A powerful web vulnerability scanner with SQL injection, SSTI, exposed path detection, and AI-powered analysis.
Project description
dotSpot
A powerful web vulnerability scanner built in Python.
Features
- SQL Injection (SQLi) detection with comprehensive payload testing
- Server-Side Template Injection (SSTI) scanning
- Exposed Path Discovery for sensitive files and directories
- Cookie Security analysis
- HTML Comment extraction for information leakage
- JavaScript Analysis for secrets and sensitive data
- Base64 Decoding of embedded data
- AI-Powered Analysis via Groq for intelligent scan report summaries
Installation
pip install dotspot
Usage
Scan a target URL
dotspot scan <target-url>
You'll be prompted to choose between vulnerability scanning or flag hunting mode.
Analyze scan results with AI
dotspot analyze <scan-report.json>
Optionally pass --api-key YOUR_KEY or set the GROQ_API_KEY environment variable.
Show help
dotspot help
Requirements
- Python 3.9+
License
MIT License — see LICENSE for details.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file dotspot-0.0.1.tar.gz.
File metadata
- Download URL: dotspot-0.0.1.tar.gz
- Upload date:
- Size: 35.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.14.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
afb383e512181c4dbd70ed8fa7e0cb10cd1575a30c5159a7c11b979df4f62122
|
|
| MD5 |
235757669a554d20ff584d3771f7c92e
|
|
| BLAKE2b-256 |
17113c70db5dc185f4e175c84e8e356533ab1b72d7eb7c3d994f0191cf57d008
|
File details
Details for the file dotspot-0.0.1-py3-none-any.whl.
File metadata
- Download URL: dotspot-0.0.1-py3-none-any.whl
- Upload date:
- Size: 41.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.14.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
4accea40a1c692105acd179265cd5b3785525596d86f76bfc4acf072ba306da9
|
|
| MD5 |
9d0621ecaaac99ab912e2d723d3e15b8
|
|
| BLAKE2b-256 |
ec0e8bf93c613bf91d70ce7754be6049542245af9b202da828f6e77bf4a175eb
|
