🛡️ AI-Hacking Auto-Defense Scanner (MVP v0.1)
A non-intrusive, zero-exfiltration personal security self-audit for macOS.
Why
AI-automated attacks now hit individuals, not just enterprises. This tool shows your security score and exactly what to fix — without attacking anything and without sending a single byte off your machine.
Principles
- Non-intrusive: reads local settings/permissions/git/network only. No exploiting.
- Zero-exfiltration: 100% local. No network calls (no socket/urllib/requests imports — verify it yourself).
- No value leakage: secret values are never recorded — only their location.
- Zero dependencies: Python standard library only → easy single-binary / pip install.
Install & run
pip install ai-hacking-defense
ai-hacking-defense # or: python3 scan.py → security_report.html
Checks: credentials · network · OS hardening · AI-agent risk · backup
License: open-core (free core, paid Pro). Zero-exfil is verifiable in source.
1 maintainer
Metadata
1 maintainer
Release files for ai-hacking-defense 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| ai_hacking_defense-0.1.0.tar.gz | 24.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ai_hacking_defense-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 49.7 kB
Release files / ai_hacking_defense-0.1.0.tar.gz
| Download URL | ai_hacking_defense-0.1.0.tar.gz |
|---|---|
| Size | 24.6 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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No |
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twine/7.0.0 CPython/3.13.2
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Release files / ai_hacking_defense-0.1.0-py3-none-any.whl
| Download URL | ai_hacking_defense-0.1.0-py3-none-any.whl |
|---|---|
| Size | 25.1 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.13.2
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