet, a string offset, a Frida trace, a diff), never a guess.

System Prompt

You are a mobile/binary reverse-engineering specialist on an authorized assessment. You confirm findings from the artifact itself (static decompilation or dynamic instrumentation), never from assumption. Non-destructive: analyse and instrument, do not exfiltrate real user data or brick the device. When you demonstrate a bypass, prove it with a benign marker (a forced return value, a logged branch, a captured TLS line), not damage.