ScanMalware.com

Security Scan Report: qr-codes.io

Redirected to:
https://qr-codes.io/1JnF2d
Submitted: Nov 17, 2025, 8:09:39 AMCompleted: Nov 17, 2025, 8:10:41 AMpubliccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/9ce65742-5f67-4821-97dd-bca675e77644Domain and IP registration (RDAP)/api/v1/rdap/9ce65742-5f67-4821-97dd-bca675e77644Certificate Transparency/api/v1/ct/qr-codes.ioHow often this domain was scanned/api/v1/domain/stats/qr-codes.ioScan history for this domain/api/v1/domain/history/qr-codes.io?limit=15

This website contacted 28 IPs in 0 countries across 6 domains to perform 9 HTTP transactions. The main domain is qr-codes.io.

Submitted URL: https://qr-codes.io/Cq6SuC

Effective URL:

https://qr-codes.io/1JnF2d
Redirected

The Cisco Umbrella rank of the primary domain is #840,595 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

No malicious activity detected; site simply returns a Not Found page.

Safety Factors (2)
Domain returns standard 404 page
No suspicious content detected
Domain age information unavailable

Details

Page Title

Not Found

Scan Type

public

Domain Name Analysis

You're looking at domain 'qr-codes.io' on the British Indian Ocean Territory country-code top-level domain (.io) while skipping any subdomain. The core label 'qr-codes' covers 8 characters split between 2 vowels and five consonants, notching 1 hyphen. Tokenizing the label suggests 2 words: qr, codes. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://qr-codes.io/Cq6SuC

Page Load Overview

4.41s
Total Load Time
228 KB
Total Size

Language Analysis

Primary Language

🇧🇩Bengali
Code: bn
Confidence:50%
Script:Unknown
Direction:ltr

Detection Details

Text Length:964 chars
Detector Agreement:100%

Website Classification

Primary Category

cryptocurrency blockchain66% confidence
Type: static
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
66%
technology software
61%
healthcare medical
58%
finance banking
56%
documentation technical
54%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9142.250.185.200UnknownUnknown
018.245.46.54UnknownUnknown
0216.58.206.72UnknownUnknown
057.144.244.128UnknownUnknown
0108.138.26.34UnknownUnknown
018.173.205.127UnknownUnknown
0142.250.186.68UnknownUnknown
018.245.46.109UnknownUnknown
02600:9000:2724:3000:2:36e5:b900:93a1UnknownUnknown
02a00:1450:4001:813::2008UnknownUnknown
928--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T160C08C4FC083528FC02881B838C223E0665C8216A07A92A0BF41D24A64A857CC5C35A9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qLJhquHbsxvUK0e0qRAEtvxL/zUze0GlSwzRWWkRUezQF7hXWSWKqz:q9hqIYxMK0eRmEdxkzetlSwzR/kCezoe

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:80672aefc28cce25825d7078208dc02a

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Perceptual Hashes

Average Hash:3fbfffffffffffff
Perceptual Hash:83030303070fffff
Difference Hash:c040000000000000
Wavelet Hash:30f0f0f0f0f0f0f0
Color Hash:#53a3ac

Other Hashes

Crop Resistant:c040000000000000

Scan History

Scan history not available

Unable to load historical scan data