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Security Scan Report: regular-black-p93dqft1mx-wpq5k4rqou.edgeone.app

Submitted: Jan 30, 2026, 7:12:48 PMCompleted: Jan 30, 2026, 7:16:42 PMpubliccompleted
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Summary

This website contacted 5 IPs in 2 countries across 6 domains to perform 15 HTTP transactions. The main domain is regular-black-p93dqft1mx-wpq5k4rqou.edgeone.app and was registered NaN years ago.

Submitted URL: https://regular-black-p93dqft1mx-wpq5k4rqou.edgeone.app/

AI Security Verdict

Moderate Risk

Confidence: 92%

4
Risk Score

Site appears to be a fraudulent financial mentorship offer; do not provide money or personal data.

Risk Factors
Potential fraudulent financial scheme offering money‑making mentorship
Safety Factors
Established domain age (>2 years)
No forms collecting passwords, emails, or payment details
No malicious Indicators of Compromise detected
Standard hosting without suspicious cloud storage or IPFS
Domain age information unavailable

Details

Page Title

Nurul Intan Ishak | Mentor Smartclass Official

Scan Type

public

Language

🇮🇩

ID

(80% confidence)

Category

healthcare medical

(65%)

Domain Information

Within the application-focused generic top-level domain (.app), 'regular-black-p93dqft1mx-wpq5k4rqou.edgeone.app' is registered; it also runs on subdomain 'regular-black-p93dqft1mx-wpq5k4rqou'. Count 7 characters in 'edgeone' with four vowels and 3 consonants. It segments into 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://regular-black-p93dqft1mx-wpq5k4rqou.edgeone.app/

Page Load Overview

232.38s
Total Load Time
15
HTTP Requests
0
Domains
N/A
Total Size

Language Analysis

Primary Language

🇮🇩Indonesian
Code: id
Confidence:80%
Script:Unknown
Direction:ltr

Detection Details

Language Code:id
Detection Confidence:80%
Script Type:Unknown
HTML Lang Attribute:id
Text Length:1,805 chars
Detector Agreement:50%

Website Classification

Primary Category

healthcare medical65% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
65%
social media network
48%
finance banking
44%
technology software
40%
education learning
34%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3104.17.24.14United States
AS13335Cloudflare, Inc.
3216.58.206.74United States
AS15169Google LLC
3104.26.3.143United States
AS13335Cloudflare, Inc.
3142.251.208.3United States
AS15169Google LLC
343.152.26.58Singapore
AS139341ACE
05--

Detected Technologies1

Tailwind CSS
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1260375243259103B2C93C5F6F286FE59E139A7D2EE2A86E9F9DC41116FD6DE34983304

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:/F98hnwimXAs1TNSJ+WbQbHikWgrQKOwJzP:ohRmXBj8qD

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:39147:KD1E0mHoFACgrmBGioUSBB0wAY2QBdBhQClRxwQlQj6BVUDcA0H1gRZSjAdCoICSCTKMSsgZT1AIrYQD8SkQQFHxjnQrbUAs

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:ffffffc3c3c3c3c3
Perceptual Hash:b4cfcb249b2c9b24
Difference Hash:e0869c969696969e
Wavelet Hash:7e82c3c3c3c3c3c3
Color Hash:#87c3c5

Other Hashes

Crop Resistant:e0869c969696969e,0101010101010003

Scan History

Scan history not available

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