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Security Scan Report: ujiberkala-dstj-dephub-v1-qr-rfid504-ylstfkt3al.edgeone.app

Submitted: Feb 7, 2026, 3:00:07 PMCompleted: Feb 7, 2026, 3:01:17 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is ujiberkala-dstj-dephub-v1-qr-rfid504-ylstfkt3al.edgeone.app and was registered NaN years ago.

Submitted URL: https://ujiberkala-dstj-dephub-v1-qr-rfid504-ylstfkt3al.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: 92%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Well‑established domain (>2 years)
Minimal risk category
Low ranking does not indicate malicious activity alone
No external domains or redirects
Domain age information unavailable

Details

Page Title

ujiberkala-dstj-dephub-v1-qr-rfid504-ylstfkt3al.edgeone.app

Scan Type

public

Language

🇫🇷

French

(50% confidence)

Category

news media journalism

(37%)

Domain Information

The domain 'ujiberkala-dstj-dephub-v1-qr-rfid504-ylstfkt3al.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'ujiberkala-dstj-dephub-v1-qr-rfid504-ylstfkt3al'. Its registrable label 'edgeone' stretches across 7 characters with 4 vowels and three consonants. Breaking it apart gives two words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ujiberkala-dstj-dephub-v1-qr-rfid504-ylstfkt3al.edgeone.app/

Page Load Overview

2.88s
Total Load Time
2
HTTP Requests
1
Domains
3 KB
Total Size

Language Analysis

Primary Language

🇫🇷French
Code: fr
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:fr
Detection Confidence:50%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:76 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as fr

Website Classification

Primary Category

news media journalism37% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
37%
healthcare medical
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
AS139341ACE
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AB048E77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:BfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszk2bMy8OldC:mhoC9JSqzzbs6o3Sj3gcrsQ2eA4

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184686:4AhmCBQQESAAFrIxKIQEUUYQBEgEAEEQgESPoAZAwJLEBIkdBMA4iUEzwGnYoWVNAYCOTAqgpugRzCQkJCHABCRkY3AACKKY

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:ffcfc3c7ffffffff
Perceptual Hash:b331cccccc333333
Difference Hash:00180c1c00000000
Wavelet Hash:ffdfc3c700000000
Color Hash:#404cbf

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data