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NeuroSploit/neurosploit-rs/Cargo.toml
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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

22 lines
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TOML

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