Skip to main content

AI-powered log analysis tool using Groq API

Project description

scanux

A system scanning tool for Linux and Windows systems that:

  • Scans connected users
  • Identifies suspicious behavior
  • Analyzes command history
  • Generates reports in multiple formats

Features

  • User Scanning: Lists all currently connected users with their details
  • Suspicious Behavior Detection: Identifies processes with high CPU/memory usage
  • Command History Analysis: Analyzes recent command history
  • Multiple Report Formats: Supports JSON, Markdown, and HTML output formats
  • Cross-Platform: Works on both Linux and Windows systems

Installation

pip install scanux

Usage

Basic usage:

scanux

Generate a report in a specific format:

scanux --format json
scanux --format markdown
scanux --format html

Save report to a file:

scanux --format json --output report.json
scanux --format markdown --output report.md
scanux --format html --output report.html

Report Contents

The generated report includes:

  • System information (platform, release, version, machine)
  • List of connected users
  • Suspicious behavior detection
  • Recent command history

Requirements

  • Python 3.6 or higher
  • psutil
  • rich
  • click
  • python-dateutil

License

MIT License

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ialog-0.1.0.tar.gz (7.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

ialog-0.1.0-py3-none-any.whl (6.3 kB view details)

Uploaded Python 3

File details

Details for the file ialog-0.1.0.tar.gz.

File metadata

  • Download URL: ialog-0.1.0.tar.gz
  • Upload date:
  • Size: 7.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.9.6

File hashes

Hashes for ialog-0.1.0.tar.gz
Algorithm Hash digest
SHA256 95de552b5dd80c0c501c80be2a5561792d1cacf3616fd2c4223229fb77e53fc8
MD5 4426248e78618751d149fcf163dba130
BLAKE2b-256 de94c769ab7ffe35a3f6e7f7f8546b4a9b6718d80e061bdddc1e8060c12b495e

See more details on using hashes here.

File details

Details for the file ialog-0.1.0-py3-none-any.whl.

File metadata

  • Download URL: ialog-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 6.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.9.6

File hashes

Hashes for ialog-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 9de49a2f11164c4d7e465fc923dca612272b60f87dd40f31c21a30e854ab5a47
MD5 a5a2a0e42fb5be903e1e3d1da252e22a
BLAKE2b-256 3c653fc83258f165e42293c72a78e7888e925c8dc9601c442f19cf5e696d3737

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page