Security Scan Report: qr-codes.io

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

Submitted: Oct 25, 2025, 8:52:30 PMCompleted: Oct 25, 2025, 8:54:09 PMpubliccompleted
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Summary

This website contacted 71 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/ert1zh

Effective URL: https://www.amazon.com/ap/signinRedirected

AI Security Verdict

Safe Website

Confidence: 85%

1
Risk Score

Redirect leads to legitimate Amazon site; no phishing or scam indicators detected.

Safety Factors
Established domain age
Final destination is a legitimate Amazon login page
Absence of credential‑harvesting or payment forms
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(59% confidence)

Category

other

(37%)

Domain Information

Domain 'qr-codes.io' uses the British Indian Ocean Territory country-code top-level domain (.io). Its registrable label 'qr-codes' stretches across 8 characters holding two vowels versus five consonants; it also includes one hyphen. Breaking it apart gives two words: qr, codes. Median word length comes out to 3.5 characters. 'codes' most strongly signals German. Secondary signals appear in English and French. Net impression: German phrase with character flair.

Screenshot

Security scan screenshot of https://qr-codes.io/ert1zh

Page Load Overview

54.64s
Total Load Time
29
HTTP Requests
12
Domains
230 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

other37% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

other
37%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2918.213.15.23Ashburn, Virginia, United States
AS14618AMAZON-AES
054.192.34.180United States
AS16509AMAZON-02
0108.138.26.105United States
AS16509AMAZON-02
018.245.35.9United States
AS16509AMAZON-02
0172.217.18.8United States
AS15169GOOGLE
0157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
023.23.110.230Ashburn, Virginia, United States
AS14618AMAZON-AES
018.173.205.35United States
AS16509AMAZON-02
054.86.97.160Ashburn, Virginia, United States
AS14618AMAZON-AES
044.215.116.52Ashburn, Virginia, United States
AS14618AMAZON-AES
2971--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T154833AD9F650703365B3217DA0AF550B223B136378888891B85DE4E42F79AEE4363F6D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:dflIiVYxmHjekhGTLveBsAADtQVWcSA4uTw:dflKxmDek0/v8sAAUXwuU

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:83834:A2AaGwUQMDQgss6MgCAwSIAsIAVAEICkURCU0gAkUHK1+DICKCCoxGEFAOEKCARAUgNAizwAmwZgNCIIJnRoDCS5jTcMIJAA

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:#6ce096

Other Hashes

Crop Resistant:0e0c000000000000

Scan History

Scan history not available

Unable to load historical scan data