qrpypass 0.1.2

Headless QR decoder + TOTP authenticator Flask mini-service

qr-pypass

qr-pypass is a lightweight, headless QR decoding and TOTP authentication service built for offline-first security workflows.

It is designed for air-gapped labs, red-team and blue-team tooling, automation pipelines, and environments where QR codes and 2FA need to be processed locally, without mobile devices or cloud dependencies.

Homepage: https://ginkorea.one Source: https://github.com/ginkorea/qr-pypass PyPI: https://pypi.org/project/qrpypass/

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What It Does

With qr-pypass, you can:

• Decode QR codes from screenshots or images
• Detect and classify QR payloads (URL, text, otpauth)
• Generate QR codes programmatically
• Generate, import, store, and verify TOTP (RFC 6238) secrets
• Run everything locally with no outbound network access

The project exposes both:

• A Python API for direct integration
• A Flask-based HTTP service with a minimal web UI

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Core Features

QR Decoding

• Detects multiple QR codes anywhere in an image
• Uses OpenCV with multi-pass detection and tiling fallback
• Returns bounding boxes, corner points, and decode method
• Robust against screenshots, partial QRs, and large images

Payload Classification

Automatically classifies decoded payloads as:

• url (with normalization)
• text
• otpauth (TOTP provisioning URIs)

TOTP / OTPAuth

• Generate RFC-compliant otpauth://totp URIs
• Import existing provisioning URIs
• Secure local storage (optional encryption at rest)
• Generate current TOTP codes
• Verify TOTP codes with configurable time window

QR Generation

• Generate QR codes for:

  • URLs
  • Arbitrary text
  • TOTP provisioning URIs

• Control box size and border

• Outputs PNG images

Service and Web UI

• Flask-based HTTP API

• Minimal web UI for:

  • Uploading screenshots or images
  • Viewing decoded QR payloads
  • Generating QR codes
  • Managing stored TOTP accounts

No JavaScript frameworks. No external assets.

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Installation

From PyPI

pip install qrpypass

Python 3.9+ is required.

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From Source (Development)

git clone https://github.com/ginkorea/qr-pypass.git
cd qr-pypass

python -m venv .qr-env
source .qr-env/bin/activate

pip install -r requirements.txt
pip install -e .

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Running the Service

python -m qrpypass.service.run

By default, the service runs at:

http://127.0.0.1:5000

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Configuration

The service can be configured using environment variables:

Variable	Default	Description
QRPYPASS_HOST	127.0.0.1	Bind address
QRPYPASS_PORT	5000	Port
QRPYPASS_DEBUG	0	Enable Flask debug mode
QRPYPASS_STORE_DIR	~/.qrpypass	Local account storage directory

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Web UI Routes

• / – QR scan UI (upload screenshots or images)
• /gen – QR payload and TOTP generator
• /vault – Stored TOTP account management

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API Overview

Health Check

GET /health

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Scan QR Codes

POST /scan
Content-Type: multipart/form-data

Form fields

• file (required) – image file
• max_results (optional, default: 8)

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Generate Payload

POST /gen/payload
Content-Type: application/json

{
  "kind": "url | text | totp",
  "params": { },
  "import": false,
  "passphrase": null
}

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Generate QR Image

POST /gen/qr
Content-Type: application/json

{
  "payload": "...",
  "box_size": 8,
  "border": 2
}

Returns image/png.

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TOTP Endpoints

Endpoint	Description
POST /auth/import	Import otpauth URI
GET /auth/list	List stored accounts
GET /auth/code	Get current TOTP code
POST /auth/verify	Verify TOTP code

An optional passphrase encrypts the TOTP store at rest.

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Python API Example

from qrpypass.qr import scan_and_classify

hits = scan_and_classify("screenshot.png")
for hit in hits:
    print(hit.classification.kind, hit.qr.payload)

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Testing

End-to-end tests are included:

python test/api-test.py
python test/full_api_smoke.py
python test/test_totp_verify_flow.py

These cover:

• QR generation → scan → classification
• TOTP generation, import, code generation, and verification

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Security Notes

• Secrets are never logged
• TOTP storage can be encrypted at rest
• No outbound network access
• Suitable for air-gapped or lab environments

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Common Use Cases

• QR extraction from screenshots (2FA enrollment, phishing analysis)
• Headless TOTP verification in security tooling
• Red-team and blue-team labs
• Offline QR decoding pipelines
• Local alternatives to mobile authenticator apps

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License

MIT

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Author

Josh Gompert https://ginkorea.one