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Security Scan Report: qr-codes.io

Redirected to: https://dik.si/wpEriervb

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Submitted: Dec 3, 2025, 8:01:49 PMCompleted: Dec 3, 2025, 8:04:02 PMpubliccompleted
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Summary

This website contacted 42 IPs in 3 countries across 13 domains to perform 43 HTTP transactions. The main domain is dik.si and was registered NaN years ago.

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

Effective URL: https://dik.si/wpEriervbRedirected

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

AI Security Verdict

Low Risk

Confidence: 82%

2
Risk Score

Low risk site with no malicious activity; safe but limited legitimacy signals.

Risk Factors
Low Cisco Umbrella ranking (rank 840,595)
Low legitimacy score (18/100) indicating limited legitimacy signals
Safety Factors
Domain age > 5 years
Physical address and business entity disclosed
No forms collecting passwords or payment data
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

l.wl.co

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(99%)

Domain Information

The domain 'qr-codes.io' uses the British Indian Ocean Territory country-code top-level domain (.io) without a subdomain. Its registrable label 'qr-codes' stretches across 8 characters holding two vowels versus five consonants, plus one hyphen. Word splitting yields 2 words: qr, codes. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

2.15s
Total Load Time
43
HTTP Requests
13
Domains
1.0 MB
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:59,807 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical99% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
99%
government public service
99%
technology software
99%
blog personal website
99%
news media journalism
98%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10188.114.97.3United States
AS13335CLOUDFLARENET
6142.250.184.200United States
AS15169GOOGLE
6142.250.185.174United States
AS15169GOOGLE
5142.251.140.163United States
AS15169GOOGLE
3142.250.186.98United States
AS15169GOOGLE
2157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
2142.250.185.132United States
AS15169GOOGLE
2172.217.208.95United States
AS15169GOOGLE
2216.239.34.36United States
AS15169GOOGLE
1188.114.96.3United States
AS13335CLOUDFLARENET
4342--

Detected Technologies3

Amazon Web Services
50%
HSTS
40%
Amazon CloudFront
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T191047F77329A063D86554498E057430D9F20B143B50AC9BCBABCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:ifQho9PKBb9JsE9RHCbZgRjFtSBaw9QWgceIsz22bMy8OldE:ZhoC9J395CbZgLtSL3gcrsK2eAS

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:183657:EGSIljQJDhQkKGxQCIJiyjBBAYgGqAKjCgVsEkwFQCCigE52kBHAhElIC4ofIhChIgQ4mEFIACiIEC1DABQoGFDMgBAE5pzh

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:7f7f0f0ffffffcfc
Perceptual Hash:92a952a55e3d3372
Difference Hash:c0c0587860000004
Wavelet Hash:7f7f070f00000300
Color Hash:#3a7778

Other Hashes

Crop Resistant:c0c0587860000004

Scan History

Scan history not available

Unable to load historical scan data