Security Scan Report: qr-codes.io

Redirected to: https://www.amazon.com/ap/signin?yyy

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Submitted: Dec 9, 2025, 10:08:21 PMCompleted: Dec 9, 2025, 10:09:51 PMpubliccompleted
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Summary

This website contacted 67 IPs in 3 countries across 12 domains to perform 52 HTTP transactions. The main domain is amazon.com.

Submitted URL: https://qr-codes.io/orm7qU

Effective URL: https://www.amazon.com/ap/signin?yyyRedirected

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

AI Security Verdict

Safe Website

Confidence: 82%

0
Risk Score

Redirect to Amazon login page from an unranked domain; no security threats detected.

Safety Factors
Final URL is the legitimate Amazon login page
Page contains no password or payment fields
Domain ranking is low but does not host malicious content
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(65% confidence)

Category

unknown

(0%)

Domain Information

Within the British Indian Ocean Territory country-code top-level domain (.io), 'qr-codes.io' is registered and has no subdomain. The registrable portion 'qr-codes' spans 8 characters holding two vowels versus 5 consonants, plus 1 hyphen. Segmentation 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/orm7qU

Page Load Overview

31.22s
Total Load Time
52
HTTP Requests
12
Domains
668 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:65%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:65%
Script Type:Latin
Text Length:130 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: dynamic
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
52184.24.77.66Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
018.245.46.54United States
AS16509AMAZON-02
052.21.79.149Ashburn, Virginia, United States
AS14618AMAZON-AES
018.245.46.25United States
AS16509AMAZON-02
0157.240.253.1Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
0108.138.26.105United States
AS16509AMAZON-02
0142.250.186.132United States
AS15169GOOGLE
052.1.168.253Ashburn, Virginia, United States
AS14618AMAZON-AES
054.84.228.203Ashburn, Virginia, United States
AS14618AMAZON-AES
03.226.213.134Ashburn, Virginia, United States
AS14618AMAZON-AES
5267--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T199834AD9F650703365B321B9A0AF550B223B536378488891B81CE5E42F79AEE4373F6D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:dfBIicYxwHjekhGTLveBsAADtQVWcSA4uTf:dfBlxwDek0/v8sAAUXwu7

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:83857:hsNxAoEGARDQnOAOQFWIBRACNAlOGrEGCMAtFDaCECnlVzAT2HqsQbQgoS0AsMRSkgBRF6hIBAwH4xAKDQKgpjChTQCqEBsg

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:c3c3ffffffffffff
Perceptual Hash:b33333332286cece
Difference Hash:0e0c000000000000
Wavelet Hash:c3c3ffff00000000
Color Hash:#1f934e

Other Hashes

Crop Resistant:0e0c000000000000

Scan History

Scan history not available

Unable to load historical scan data