Security Scan Report: gifts.sugarwish.com

Submitted: May 24, 2026, 7:40:57 AMCompleted: May 24, 2026, 7:43:59 AMpubliccompleted
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Summary

This website contacted 14 IPs in 3 countries across 14 domains to perform 62 HTTP transactions. The main domain is gifts.sugarwish.com and was registered NaN years ago.

Submitted URL: https://gifts.sugarwish.com

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

Sugarwish - Send Personalized Gift Boxes | Let Them Choose Their Favorites | Sugarwish

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(35%)

Domain Information

You're looking at domain 'gifts.sugarwish.com' on the commercial generic top-level domain (.com), featuring subdomain 'gifts'. The core label 'sugarwish' covers 9 characters holding 3 vowels versus six consonants. Word splitting yields two words: sugar, wish. Average segment length settles at 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://gifts.sugarwish.com

Page Load Overview

N/A
Total Load Time
62
HTTP Requests
0
Domains
N/A
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
Text Length:4,886 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate35% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

corporate
35%
e-commerce shopping
35%
corporate business
34%
documentation technical
34%
social media network
28%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1018.64.211.112United States
AS16509Amazon.com, Inc.
4142.250.154.97United States
AS15169Google LLC
4172.64.155.96United States
AS13335Cloudflare, Inc.
43.123.183.18Frankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
444.219.109.100Ashburn, Virginia, United States
AS14618Amazon.com, Inc.
4165.232.93.253Amsterdam, North Holland, Netherlands
AS14061DigitalOcean, LLC
423.45.100.40Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
4146.75.122.133Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
418.213.44.131Ashburn, Virginia, United States
AS14618Amazon.com, Inc.
43.217.132.161Ashburn, Virginia, United States
AS14618Amazon.com, Inc.
014--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C2D383216EBCE06E615340E8EA70D70AD5E9D153C549DD9C76EC6A2C8F93ACB8C2314F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:D5XzPPW7AAWhqYVP8OjyvZrHyuIzItm9gysEZ9c4Sn/EGlc7w/5fGefR74FXpVlr:1T9AY+HyuI19gysWnS8Glc7+74pF

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:134234:oAGEgaPvwI8UDcQ0EB9wNIEEDHwiFNCBQCgQGYAAcBvmkBawFpwQDgAAQURMChhAZCgBbHJ0RkABDhVn25HDKRuoYSAe8CoG

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:fbf1f1f131313f3f
Perceptual Hash:8bf89507f2970b13
Difference Hash:23232323e3e3cdcb
Wavelet Hash:f9d191f111313f23
Color Hash:#40b9bf

Scan History

Scan history not available

Unable to load historical scan data