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Security Scan Report: s-habitt-7kgixqcgbk.edgeone.app

Submitted: Apr 24, 2026, 10:04:47 AMCompleted: Apr 24, 2026, 10:06:10 AMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 1 HTTP transaction. The main domain is s-habitt-7kgixqcgbk.edgeone.app and was registered NaN years ago.

Submitted URL: https://s-habitt-7kgixqcgbk.edgeone.app/

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

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

The site shows no malicious activity, forms, or IoCs; despite unknown subdomain age and low ranking, it is assessed as low risk.

Risk Factors
Domain subdomain age unknown (could be brand‑new)
Low Cisco Umbrella ranking (#455,732) for the subdomain
Hosted on a generic hosting platform (.edgeone.app)
Safety Factors
Absence of credential or payment forms
No malicious Indicators of Compromise
No JavaScript malware detections
Low JS obfuscation score indicating standard minified code
Only benign external domains loaded
Domain age information unavailable

Details

Page Title

S-HabitT — by ShahejaN

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(74%)

Domain Information

The domain 's-habitt-7kgixqcgbk.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 's-habitt-7kgixqcgbk'. Count 7 characters in 'edgeone' with four vowels and 3 consonants. Word splitting yields two words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://s-habitt-7kgixqcgbk.edgeone.app/

Page Load Overview

0.80s
Total Load Time
6
HTTP Requests
3
Domains
122 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:3,456 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical74% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
74%
technology software
71%
documentation technical
66%
adult content
63%
government public service
61%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
AS139341ACE
2142.251.14.94United States
AS15169Google LLC
2192.178.183.95United States
AS15169Google LLC
63--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T109B3B861A1B4243121B38CD4A5F24F5B3A60D503D94BD350BAACA5D14FFBDE2CE2B29D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:dfERg6iyJaWAR+HqiruxBB2gRs7HMfUakBRAz1iNk1W9+ocVuEiMuQHLFhDBQlfG:Zc7HMfz6RAkK1W9+9uEiMGlfG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:116928:DNsh0JFIGsA1Mtw0BEvikACFAamQIE4CoQAXFPBHEiIAzKMQGEkHgQCRJBVyMBgIARpUICggeRI2RaxhkYSQ6kS4aYgShCEI

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:0103071f1f1f3f7f
Perceptual Hash:8836738d9d22cdcd
Difference Hash:fffffff7f3f7efff
Wavelet Hash:0103071f1f1f1f3f
Color Hash:#1f933c

Other Hashes

Crop Resistant:fffffff7f3f7efff

Scan History

Scan history not available

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