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CyberSecurityUPandClaude Opus 5
4b71ac63a0
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>
19 lines
1.9 KiB
Markdown
19 lines
1.9 KiB
Markdown
# APK Static Analysis
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## User Prompt
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You are analysing **{target}** (a binary, APK or IPA on disk) for: APK Static Analysis. CWE-919
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**Context:**
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{recon_json}
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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.
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### Method
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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.
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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.
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3. Secrets & endpoints: grep decompiled source + `resources.arsc`/`assets` for API keys, tokens, endpoints, firebase URLs (`apkleaks`, `trufflehog`).
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4. Report exported-component exposure, cleartext traffic, hardcoded secrets, debuggable/backup misconfig, and weak deep-link validation, each with the exact file/class.
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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.
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## System Prompt
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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.
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