Security Scan Report: qr-codes.io

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

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Submitted: Dec 14, 2025, 6:54:30 PMCompleted: Dec 14, 2025, 6:55:29 PMpubliccompleted
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Summary

This website contacted 42 IPs in 2 countries across 9 domains to perform 15 HTTP transactions. The main domain is amazon.com and was registered NaN years ago.

Submitted URL: https://qr-codes.io/kXK7z3

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

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

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

No security concerns detected; the redirect leads to a legitimate Amazon page.

Safety Factors
Final URL is a legitimate Amazon domain
Domain age is well established (over 30 years)
No suspicious forms or data collection observed
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 while skipping any subdomain. The second-level label 'qr-codes' is 8 characters long with 2 vowels and 5 consonants, along with one hyphen. Word splitting yields 2 words: qr, codes. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://qr-codes.io/kXK7z3

Page Load Overview

12.30s
Total Load Time
15
HTTP Requests
9
Domains
217 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: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1518.173.205.35United States
AS16509AMAZON-02
0108.138.26.70United States
AS16509AMAZON-02
0157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
054.230.64.35United States
AS16509AMAZON-02
020.57.3.79Boydton, Virginia, United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
0142.250.185.168United States
AS15169GOOGLE
0142.250.186.164United States
AS15169GOOGLE
018.245.46.111United States
AS16509AMAZON-02
023.58.110.164Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
02a02:26f0:3500:2a5::3bd4Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1542--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E331BB8298F631D31115C1E4FDA9BE498EC18A53A3398DC079DD057D2FC6ADECC67128

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:k/iP71TiiP7HJ2shGtdzxM0h/w392OSIvFGb90VFV1Zg2VKO7Ab:KiTdiiTplMtd9M0tw3IIo50vL+25sb

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1856:AYEAgBAAAAAAIRAQQAAAAUIBAQAAgAAQABAEQAAAAAQggACAAEQAAQAAAAAKQABASAAjQAAAAAIAAQAhAAAAAEAAIIAAAAIE

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:#a8ac53

Other Hashes

Crop Resistant:0e0c000000000000

Scan History

Scan history not available

Unable to load historical scan data