Security Scan Report: sg-000-mg-sdk.sudbiz.cloud

Submitted: Mar 22, 2026, 5:14:41 AMCompleted: Mar 22, 2026, 5:16:25 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is sg-000-mg-sdk.sudbiz.cloud and was registered NaN years ago.

Submitted URL: https://sg-000-mg-sdk.sudbiz.cloud

The Cisco Umbrella rank of the primary domain is #340,811 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 404 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(29% confidence)

Category

documentation technical

(38%)

Domain Information

Domain 'sg-000-mg-sdk.sudbiz.cloud' uses the .cloud top-level domain, featuring subdomain 'sg-000-mg-sdk'. The second-level label 'sudbiz' is 6 characters long with 2 vowels and four consonants. Breaking it apart gives 2 words: sud, biz. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://sg-000-mg-sdk.sudbiz.cloud

Page Load Overview

0.37s
Total Load Time
2
HTTP Requests
1
Domains
0 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:29%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:29%
Script Type:Latin
Text Length:201 chars
Detector Agreement:50%

Website Classification

Primary Category

documentation technical38% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
38%
technology software
35%
news media journalism
25%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
22.16.241.10Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
21--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10CD0C2EA5A2543C50C5956C159B240694A1462B526B34B9025D889AAAB89049CF399D4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:qzxO96QUsPVCJecN+GF6yoHyMQKf1gpLf/oy9nEcxFLD2LVOa:kxPQ/v0+GFOILfGsFLD2LVOa

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:46e1bbda38bb23673bdf84c1b90d4564

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:1f3fffffffffffff
Perceptual Hash:87070707070f0fff
Difference Hash:e0c0000000000000
Wavelet Hash:1030f0f0f0f0f0f0
Color Hash:#2d90d2

Other Hashes

Crop Resistant:e0c0000000000000

Scan History

Scan history not available

Unable to load historical scan data