ScanMalware.com

Security Scan Report: qr-codes.io

Redirected to: https://accmanageupdtpymntowseg9vwioeewo.bersidekedg.biz.id/?erhbergthb

Submitted: Nov 10, 2025, 11:19:00 PMCompleted: Nov 10, 2025, 11:19:48 PMpubliccompleted
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Summary

This website contacted 29 IPs in 0 countries across 6 domains to perform 7 HTTP transactions. The main domain is accmanageupdtpymntowseg9vwioeewo.bersidekedg.biz.id.

Submitted URL: https://qr-codes.io/C0KUjb

Effective URL: https://accmanageupdtpymntowseg9vwioeewo.bersidekedg.biz.id/?erhbergthbRedirected

AI Security Verdict

Low Risk

Confidence: 70%

3
Risk Score

Site appears suspicious due to new, unranked domain and error page, but no direct malicious activity detected.

Risk Factors
New/unknown domain age
Unranked domain with low reputation
Suspicious random subdomain
Unreachable page suggesting possible malicious redirect
Safety Factors
No credential or payment forms detected
No malicious Indicators of Compromise matches found
No brand impersonation observed
Domain age information unavailable

Details

Page Title

accmanageupdtpymntowseg9vwioeewo.bersidekedg.biz.id

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

cryptocurrency blockchain

(69%)

Domain Information

The domain name 'qr-codes.io' uses the British Indian Ocean Territory country-code top-level domain (.io). Its registrable label 'qr-codes' stretches across 8 characters split between 2 vowels and 5 consonants; bonus characters include 1 hyphen. Breaking it apart gives two words: qr, codes. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://qr-codes.io/C0KUjb

Page Load Overview

2.37s
Total Load Time
7
HTTP Requests
6
Domains
120 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:443 chars
Detector Agreement:67%

Website Classification

Primary Category

cryptocurrency blockchain69% confidence
Type: static
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
69%
government public service
69%
news media journalism
68%
documentation technical
65%
technology software
62%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7108.138.26.105UnknownUnknown
018.173.205.121UnknownUnknown
0142.250.186.168UnknownUnknown
0142.250.184.228UnknownUnknown
018.245.46.25UnknownUnknown
0142.250.186.104UnknownUnknown
057.144.244.128UnknownUnknown
018.173.205.127UnknownUnknown
0108.138.26.34UnknownUnknown
02600:9000:2724:1e00:2:36e5:b900:93a1UnknownUnknown
729--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T176048F77329A063986458499E057430D9F20B143B50ACDBC7ABCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:EfQho9PKBb9JsE9RHCbZgRjFtSBaw9QWgceIsze2bMy8Oldg:3hoC9J395CbZgLtSL3gcrsq2eAC

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:183782:4EuT4iGysEBIChxEq4FhDRIKQIMAEMBlNHxNgsAFDCkBNBgAIIMOBk9qogkcJDSUUAKDNPIAEsAFB8VbQDGBmBUoilQD0hoE

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:ffcfc7c7ffffffff
Perceptual Hash:b331cccccc333366
Difference Hash:00181c1c00000000
Wavelet Hash:ffdfc3c700000000
Color Hash:#bf406e

Other Hashes

Crop Resistant:00181c1c00000000

Scan History

Scan history not available

Unable to load historical scan data