uniscan 0.1.1

A lightweight CLI tool to audit Unity projects for risky code and binaries.

Uniscan

Uniscan is a lightweight, read-only command-line interface (CLI) tool designed to audit Unity projects for potentially hazardous code and native binaries. It provides static checks that highlight code patterns worth deeper inspection.

Key Features

• Static Code Analysis: Scans C# scripts for common security vulnerabilities and anti-patterns.
• Binary Detection: Identifies native binary files (e.g., .dll, .so, .dylib) which can sometimes pose a risk.
• Clear Summary Output: Presents findings with severity and file locations so you can investigate quickly.
• Minimal Footprint: Uniscan is read-only and has minimal runtime dependencies.

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Installation & Usage

Install from PyPI:

pip install uniscan

Then scan your Unity project:

uniscan /path/to/unity/project

Prefer working from source?

git clone https://github.com/TLI-1994/Uniscan.git
cd Uniscan
PYTHONPATH=src python -m uniscan.main /path/to/unity/project

Common flags:

• --format {text|json} (default: text) – choose human-readable or machine-readable output.
• --no-colors (default: off) – disable ANSI colours in text mode.
• --ruleset path/to/extra_rules.yaml – load additional Semgrep-style YAML rules (repeatable).
• --include-binaries / --skip-binaries (default: include) – control native binary detection.
• --verbosity {quiet|normal|debug} (default: normal) – adjust the amount of detail (--quiet / --debug aliases).
• --engine {auto|heuristic|semgrep} (default: auto) – auto-select, force the heuristic engine, or use Semgrep.
• --progress / --no-progress (default: progress on) – toggle the live progress indicator.
• --pretty / --no-pretty (default: grouped off) – group findings by file and rule for easier human review.
• --version – print the installed Uniscan version and exit.

Semgrep snippets: When the Semgrep engine runs, --verbosity debug displays code snippets. For community rules, Semgrep returns snippets only if you run semgrep login; otherwise the placeholder requires login appears. Findings still include file paths and line numbers so you can review the code manually.

Each run reports which analysis engine was used (semgrep when available, otherwise a heuristic fallback) so you can confirm coverage.

Example:

uniscan ~/Projects/MyUnityGame --format json --skip-binaries

Run the test suite (optional)

pip install uniscan[test]
python -m pytest

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License

MIT License — see LICENSE for details.

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Developer Notes

Semgrep rules live under rules/core/semgrep, one YAML file per rule. Generated rules (such as unity.autorun.editor-hooks) are driven by the data in tools/semgrep/data and a companion script under tools/semgrep. Re-run the generator after editing the spec:

python -m venv venv
source venv/bin/activate
python tools/semgrep/generate_autorun_editor_hooks.py

Commit the spec, generator, and regenerated YAML together so the rule bundle stays reproducible.

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Disclaimer

In addition to the MIT License notice, please keep the following in mind:

• Best-effort analysis: Uniscan is a read-only static-analysis aid. It highlights patterns worth human review but it is not a substitute for a professional security audit, and it cannot detect every risky construct in the Unity ecosystem.
• Your responsibility: You remain solely responsible for validating findings, performing additional due diligence, and complying with all applicable laws and regulations.
• No warranties: The tool is provided “AS IS” without express or implied warranties, including but not limited to implied warranties of merchantability, fitness for a particular purpose, non-infringement, security, or error-free operation.
• No liability: In no event shall the authors or contributors be liable for any direct, indirect, incidental, special, exemplary, or consequential damages arising out of or in connection with the use of Uniscan or reliance on its results. By using Uniscan you acknowledge these limitations and agree to hold the authors and contributors harmless.

Feedback and contributions are welcome. If you spot gaps in rule coverage or encounter issues, please open an issue or pull request on GitHub so we can improve together.