Security Scan Report: app.sugarmate.io

Submitted: Apr 12, 2026, 1:55:35 PMCompleted: Apr 12, 2026, 1:56:48 PMpubliccompleted
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Summary

This website contacted 6 IPs in 2 countries across 7 domains to perform 1 HTTP transaction. The main domain is app.sugarmate.io and was registered NaN years ago.

Submitted URL: https://app.sugarmate.io

The Cisco Umbrella rank of the primary domain is #672,881 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 80%

1
Risk Score

The site appears legitimate with no malicious indicators; low risk.

Safety Factors
Well‑established domain (>9 years)
No forms or credential collection
No malicious Indicators of Compromise
No JavaScript malware signatures
Low‑risk hosting (standard, not cloud storage or IPFS)
Domain age information unavailable

Details

Page Title

Sugarmate

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(39%)

Domain Information

Domain 'app.sugarmate.io' uses the British Indian Ocean Territory country-code top-level domain (.io) and includes subdomain 'app'. The second-level label 'sugarmate' is 9 characters long split between 4 vowels and 5 consonants. Segmentation suggests 2 words: sugar, mate. Expect 4.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://app.sugarmate.io

Page Load Overview

1.48s
Total Load Time
15
HTTP Requests
8
Domains
71 KB
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:415 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism39% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
39%
healthcare medical
39%
government public service
35%
technology software
34%
documentation technical
33%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5142.251.14.94United States
AS15169Google LLC
220.9.155.148United States
AS8075Microsoft Corporation
2150.171.109.194United States
AS8075Microsoft Corporation
2142.251.14.95United States
AS15169Google LLC
265.9.175.117NetherlandsUnknown
220.8.24.149Amsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
156--

Detected Technologies2

40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T160643AE9A5F42622452FDA15F0438667DF9360D71C118EE5E8CE28C40FF6B9EB2B150B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:SuWltOju4Q92i2ZBxu5Z9f9oz2+CjwvF/JYKrzHfVBxjWbN3i0OOlNu1u6P42ZRv:SuWrP592zZC5Z9f9oz2+CjwvF/JYKrzl

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:337090:hUAB9M/CIiQNSYMaTBYhnLJlADS4ySzCFAlQhCQGCCJwyFYmAEOcIgCIAFYaQT6CIEAQBi2BAgqJBiyXAVVAGpKGFdikQiBh

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:ffffe7e7ffffffff
Perceptual Hash:b332cccc99336666
Difference Hash:08000c0c10000000
Wavelet Hash:ffffe7c300000000
Color Hash:#d29179

Other Hashes

Crop Resistant:08000c0c10000000

Scan History

Scan history not available

Unable to load historical scan data