Security Scan Report: qr-codes.io

Submitted: Nov 17, 2025, 9:04:42 AMCompleted: Nov 17, 2025, 9:05:44 AMpubliccompleted
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Summary

This website contacted 4 IPs in 0 countries across 1 domain to perform 2 HTTP transactions. The main domain is qr-codes.io.

Submitted URL: https://qr-codes.io/QR4niq

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; the URL returns a 404 page.

Safety Factors
No suspicious activity detected
Domain ranking low but no other malicious indicators
Domain age information unavailable

Details

Page Title

Not Found

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(62%)

Domain Information

Domain 'qr-codes.io' uses the British Indian Ocean Territory country-code top-level domain (.io) and has no subdomain. The second-level label 'qr-codes' is 8 characters long containing two vowels alongside five consonants; it also includes 1 hyphen. Breaking it apart gives two words: qr, codes. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://qr-codes.io/QR4niq

Page Load Overview

3.31s
Total Load Time
2
HTTP Requests
1
Domains
0 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:72 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism62% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
62%
adult content
60%
government public service
56%
healthcare medical
54%
cryptocurrency blockchain
50%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
018.245.46.109UnknownUnknown
018.245.46.54UnknownUnknown
018.245.46.111UnknownUnknown
018.245.46.25UnknownUnknown
24--

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:#406cbf

Other Hashes

Crop Resistant:c040000000000000

Scan History

Scan history not available

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