Sirius: Open-Source Vulnerability Scanner with Real-time Monitoring

This repository profile is provided by osrepos.com, an open source repository discovery platform.

Sirius: Open-Source Vulnerability Scanner with Real-time Monitoring

Summary

Sirius is an open-source, comprehensive vulnerability scanner that integrates community-driven security intelligence and automated penetration testing. Its latest v0.4.0 release introduces robust system monitoring and observability features, enhancing its capabilities. The platform offers a user-friendly interface and a quick Docker-based setup, making it accessible for security professionals.

Repository Information

Analyzed by OSRepos on January 3, 2026

Use at your own risk

OSRepos shares public repositories for knowledge and discovery only. Any installation, execution, configuration, or use of code from these repositories is the user's own responsibility. Always review the repository, source code, dependencies, licenses, and security implications before running or installing anything. OSRepos is not responsible for issues, damages, or losses resulting from third-party repositories.

Introduction

Sirius is an open-source, comprehensive vulnerability scanner designed to empower security professionals with advanced penetration testing capabilities. It leverages community-driven security intelligence to provide robust vulnerability detection and risk management. The latest v0.4.0 release significantly enhances its capabilities by introducing comprehensive system monitoring and observability features, alongside improved reliability and production-ready Docker configurations. Get started quickly with its straightforward Docker-based setup.

Installation

Getting Sirius up and running is designed to be simple and fast, primarily using Docker Compose.

Prerequisites

  • Docker Engine: Version 20.10.0+ with Docker Compose V2.
  • System Requirements: Minimum 4GB RAM, 10GB free disk space.
  • Network Access: Internet connectivity for vulnerability database updates.
  • Supported Platforms: Linux, macOS, Windows (with WSL2).

One-Command Setup

Clone the repository and start Sirius using Docker Compose. This uses prebuilt images for a quick deployment.

git clone https://github.com/SiriusScan/Sirius.git
cd Sirius
docker compose up -d

Once started, access the web interface by opening http://localhost:3000 in your browser. Default login credentials are admin / password, which should be changed immediately in production environments.

Examples

Sirius offers a wide array of features for comprehensive security assessments.

Core Capabilities

  • Network Discovery: Automated host discovery and service enumeration.
  • Vulnerability Assessment: CVE-based vulnerability detection with CVSS scoring.
  • Risk Management: Comprehensive risk scoring and remediation guidance.
  • Automated Scanning: Scheduled and continuous security assessments.
  • Real-time Dashboards: Live scanning progress and vulnerability metrics.

Supported Scan Types

  • Network Scanning (Nmap-based)
  • Vulnerability Scanning (NSE script-based)
  • SMB/Windows Assessment
  • Custom Workflows
  • Agent-based Scanning

API Integration Example

Sirius provides a robust REST API for integration into existing security workflows. Here's how to initiate a network scan via the API:

curl -X POST http://localhost:9001/api/scans \
  -H "Authorization: Bearer $TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"target": "192.168.1.0/24", "scan_type": "network"}'

Why Use Sirius

Sirius stands out as a powerful tool for several reasons:

  • Comprehensive Security: Offers end-to-end vulnerability scanning, from network discovery to detailed risk assessment and remediation guidance.
  • Real-time Insights: Provides live dashboards, system monitoring, and centralized logging for immediate visibility into security posture and system health.
  • Ease of Deployment: With its Docker-based setup, you can get a full scanning environment running in minutes.
  • Scalable Architecture: Built on a microservices architecture (Go, Next.js, PostgreSQL), it's designed for performance and scalability across various environments.
  • Extensible and Integrable: Features a comprehensive REST and WebSocket API, allowing seamless integration with other security tools and custom workflows.
  • Community-Driven: Benefits from community intelligence, ensuring up-to-date vulnerability databases and evolving capabilities.

Links

Related repositories

Similar repositories that may be relevant next.

SandBase Harness: Local-First AI Agent Runtime with Sandboxed Sessions

SandBase Harness: Local-First AI Agent Runtime with Sandboxed Sessions

September 13, 2026

SandBase Harness is a local-first, self-hosted runtime for AI agents, offering sandboxed sessions, memory, and credentials. This TypeScript-based project provides a robust infrastructure for managing and observing AI agents, ensuring auditability and secure execution on your own machine or infrastructure.

AI AgentsAgent RuntimeSelf-Hosted
A3M Router: Biology-Inspired LLM Routing for Cost Savings and Performance

A3M Router: Biology-Inspired LLM Routing for Cost Savings and Performance

September 13, 2026

A3M Router is an open-source, biology-inspired LLM router designed to optimize costs and performance across over 80 providers. It leverages principles like swarm intelligence and neural plasticity to offer adaptive, resilient, and cost-effective AI routing. This tool helps users save significantly on AI costs by intelligently selecting the best model for each query.

LLM RoutingAI GatewayCost Optimization
Skill Recorder: Turn Screen Recordings into AI Agent Skills

Skill Recorder: Turn Screen Recordings into AI Agent Skills

September 11, 2026

Skill Recorder is a desktop application that captures your on-screen work sessions, including clicks and app switches. It leverages the GitHub Copilot CLI to analyze these recordings, reconstructing them into an intent and ordered steps. This process allows users to generate reusable AI agent skills or automations for platforms like Microsoft Scout, Copilot Cowork, or Copilot Studio.

AI AgentsAutomationCopilot
Apache Maka: A High-Performance Agent Workspace for AI Tasks

Apache Maka: A High-Performance Agent Workspace for AI Tasks

September 11, 2026

Apache Maka is an incubating project from The Apache Software Foundation, offering a high-performance agent workspace designed to meticulously record all agent activities. It provides a local-first environment for AI agents, allowing users to bring their own models and ensuring transparent, measurable task completion. This project aims to set a new standard for agent reliability and accountability.

AI AgentAgent WorkspaceLLM

Source repository

Open the original repository on GitHub.

14 counted GitHub visits

View on GitHub
OS
OSRepos

Analysis and discovery of open source repositories. Find interesting projects and follow their updates.

Monitor your website with YourWebsiteScore

OSRepos shares public repositories for knowledge and discovery only. Any installation, execution, configuration, or use of third-party repository code is at your own risk. Always review source code, dependencies, licenses, and security implications before running anything.

© 2025 OSRepos. Built with Nuxt 3 and lots of ❤️