Security Scan Report: robolaweb-vhl37zskad.edgeone.dev

Site favicon
Submitted: Dec 11, 2025, 8:12:35 PMCompleted: Dec 11, 2025, 8:13:14 PMpubliccompleted
Loading additional data...

Summary

This website contacted 2 IPs in 1 country across 1 domain to perform 6 HTTP transactions. The main domain is robolaweb-vhl37zskad.edgeone.dev and was registered NaN years ago.

Submitted URL: https://robolaweb-vhl37zskad.edgeone.dev/

AI Security Verdict

High Risk

Confidence: 88%

7
Risk Score

Impersonates GitHub on a low‑reputation domain; high‑risk phishing.

Risk Factors
Brand impersonation (GitHub) on unrelated domain
Unranked domain with low reputation
Recent domain registration (< 6 months)
Domain age information unavailable

Details

Page Title

Robola Web MJCF Editor

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(46%)

Domain Information

Domain 'robolaweb-vhl37zskad.edgeone.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'robolaweb-vhl37zskad'. The registrable portion 'edgeone' spans 7 characters split between 4 vowels and three consonants. It segments into 2 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://robolaweb-vhl37zskad.edgeone.dev/

Page Load Overview

9.35s
Total Load Time
6
HTTP Requests
1
Domains
1.1 MB
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:2,035 chars
Detector Agreement:75%

Website Classification

Primary Category

technology software46% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
46%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
343.174.247.29Singapore
343.174.246.29Singapore
62--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15C248804B24723357AAEDB66E468668B303AF043F4EDDDFFF5583AD49A4ED258049903

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:QfqRSAwRKOcQyWrHnhFpaigDOnEE8YHIhPsNBcEY+O+/u:QfqRm4OfrHnhFYigDOn7Ihp+O+/u

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:215732:qCBNcBEpgCIyRYSsEkgIIFACEEAasAjETchOZIgRQYIQSIgN0EjEZgyQGy+pIBIjGGFsYZikYLBAiuogEhBAJAoOWUgQEGAr

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:fef11131bfffffff
Perceptual Hash:ed6dd09296974968
Difference Hash:885373736c830c0d
Wavelet Hash:fe00000111ffe7ff
Color Hash:#1f9336

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data