# OWASP/QRLJacking

QRLJacking or Quick Response Code Login Jacking is a simple-but-nasty attack vector affecting all the applications that relays on “Login with QR code” feature as a secure way to login into accounts which aims for hijacking users session by attackers.

Repository: https://github.com/OWASP/QRLJacking
Canonical: https://ross.abutalabs.com/products/qrljacking
Language: Python
License: GPL-3.0
License Family: copyleft
Last push: 2025-08-07T21:07:19+00:00

## Health v2 (maintenance only)
Score: 48/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 35, release rhythm 35, longevity 100
- inputs: {"age_days": 3705, "days_push": 391, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1559, forks 656 (observed 2026-08-28T04:05:03.687133+00:00)

## What it is
QRLJacking is an OWASP project documenting and exploiting the Quick Response Code Login Jacking attack vector, which hijacks user sessions on apps that rely on 'Login with QR code'. It includes QRLJacker, a Python-based exploitation framework for demonstrating the attack.

## Use cases
- demonstrate QR code login session hijacking
- test whether an app's login-with-QR feature is vulnerable
- run social engineering awareness demos
- perform penetration tests on QR-based authentication flows
- study the QRLJacking attack vector from the technical paper

## When to choose
- you are a security researcher or pentester assessing QR-code login flows
- you need a reference implementation and documentation of the QRLJacking attack
- you want to raise awareness of QR login session hijacking risks

## When to avoid
- you want a defensive library to fix QR login vulnerabilities
- you need a production authentication solution
- you lack authorization to test the target application

## Facets
- artifact type: framework
- maturity: active
- function: security, penetration-testing, web-scraping
- domain: security, penetration-testing, web-development
- platform: python, windows, cli
- tags: qrljacking, session-hijacking, social-engineering, qr-code, exploitation-framework, owasp, linux, macos

## Member repositories
- OWASP/QRLJacking (main) score 48

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:03.687133+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:29:48.841776+00:00, confidence not recorded.
  - readme: https://github.com/OWASP/QRLJacking (fetched 2026-08-28T04:05:03.687133+00:00, sha 6dcbe063d6f9)
- Data as of 2026-08-30T08:39:29.467469+00:00.