Security Scan Report: ujiberkala-dstj-dephub-v1-qr-rfid503-cp6bv772hc.edgeone.app

Submitted: Feb 6, 2026, 2:06:44 PMCompleted: Feb 6, 2026, 2:07:57 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-rfid503-cp6bv772hc.edgeone.app and was registered NaN years ago.

Submitted URL: https://ujiberkala-dstj-dephub-v1-qr-rfid503-cp6bv772hc.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: 95%

0
Risk Score

No security concerns detected; site appears legitimate but currently unreachable.

Safety Factors
Well‑established domain (>2 years old)
No malicious Indicators of Compromise matches
No login or payment forms present
Standard hosting environment
Low ranking mitigated by domain age
Domain age information unavailable

Details

Page Title

ujiberkala-dstj-dephub-v1-qr-rfid503-cp6bv772hc.edgeone.app

Scan Type

public

Language

🇫🇷

French

(29% confidence)

Category

news media journalism

(69%)

Domain Information

Within the application-focused generic top-level domain (.app), 'ujiberkala-dstj-dephub-v1-qr-rfid503-cp6bv772hc.edgeone.app' is registered with subdomain 'ujiberkala-dstj-dephub-v1-qr-rfid503-cp6bv772hc'. The core label 'edgeone' covers 7 characters with 4 vowels and three consonants. Word splitting yields 2 words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ujiberkala-dstj-dephub-v1-qr-rfid503-cp6bv772hc.edgeone.app/

Page Load Overview

2.68s
Total Load Time
2
HTTP Requests
1
Domains
3 KB
Total Size

Language Analysis

Primary Language

🇫🇷French
Code: fr
Confidence:29%
Script:Latin
Direction:ltr

Detection Details

Language Code:fr
Detection Confidence:29%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:107 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as fr

Website Classification

Primary Category

news media journalism69% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
69%
cryptocurrency blockchain
63%
government public service
63%
healthcare medical
62%
finance banking
59%

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

T18F048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:LfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszs2bMy8OldK:0hoC9JSqzzbs6o3Sj3gcrsI2eAA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184686:ABmhEgkSHTCACIQRiMVUSoeQDAJKJAExGUAWgFYhgkDBJBh/oEGmiDzzIENxkUHsHSBEADawEwgiZiUaJDpsDAAoIwCLoJRO

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:3f1f03070f0f0f0f
Color Hash:#6ccae0

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data