Edith Neural OS
Advanced AI Agent with elite hacking capabilities.
Features
- Phone Unlocker: Proximity-based Bluetooth/ADB unlocking (Pass-the-Hash).
- Hacking Suite:
- Bluetooth Computer Compromise (PTH)
- USB Rubber Ducky Simulation
- Wi-Fi Deauth & ARP Poisoning
- SMB EternalBlue Scan
- RDP Brute Force
- Stealth Audio Recording
- Browser Password Extraction
- Rootkit Scanning
- Media: Generative AI Image creation security fallback.
- Automation: Full OS control.
Installation & Usage
- Install:
pip install . - Run:
Edith
1 maintainer
Metadata
1 maintainer
Release files for friday-neural-os 1.8.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| friday_neural_os-1.8.0.tar.gz | 143.5 kB | Without provenance | Details for friday_neural_os-1.8.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| friday_neural_os-1.8.0-py3-none-any.whl | Python 3 | none | any | Details for friday_neural_os-1.8.0-py3-none-any.whl |
Total release size: 196.5 kB
Release files / friday_neural_os-1.8.0.tar.gz
| Download URL | friday_neural_os-1.8.0.tar.gz |
|---|---|
| Size | 143.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
d5a7d21f4872b5228aed2aad6d86d8c9999de8aede57b5103a1a1c25b814535a
|
|
BLAKE2b-256 checksum How to use checksums |
0d8915287cd794185337c1554437e85900f7ed819190c08c4bbb6f1247227de9
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.4
|
Release files / friday_neural_os-1.8.0-py3-none-any.whl
| Download URL | friday_neural_os-1.8.0-py3-none-any.whl |
|---|---|
| Size | 53.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
ca5994fbdb7cf505dd37024f3e288b1a8f02c0410cce1e6af096657e7b8d9f95
|
|
BLAKE2b-256 checksum How to use checksums |
2e01571d57422debadd7e54144639ff735e929595389b54955f1d24e52537f45
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.4
|
Security for friday-neural-os 1.8.0
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
