Security Scan Report: skolenmin-helper-n92imgk09f.edgeone.app

Site favicon
Submitted: Dec 7, 2025, 2:57:20 PMCompleted: Dec 7, 2025, 2:57:48 PMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is skolenmin-helper-n92imgk09f.edgeone.app.

Submitted URL: https://skolenmin-helper-n92imgk09f.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: 70%

2
Risk Score

Low risk tool; no immediate threats but domain is new and low‑reputation.

Risk Factors
Low domain reputation (Cisco Umbrella rank 455,732)
New/unestablished domain with no age information
Potential brand impersonation – uses SkolenMin name on a unrelated edgeone.app subdomain
Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise matches found
No phishing indicators detected
Domain age information unavailable

Details

Page Title

Auto Answer - AI Question Solver for SkolenMin

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(89%)

Domain Information

Within the application-focused generic top-level domain (.app), 'skolenmin-helper-n92imgk09f.edgeone.app' is registered, featuring subdomain 'skolenmin-helper-n92imgk09f'. Its registrable label 'edgeone' stretches across 7 characters holding 4 vowels versus three consonants. Breaking it apart gives 2 words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://skolenmin-helper-n92imgk09f.edgeone.app/

Page Load Overview

4.63s
Total Load Time
4
HTTP Requests
1
Domains
131 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:1,185 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning89% confidence
Type: static
Method: ml+structural

All Detected Categories

education learning
89%
technology software
56%
documentation technical
46%
government public service
46%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
443.152.26.58Singapore
41--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F2C2B754710C133C6D2F9B68EAC4A33CA029F541EEB7442AB14D0496D7C3FE569BBB98

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:PRO8U5Q6nBOmEAUU/cxksc64Jysq7vGJ0YbVYzBAOu:XsnB7cxksc64Jysq7vGJ0YbVYVDu

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:27455:AxJEyQEHYJclAAAiV3UaIAVICm8AjokMNAhBkjIAgIBBqSSJVABBQwUUhSjQIWwj4QgSDBPEww8gGYJDDEEqQwIABKqyFEAI

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:c1d9db1b19010125
Perceptual Hash:88fd7262031d73b3
Difference Hash:01333333f3317155
Wavelet Hash:f1dbdb1b0319013d
Color Hash:#87c595

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data