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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>
22 lines
499 B
TOML
22 lines
499 B
TOML
[workspace]
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members = ["crates/harness", "app"]
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resolver = "2"
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[workspace.package]
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version = "4.2.0"
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edition = "2021"
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license = "MIT"
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repository = "https://github.com/JoasASantos/NeuroSploit"
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[workspace.dependencies]
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serde = { version = "1", features = ["derive"] }
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serde_json = "1"
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tokio = { version = "1", features = ["full"] }
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reqwest = { version = "0.12", default-features = false, features = ["json", "rustls-tls"] }
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anyhow = "1"
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futures = "0.3"
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[profile.release]
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opt-level = 2
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lto = "thin"
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