mantis
Mantis is a Python-based CLI framework that automates security scanning workflows for asset discovery, reconnaissance, and vulnerability detection. It ingests top-level domains or IP ranges and outputs findings on subdomains, open ports, misconfigurations, secrets, and phishing domains via a MongoDB-backed dashboard.
Key facts
Objective fields from the source. Values we can't verify are shown as “Unknown” rather than guessed.
| Field | Value |
|---|---|
| Repository | PhonePe/mantis |
| Owner | PhonePe |
| Primary language | Python |
| License | Apache-2.0 — OSI-approved |
| Stars | 1k |
| Forks | 134 |
| Open issues | 22 |
| Latest release | cli-1.6.0 (2025-03-21) |
| Last updated | 2026-07-07 |
| Source | https://github.com/PhonePe/mantis |
What mantis is
Mantis orchestrates open-source and custom security tools (subdomain enumeration, port scanning, WAF/CDN detection, secrets scanning) in parallel workflows, with support for distributed scanning via Ray framework. It stores results in MongoDB and visualizes them through an AppSmith dashboard; minimum single-machine deployment requires 4GB RAM, 2 cores, 16GB storage.
Get the mantis source
Clone the repository and explore it locally.
git clone https://github.com/PhonePe/mantis.gitcd mantis# follow the project's README for install & configurationNeed it deployed, integrated, or customized instead? DEV.co ships production installs.
Best use cases
Implementation considerations
- Provision dedicated VM with ≥4GB RAM, ≥2 cores, ≥16GB storage; tool is CPU-intensive when running parallel scans (thread count configurable via -tc flag).
- Docker setup is recommended entry point (docker-compose includes MongoDB and AppSmith); shell scripts provided for macOS and Ubuntu only.
- Dashboard requires initial onboard scan and manual AppSmith account setup; JSON template import required to visualize results.
- Distributed scanning via Ray framework available (-r flag) for scale; requires multi-node setup and understanding of actor model.
- Customize workflows and tool integration via config files; framework advertises ability to add new tools in minutes but no templating details provided in excerpt.
When to avoid it — and what to weigh
- Lightweight, Single-Purpose Tool Needed — Mantis combines many tools and runs CPU-intensively in parallel; it is not suitable for resource-constrained environments or teams needing only one specific scanner.
- Production-Grade SLA/Support Required — Tool is in beta phase (per README); no formal support SLA, security guarantees, or vendor backing evident. Unsuitable for mission-critical, unmanaged deployments.
- Requires Extensive Third-Party Integrations — Framework is self-contained with MongoDB and AppSmith; limited evidence of pre-built integrations with popular SIEM, ticketing, or orchestration platforms.
- Windows-Only Infrastructure — Supported OS documented as Ubuntu and macOS only; no official Windows support stated.
License & commercial use
Licensed under Apache License 2.0 (Apache-2.0), a permissive OSI-approved license allowing commercial use, modification, and distribution with limitations on liability and trademark use.
Apache-2.0 is permissive and permits commercial use. However, tool is in beta phase with no explicit vendor support, security certifications, or commercial indemnification; organizations should review liability, support, and maintenance expectations before production deployment.
DEV.co evaluation signals
Editorial assessment — not user reviews. Directional, with an explicit confidence level.
| Signal | Assessment |
|---|---|
| Maintenance | Active |
| Documentation | Adequate |
| License clarity | Clear |
| Deployment complexity | Moderate |
| DEV.co fit | Good |
| Assessment confidence | High |
Tool is designed to *conduct* security scanning; no explicit security posture (vulnerability disclosure, CVSS scoring, threat model, or secure coding practices) documented in README. Beta-phase status and lack of formal security certification warrant review before scanning sensitive assets. Ensure proper credential management (AWS profiles can be passed; details on secrets storage unclear). Secrets scanning module present but mechanisms for secure secret handling during scans not detailed.
Alternatives to consider
Shodan / Censys (Commercial SaaS)
Provide passive asset discovery and reconnaissance without running active scans; cloud-hosted with no deployment overhead, but limited customization and subscription cost.
Nuclei (Open Source)
Focused vulnerability scanner with simple YAML template-based rules; lighter-weight than Mantis but lacks discovery and recon automation, requires manual workflow chaining.
Nessus / Qualys (Commercial)
Enterprise vulnerability management platforms with advanced reporting, compliance frameworks, and vendor support; higher cost and learning curve than Mantis but battle-tested for production use.
Build on mantis with DEV.co software developers
Mantis is in beta and ideal for teams building internal attack surface management pipelines. Start with Docker, run your first scan in minutes, and integrate with your existing security workflows.
Talk to DEV.coRelated open-source tools
Surfaced by semantic similarity across the DEV.co open-source index.
Related on DEV.co
Explore the category and the services that help you build with it.
mantis FAQ
Can Mantis scan Windows or macOS endpoints directly?
What happens if a scan is interrupted or a node fails during distributed scanning?
How are API keys and credentials for integrated tools (e.g., AWS Route53) securely stored?
Does Mantis require internet access to run, and does it phone home?
Software development & web development with DEV.co
DEV.co helps companies turn open-source tools like mantis into production software. Our software development services cover the full lifecycle — architecture, web development, integration, and maintenance — delivered by software developers and web developers who ship. Engage our software development agency to implement or customize it for your open-source security stack.
Ready to Automate Your Security Reconnaissance?
Mantis is in beta and ideal for teams building internal attack surface management pipelines. Start with Docker, run your first scan in minutes, and integrate with your existing security workflows.