Security Scan Report: selective-green-i7pkkci9ow-9bwc50g3am.edgeone.app

Submitted: Mar 11, 2026, 5:19:28 PMCompleted: Mar 11, 2026, 5:21:02 PMpubliccompleted
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Summary

This website contacted 3 IPs in 1 country across 3 domains to perform 15 HTTP transactions. The main domain is selective-green-i7pkkci9ow-9bwc50g3am.edgeone.app and was registered NaN years ago.

Submitted URL: https://selective-green-i7pkkci9ow-9bwc50g3am.edgeone.app/

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 security concerns detected; the site appears legitimate.

Safety Factors
No credential or payment collection fields
No external malicious links or redirects
Content appears to be a generic SaaS description in French
Hosted on a standard hosting platform without known malicious activity
Domain age information unavailable

Details

Page Title

LMS B2B Multi-Tenant - Plan d'Implementation

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(66%)

Domain Information

The domain 'selective-green-i7pkkci9ow-9bwc50g3am.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'selective-green-i7pkkci9ow-9bwc50g3am'. Count 7 characters in 'edgeone' split between 4 vowels and three consonants. Splitting it apart reveals two words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://selective-green-i7pkkci9ow-9bwc50g3am.edgeone.app/

Page Load Overview

8.16s
Total Load Time
2
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:843 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software66% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
66%
documentation technical
35%
adult content
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2172.217.16.202Singapore
0142.251.127.94Singapore
043.152.26.58Singapore
23--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D5330F8539FA36523C0249A5AB517F532EE48037930385A47D9F9BFB4F88EE0426371B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:GTBx65LMqIy98qsWo8rehM+1SfFsbE0SL1qk:G21Iw8qzP6umSfFsbE0SIk

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:54949:0RCFoACQwm4yOW1RGSK1AMCSIlAAGECcmVCOogQMcJMglIAABDiQ4iBWISCQcBFCKRJEJ0GxjKAgSmEBAIXMZzKYpzJEahGE

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:ffffe7e7e7e7fffc
Perceptual Hash:f6a3dc895ca37222
Difference Hash:00004d0c0c0c0024
Wavelet Hash:3e3e2626c2e6fe00
Color Hash:#78583a

Other Hashes

Crop Resistant:00004d0c0c0c0024

Scan History

Scan history not available

Unable to load historical scan data