Security Scan Report: qr-codes.io

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

Submitted: Jan 26, 2026, 6:29:31 AMCompleted: Jan 26, 2026, 6:30:52 AMpubliccompleted
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Summary

This website contacted 6 IPs in 2 countries across 6 domains to perform 1 HTTP transaction. The main domain is amazon.com and was registered NaN years ago.

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

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

High Risk

Confidence: 92%

8
Risk Score

High‑risk phishing site impersonating Amazon via a QR‑codes.io redirect.

Risk Factors
Brand impersonation on unusual domain
Suspicious redirect to Amazon login page
Low ranking for brand claim
Domain not recognized as a legitimate redirect service
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) and has no subdomain. The core label 'qr-codes' covers 8 characters containing 2 vowels alongside five consonants; it also includes one hyphen. Segmentation suggests 2 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/bcKpRi

Page Load Overview

1.95s
Total Load Time
13
HTTP Requests
7
Domains
235 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
33.174.55.35United States
2157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
2135.224.18.46Chicago, Illinois, United States
AS8075Microsoft Corporation
2172.217.20.136United States
AS15169Google LLC
218.245.46.109United StatesUnknown
213.33.52.208New York, New York, United States
AS16509Amazon.com, Inc.
136--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12931A98198F631D3111581E4FDA97E498E818A93A3298EC039DD057C2F85ADECC63128

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:ha/iP71TiiP7HJ2shGtdzxM0h/w392OSIvFGb90VFV1Zg2VKO7Ab:WiTdiiTplMtd9M0tw3IIo50vL+25sb

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1871:AUAAAAAAAAAAgIAAAAAIAAAAIEAEEAAIYIABAAAAAQAkQAAgAAAAAACAIAASVgBYAAIQAAQCgAKAAAAAAggAAAABAQCAEAAA

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:0e0e000000000000
Wavelet Hash:03033f3ff0f0f0f0
Color Hash:#8a931f

Other Hashes

Crop Resistant:0e0e000000000000

Scan History

Scan history not available

Unable to load historical scan data