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Security Scan Report: qr-codes.io

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

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Submitted: Oct 30, 2025, 3:11:07 PMCompleted: Oct 30, 2025, 3:13:59 PMpubliccompleted
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Summary

This website contacted 75 IPs in 2 countries across 12 domains to perform 29 HTTP transactions. The main domain is amazon.com and was registered NaN years ago.

Submitted URL: https://qr-codes.io/lWtCZ7

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

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Redirect leads to legitimate Amazon sign‑in page; no phishing or scam indicators detected.

Safety Factors
Final destination matches official Amazon domain
Old, well‑established domain age
No forms collecting sensitive data
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(59% confidence)

Category

unknown

(0%)

Domain Information

Domain 'qr-codes.io' uses the British Indian Ocean Territory country-code top-level domain (.io) with no subdomain. The second-level label 'qr-codes' is 8 characters long with two vowels and 5 consonants, notching 1 hyphen. Word splitting yields two words: qr, codes. Expect 3.5 characters per word on average. The linguistic tilt is German for 'codes'. You may catch it in English and French as well.

Screenshot

Security scan screenshot of https://qr-codes.io/lWtCZ7

Page Load Overview

1.42s
Total Load Time
29
HTTP Requests
12
Domains
224 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:59%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:59%
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
952.54.47.201Ashburn, Virginia, United States
AS14618AMAZON-AES
799.84.153.167United States
AS16509AMAZON-02
354.192.34.180United States
AS16509AMAZON-02
2142.250.185.72United States
AS15169GOOGLE
244.199.180.130Ashburn, Virginia, United States
AS14618AMAZON-AES
1108.138.26.92United States
AS16509AMAZON-02
120.15.105.116Boydton, Virginia, United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
118.173.205.35United States
AS16509AMAZON-02
1157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
1142.250.184.196United States
AS15169GOOGLE
2975--

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

T121833AD9F650303365B321BDA0AF550B223B536378488891B85CE5E42F79AEE4363F6D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:dflIiDYxIHjekhGTLveBsAADtQVWcSA4uTj:dfl8xIDek0/v8sAAUXwuv

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:83845:AsE0KhQKB7ASSSgFkER1hLYKrgYEiSCD4oAFEHbBUK0AKKYgAoyGENMW5AFiUigEQALArAu0ABgiaV4oEDggpbrQQmAJ1pAg

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:#40931f

Other Hashes

Crop Resistant:0e0c000000000000

Scan History

Scan history not available

Unable to load historical scan data