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Security Scan Report: qr-codes.io

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

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Submitted: Dec 9, 2025, 9:07:36 PMCompleted: Dec 9, 2025, 9:08:06 PMpubliccompleted
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Summary

This website contacted 61 IPs in 2 countries across 12 domains to perform 30 HTTP transactions. The main domain is amazon.com and was registered NaN years ago.

Submitted URL: https://qr-codes.io/38046F

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

Low Risk

Confidence: 80%

2
Risk Score

Redirect from an obscure domain to a legitimate Amazon login page; low risk but monitor for abuse.

Risk Factors
Low Cisco Umbrella ranking of the redirect domain (rank 840,595)
Redirect originates from an unknown domain (qr-codes.io) that is not a recognized legitimate redirect service
Safety Factors
Final destination is the official Amazon domain
No credential‑harvesting or payment forms on the initial site
Long domain age suggests established ownership
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(65% confidence)

Category

unknown

(0%)

Domain Information

The domain name 'qr-codes.io' uses the British Indian Ocean Territory country-code top-level domain (.io). Count 8 characters in 'qr-codes' containing 2 vowels alongside five consonants; bonus characters include 1 hyphen. Tokenizing the label suggests two 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/38046F

Page Load Overview

5.24s
Total Load Time
30
HTTP Requests
12
Domains
232 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
3018.173.205.121United States
AS16509AMAZON-02
044.218.159.55Ashburn, Virginia, United States
AS14618AMAZON-AES
0142.250.186.100United States
AS15169GOOGLE
0108.138.26.92United States
AS16509AMAZON-02
052.207.22.130Ashburn, Virginia, United States
AS14618AMAZON-AES
054.192.34.180United States
AS16509AMAZON-02
03.174.55.35United States
AS16509AMAZON-02
0216.58.206.72United States
AS15169GOOGLE
054.210.213.108Ashburn, Virginia, United States
AS14618AMAZON-AES
020.57.3.79Boydton, Virginia, United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
3061--

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

T175834AD9F650703365B3217DA0AF550B223B136378488891B45CE5E42FB9ADE4363F6D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:dftIiAYxwHjekhGTLveBsAADtQVWcSA4uTp:dftJxwDek0/v8sAAUXwuN

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:83840:ADgg4LQhoalFAsCbUBIFJBDLMHByyqEKQV4AUAGwZvDIIKQgQBAZwooChVIQAZ0gVIFoABWgEgBAAEApY0JziwSE95EkCkJl

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:#7753ac

Other Hashes

Crop Resistant:0e0c000000000000

Scan History

Scan history not available

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