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Open-Source Security · MindPatch

scant3r

ScanT3r is a Python-based, module-driven bug bounty automation framework designed to reduce scripting overhead for web penetration testers. It provides pre-built utilities for logging, parsing, multi-threading, and HTTP handling, allowing security researchers to focus on vulnerability logic rather than boilerplate code. The project is no longer actively maintained; the author recommends migrating to Lotus.

Source: GitHub — github.com/MindPatch/scant3r
685
GitHub stars
150
Forks
Python
Primary language
GPL-3.0
License (OSI-approved)

Key facts

Objective fields from the source. Values we can't verify are shown as “Unknown” rather than guessed.

FieldValue
RepositoryMindPatch/scant3r
OwnerMindPatch
Primary languagePython
LicenseGPL-3.0 — OSI-approved
Stars685
Forks150
Open issues8
Latest release0.9.3 (2022-06-13)
Last updated2026-07-05
Sourcehttps://github.com/MindPatch/scant3r

What scant3r is

ScanT3r is a GPL-3.0 licensed CLI tool written in Python (≥3.10) that abstracts common pentesting tasks through a pluggable module architecture. It includes modules for XSS, SSTI, out-of-band callback detection, and Firebase permission checks, with configurable multi-threading, proxy support, and JSON output. Last release was v0.9.3 (June 2022), though the repository shows a recent push in July 2026, indicating minimal active development.

Quickstart

Get the scant3r source

Clone the repository and explore it locally.

terminalbash
git clone https://github.com/MindPatch/scant3r.gitcd scant3r# follow the project's README for install & configuration

Need it deployed, integrated, or customized instead? DEV.co ships production installs.

Best use cases

Rapid Module Development for Bug Bounties

Teams building custom vulnerability scanners can leverage scant3r's CLI argument handling, threading, logging, and output formatting to accelerate module creation without reinventing infrastructure.

Batch Testing of Common Web Vulnerabilities

Security practitioners can run XSS, SSTI, and callback-based vulnerability checks against URL lists in parallel using pre-configured modules, reducing manual scripting effort.

Integration into Existing Pentesting Pipelines

Organizations with custom scanning workflows can incorporate scant3r modules as building blocks, leveraging JSON output and configurable headers/cookies for integration with orchestration tools.

Implementation considerations

  • Python ≥3.10 required; install via pip from GitHub. No pre-built binaries or containerization documentation provided.
  • Module logic must be written in Python; extend via YAML configuration for CLI options or by adding Python files to the module directory. Learning curve for framework patterns expected.
  • Multi-threading (default 50 workers) and request delays are configurable; monitor resource usage in large-scale deployments.
  • HTTP request handling supports proxies, custom headers, cookies, redirects, and random user-agents; SSL verification behavior not explicitly documented.
  • Output is JSON; no built-in alerting, webhooks, or real-time reporting integration documented.

When to avoid it — and what to weigh

  • Requires Active Maintenance & Support — Project maintainers explicitly discourage new adoption, directing users to Lotus instead. No commits beyond 2022 release; reliance on this tool for production work poses sustainability risk.
  • Need Advanced or Emerging Vulnerability Detection — Module coverage is limited (XSS, SSTI, Firebase, callback-based only). Custom module development requires Python expertise and the framework may not scale to complex scanning scenarios.
  • Commercial or High-Assurance Deployments — GPL-3.0 license requires source disclosure and derivative work release. No warranty, security audit, or SLA available. Unsuitable for proprietary tool distribution or compliance-sensitive environments.
  • Performance-Critical Large-Scale Scanning — Author notes scant3r is 'very slow compared to Lotus'. Not recommended for high-volume or time-sensitive scanning operations.

License & commercial use

GPL-3.0 (GNU General Public License v3.0). Copyleft license requiring any distributed modifications or derivative works to be released under the same license with source code disclosed. This is an OSI-approved permissive license for open-source use but imposes copyleft obligations.

GPL-3.0 permits commercial use internally, but if you distribute a modified or derivative tool (e.g., as a SaaS or proprietary scanner), you must release all source code under GPL-3.0. Unsuitable for closed-source commercial products. Consult legal counsel before embedding in proprietary software. No commercial support or indemnification available.

DEV.co evaluation signals

Editorial assessment — not user reviews. Directional, with an explicit confidence level.

SignalAssessment
MaintenanceStale
DocumentationLimited
License clarityClear
Deployment complexityLow
DEV.co fitPossible
Assessment confidenceHigh
Security considerations

No security audit, threat model, or vulnerability disclosure policy stated. Runs arbitrary Python modules, which poses code execution risk if modules are sourced from untrusted parties. HTTP proxy and callback features transmit request data through external channels—ensure privacy implications are understood. No built-in encryption or authentication for inter-tool communication. Dependency security (pip packages) not explicitly managed. Users assume responsibility for secure deployment, especially with sensitive targets or credentials.

Alternatives to consider

Lotus

Author's recommended successor; addresses performance and architecture concerns flagged in scant3r. Actively maintained (implied by recommendation). Better suited for high-volume scanning.

Burp Suite Extensions (Python/Java)

Commercial or free alternatives for XSS, SSTI, and callback testing integrated into a mature scanner. Broader module ecosystem and professional support available.

Custom Python Frameworks (requests, httpx, asyncio)

Building bespoke scanners with general-purpose libraries offers flexibility, no GPL constraints, and full control over maintenance and dependencies. Requires more upfront engineering but avoids vendor lock-in.

Software development agency

Build on scant3r with DEV.co software developers

If you're building custom security modules or need to integrate vulnerability scanning into your pipeline, explore scant3r's module architecture—or consult Devco on selecting the right scanning framework for your team's needs and budget.

Talk to DEV.co

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scant3r FAQ

Can I use scant3r in a commercial product?
Not in a proprietary/closed-source product without releasing your source code under GPL-3.0. Internal use is permitted. Consult legal counsel before distributing derivatives.
Is scant3r still maintained?
No. Author explicitly recommends migrating to Lotus. Last active release was v0.9.3 (June 2022). Use only for legacy systems or learning; do not adopt for new projects.
How do I add a new vulnerability scanner module?
Create a Python module following scant3r's patterns, add CLI options to conf/opts.YAML, and register the module. Specific documentation is limited; review existing modules (XSS, SSTI, Firebase) as examples.
What are the system requirements?
Python ≥3.10, pip, Git. Installation is via `pip3 install git+https://github.com/knassar702/scant3r`. No special OS or hardware constraints documented.

Work with a software development agency

Need help beyond evaluating scant3r? DEV.co is a software development agency offering software development services and web development for teams of every size. Our software developers and web developers build custom software, web applications, APIs, and open-source security integrations — and maintain them long-term.

Ready to Automate Your Pentesting Workflow?

If you're building custom security modules or need to integrate vulnerability scanning into your pipeline, explore scant3r's module architecture—or consult Devco on selecting the right scanning framework for your team's needs and budget.