Security Scan Report: formal-green-e3c4wssxoz-s6gyan6y7l.edgeone.app

Submitted: Mar 13, 2026, 9:50:34 PMCompleted: Mar 13, 2026, 9:52:11 PMpubliccompleted
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Summary

This website contacted 6 IPs in 1 country across 6 domains to perform 18 HTTP transactions. The main domain is formal-green-e3c4wssxoz-s6gyan6y7l.edgeone.app and was registered NaN years ago.

Submitted URL: https://formal-green-e3c4wssxoz-s6gyan6y7l.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: 80%

2
Risk Score

No malicious activity detected; page is unreachable and poses low risk.

Risk Factors
Subdomain on hosting platform with unknown creation date
Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise detected
No JavaScript malware patterns detected
No network IDS alerts
Page title matches the domain (no brand impersonation)
Domain age information unavailable

Details

Page Title

Succession Planning in MNCs: L'Oréal Case Study

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(69%)

Domain Information

Domain 'formal-green-e3c4wssxoz-s6gyan6y7l.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'formal-green-e3c4wssxoz-s6gyan6y7l'. The core label 'edgeone' covers 7 characters holding 4 vowels versus 3 consonants. Tokenizing the label suggests 2 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://formal-green-e3c4wssxoz-s6gyan6y7l.edgeone.app/

Page Load Overview

8.17s
Total Load Time
1
HTTP Requests
1
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:834 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software69% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
69%
documentation technical
43%
adult content
36%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1146.75.122.208Singapore
0172.67.68.11Singapore
0104.21.31.228Singapore
0142.251.36.99Singapore
043.152.26.58Singapore
0142.251.13.95Singapore
16--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BB13C52977A4013B6C9380F6F061AB1DBA65D5C3DE2F86E5B6ED42416FC6EA70D43308

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:vPhLJ7lMRwApa0/zzR9mzt+WbQYXXH2ZCM6aEWW/AXbo3Qlvt7NOjVMFnS:vPhlKCA1R9at+WbQ9CM6aEW3kov5saS

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:43723:IAzgByHNkGajAJCMhaDCJqBDAIAPYVEGugABRs1VEAgQTYKClVkWDZD8RKBIwQigQQQKUBBM5AAIwptAEDHNDgUgmAthBU1A

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:ff001f3f7b730000
Perceptual Hash:8cbf62a4dcd384b1
Difference Hash:7777f5f1f7e7c1c1
Wavelet Hash:ff011f3f7b7b0000
Color Hash:#93591f

Scan History

Scan history not available

Unable to load historical scan data