Security Scan Report: qr-codes.io

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

Submitted: Nov 2, 2025, 11:23:16 PMCompleted: Nov 2, 2025, 11:24:20 PMpubliccompleted
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Summary

This website contacted 62 IPs in 2 countries across 12 domains to perform 29 HTTP transactions. The main domain is amazon.com.

Submitted URL: https://qr-codes.io/PvUQ82

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

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

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

Safety Factors
Redirect resolves to official Amazon domain
No sensitive data collection forms detected
No malicious Indicators of Compromise matches found
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(65% confidence)

Category

unknown

(0%)

Domain Information

The domain 'qr-codes.io' uses the British Indian Ocean Territory country-code top-level domain (.io) without a subdomain. Its registrable label 'qr-codes' stretches across 8 characters containing 2 vowels alongside 5 consonants, plus one hyphen. Tokenizing the label suggests 2 words: qr, codes. The median word length lands at 3.5 characters. The linguistic tilt is German for 'codes'. Usage also turns up in English and French contexts. Overall, 'qr-codes.io' reads as German with character flair.

Screenshot

Security scan screenshot of https://qr-codes.io/PvUQ82

Page Load Overview

41.10s
Total Load Time
29
HTTP Requests
12
Domains
234 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
2918.245.46.111United States
AS16509AMAZON-02
034.239.55.211Ashburn, Virginia, United States
AS14618AMAZON-AES
03.160.154.172United States
AS16509AMAZON-02
03.94.38.93Ashburn, Virginia, United States
AS14618AMAZON-AES
0142.250.186.104United States
AS15169GOOGLE
054.158.204.67Ashburn, Virginia, United States
AS14618AMAZON-AES
0216.58.206.36United States
AS15169GOOGLE
018.173.205.121United States
AS16509AMAZON-02
0146.75.121.16Frankfurt am Main, Hesse, Germany
AS54113FASTLY
023.21.248.223Ashburn, Virginia, United States
AS14618AMAZON-AES
2962--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T104833AD9F650703365B32179A0AF550B223B136378888891B81DE5E43F79AEE4363F6D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:dfZIiTYxGHjekhGTLveBsAADtQVWcSA4uTI:dfZMxGDek0/v8sAAUXwuE

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:83870:BEg1aQBGKSYHqkmsQLIAYgAFiRYgwShuAiyIMxZJ07bQDASoiKBkcpQgoRwpmAUAmIKgJUKNaAiwYpAAjEAIDkWDWAFkAcAA

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:#40bfae

Other Hashes

Crop Resistant:0e0c000000000000

Scan History

Scan history not available

Unable to load historical scan data