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🚀 DocuRisq — Ultimate Document Risk & Health Analyzer 🔍🛡️

Analyze ANY document for threats, viruses, structural flaws, and trustworthiness — instantly.

📄 Supports: PDF, DOCX, XLSX, PPTX, TXT, CSV, HTML, XML, JSON, LOG
🔐 Scans for: Macros, JavaScript, Embedded Files, Suspicious URLs, Obfuscation
📊 Outputs: Colorful Summary Table | Trust Score | Risk Level | Raw Data

✨ Built with ❤️ for developers, analysts, and security teams.


🎯 Features

Feature Description
🛡️ Threat Detection Find malware, scripts, macros, exploits
📊 Health Metrics Trust Score, Integrity, Cleanliness
🧾 Summary Table Beautiful output using tabulate
🔄 Multi-Format One API for all document types
🧰 Extensible Easy to add new detectors

📦 Installation

pip install docurisq

Metadata

Release files for docurisq 0.1.5

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for docurisq 0.1.5
File Size Uploaded Provenance Actions
docurisq-0.1.5.tar.gz 2.4 kB Without provenance Details for docurisq-0.1.5.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for docurisq 0.1.5
File Interpreter ABI Platform Actions
docurisq-0.1.5-py3-none-any.whl Python 3 none any Details for docurisq-0.1.5-py3-none-any.whl

Total release size: 4.4 kB

Release files / docurisq-0.1.5.tar.gz

Download URL docurisq-0.1.5.tar.gz
Size 2.4 kB
Tags Source
SHA-256 checksum
How to use checksums
13c0f575f22df7136a9ee4377d84abbe3ae387c661a598cf8015638d24f3f96b
BLAKE2b-256 checksum
How to use checksums
fd5d19ccf3a4337c81bd4aebf81c59953d5a1bb0f5a68d54408c9404f377e29b
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.14.2

Release files / docurisq-0.1.5-py3-none-any.whl

Download URL docurisq-0.1.5-py3-none-any.whl
Size 2.0 kB
Tags Python 3
SHA-256 checksum
How to use checksums
a6ce9b461d70efac359cdb476f730f817fc4bfc6cf59729c925fe33cf2dcdef3
BLAKE2b-256 checksum
How to use checksums
d986ff4aa6c7df6b5d578307bd2861519f2c8ecac6967a509fd1418bd48b86d6
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.14.2

Security for docurisq 0.1.5

Provenance

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No provenance found

None of the files in this release were uploaded with provenance metadata.

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This release

0.1.5 This release

2 release files No provenance

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