Security Scan Report: sdichealth-i03y78aomo.edgeone.app

Submitted: Jan 18, 2026, 12:07:37 AMCompleted: Jan 18, 2026, 12:08:58 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is sdichealth-i03y78aomo.edgeone.app and was registered NaN years ago.

Submitted URL: https://sdichealth-i03y78aomo.edgeone.app/404.html

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No suspicious activity detected; the page appears legitimate.

Safety Factors
Well‑established domain (> 365 days)
No credential or payment collection fields
No external links or redirects
Domain age information unavailable

Details

Page Title

404

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain 'sdichealth-i03y78aomo.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'sdichealth-i03y78aomo'. Its registrable label 'edgeone' stretches across 7 characters with 4 vowels and three consonants. Breaking it apart gives two words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://sdichealth-i03y78aomo.edgeone.app/404.html

Page Load Overview

0.55s
Total Load Time
2
HTTP Requests
1
Domains
5 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:3 chars
Detector Agreement:0%

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
243.152.26.58Singapore
21--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DB81DEDE28A301419623F1384FEB52682138F197554ACC68BFCD528ECF85A9C1AD6B89

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:Th1IAsIjvdqPjsHzYkF0oRtfsU+77DygsK+g1PM+pi0sK+g1PM+pizLLenAiPLLu:N1IAsIjv8PjsHzYkF0oRtUUa7DygsK+B

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3887:IESBEgAIEAMACAAAAgAABCQkCAAAgABQAkjAyACIRAAAgABAAgoChAwYAAABBLAwAQAJJAAAgkAAASQQkgQGAQAQAAQAAAhY

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:0018181800000000
Perceptual Hash:9999666666666699
Difference Hash:0030301010000000
Wavelet Hash:041c3c3c18000000
Color Hash:#6953ac

Other Hashes

Crop Resistant:0030301010000000

Scan History

Scan history not available

Unable to load historical scan data