Security Scan Report: symbolic-white-ymhwn313-dpifovglsbnv.edgeone.app

Submitted: Jun 23, 2026, 9:11:18 PMCompleted: Jun 23, 2026, 9:12:35 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is symbolic-white-ymhwn313-dpifovglsbnv.edgeone.app and was registered NaN years ago.

Submitted URL: https://symbolic-white-ymhwn313-dpifovglsbnv.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: 92%

2
Risk Score

The site shows no malicious indicators and contains no credential or payment forms; it is assessed as low risk.

Risk Factors
Subdomain on hosting platform with unknown age
Safety Factors
Absence of forms or data collection fields
No malicious external links or resources
Clean JavaScript (low obfuscation score)
No cross‑origin credential exfiltration
Domain age information unavailable

Details

Page Title

StudyPath AI — Prototype

Scan Type

public

Language

🇮🇩

ID

(80% confidence)

Category

documentation technical

(27%)

Domain Information

Domain 'symbolic-white-ymhwn313-dpifovglsbnv.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'symbolic-white-ymhwn313-dpifovglsbnv'. Its registrable label 'edgeone' stretches across 7 characters holding 4 vowels versus 3 consonants. Tokenizing the label suggests 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://symbolic-white-ymhwn313-dpifovglsbnv.edgeone.app/

Page Load Overview

0.90s
Total Load Time
2
HTTP Requests
1
Domains
17 KB
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:5,912 chars
Detector Agreement:50%

Website Classification

Primary Category

documentation technical27% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
27%
technology software
25%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A4739430A2B8153A7163A1917665935F77A6E207E90E42157AAC06F0CFCBFF1CD6728C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:CwMFkBcSVPpwOe+Ku71xanYzkhz/u+B3bU1roeXQIB:4uVRrA7xU1x

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:78891:EBNE46EEY2xQMnASgSTUB4YMGAQEwpEcCAL0BQRkRFyKBoEEVoSBYBsVsBgeAqPXcAsAiqgChRNioKQDAu5YAMbkIQRLIM+U

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:e7e7e7e7e7e7e7e7
Perceptual Hash:b33333339c663338
Difference Hash:4d4d4d4d4d4d4d4d
Wavelet Hash:c3c3c3c3c3c3c3c3
Color Hash:#3a5c78

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data