ScanMalware.com

Security Scan Report: ydqsg.top

Redirected to:
https://www.amazon.com/
Submitted: Apr 30, 2026, 3:44:06 AMCompleted: Apr 30, 2026, 3:45:32 AMpubliccompleted
Loading additional data...

Summary

This website contacted 8 IPs in 3 countries across 9 domains to perform 1 HTTP transaction. The main domain is amazon.com and was registered NaN years ago.

Submitted URL: http://ydqsg.top/

Effective URL: https://www.amazon.com/Redirected

AI Security Verdict

Moderate Risk

Confidence: 92%

5
Risk Score

The site impersonates Amazon using meta tags and redirects, with strong phishing indicators despite its age; avoid and report.

Risk Factors
Brand impersonation with domain mismatch
Unranked domain on a major brand name
Critical IDS alert for obfuscation
DevTools blocking
Redirects to legitimate site (potential lure)
Safety Factors
Domain age >30 years (well‑established)
No malicious Indicators of Compromise detected
No credential or payment forms present
No JavaScript malware YARA matches
Established domain (11502 days old) with no strong malicious indicators — risk clamped from 8 to 5
Domain age information unavailable

Details

Page Title

Amazon.com. Spend less. Smile more.

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

e-commerce shopping

(82%)

Domain Information

You're looking at domain 'ydqsg.top' on the .top top-level domain and has no subdomain. The second-level label 'ydqsg' is 5 characters long split between zero vowels and 5 consonants. Word splitting yields 3 words: yd, qs, g. Expect two characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://ydqsg.top/

Page Load Overview

1.31s
Total Load Time
421
HTTP Requests
50
Domains
4.2 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en-us
Text Length:6,365 chars
Detector Agreement:80%

Website Classification

Primary Category

e-commerce shopping82% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

e-commerce shopping
82%
documentation technical
41%
technology software
33%
entertainment media
33%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
57192.166.225.79Netherlands
AS63023GTHost
5244.215.132.129Ashburn, Virginia, United States
AS14618Amazon.com, Inc.
5218.245.35.9United States
AS16509Amazon.com, Inc.
5298.82.156.207Ashburn, Virginia, United States
AS14618Amazon.com, Inc.
5234.196.70.53Ashburn, Virginia, United States
AS14618Amazon.com, Inc.
522.23.246.146Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
5244.215.137.166Ashburn, Virginia, United States
AS14618Amazon.com, Inc.
52104.18.94.41United States
AS13335Cloudflare, Inc.
4218--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1692518B3E5B13033212B55E6E56F77847262D207E3028BD1F8DD23246BCAD67162792E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24576:SH2y5kSfOD1hdiPOV354kgSJs7u0KZKGK1av5helY8Vg:Q2YSCKZKs5YY8e

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:981427:GgMVjjqxEIgIgAAgAai62iCN4EQaOvIHEGAo2UBJKHgAQEFsj4BIkCCgEAAAgHQiBIB66IFAJDUHKxRFIKAUUQiBQEJUdXFB

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:00c181ffc3c3ffb7
Perceptual Hash:e45b536451d34e53
Difference Hash:801b2b271707c665
Wavelet Hash:00c181f7c381ffb7
Color Hash:#1f9323

Other Hashes

Crop Resistant:801b2b271707c665,828082d2d2828092,c9c9c1d9e29a9292,539bbb5b4b6b6949,f8e2c53537842c2b,cecfd7f3f394140f

Scan History

Scan history not available

Unable to load historical scan data