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Security Scan Report: ujiberkala-dstj-dephub-go-id-v1-qr-rfid99-0uhewhs8u1.edgeone.app

Submitted: Feb 25, 2026, 1:31:21 PMCompleted: Feb 25, 2026, 1:32:35 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-go-id-v1-qr-rfid99-0uhewhs8u1.edgeone.app and was registered NaN years ago.

Submitted URL: https://ujiberkala-dstj-dephub-go-id-v1-qr-rfid99-0uhewhs8u1.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: 88%

0
Risk Score

No malicious activity detected; site appears legitimate.

Safety Factors
No credential or payment forms
No malicious Indicators of Compromise
No JavaScript malware detected
Standard hosting platform without suspicious activity
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇫🇷

French

(50% confidence)

Category

news media journalism

(42%)

Domain Information

You're looking at domain 'ujiberkala-dstj-dephub-go-id-v1-qr-rfid99-0uhewhs8u1.edgeone.app' on the application-focused generic top-level domain (.app) and includes subdomain 'ujiberkala-dstj-dephub-go-id-v1-qr-rfid99-0uhewhs8u1'. Count 7 characters in 'edgeone' containing 4 vowels alongside three consonants. Segmentation suggests 2 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://ujiberkala-dstj-dephub-go-id-v1-qr-rfid99-0uhewhs8u1.edgeone.app/

Page Load Overview

0.53s
Total Load Time
2
HTTP Requests
1
Domains
7 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:118 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as fr

Website Classification

Primary Category

news media journalism42% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
42%
healthcare medical
34%
gambling betting
31%
government public service
29%

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

T16752C7C5EFE61ACCB41BC0585FBE67292629E013D44CC59CB59E0EB08F44185B4FB2B8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBoMhBshBqrVhB0hBUhB4h1RaXQl:KrzhNK/lMHmGgdkqEgmrVoIkd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:13226:IBUCPHcUBbPQPRwGCQGiyAaChAAEHQRgFAIPIAAjyCMUQYMIRag0ywAzDS0CYIaAhzyWRwEkdEX6BCzMKAImqSoJPD4CRIUN

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:dcfcfcfcbc800000
Perceptual Hash:da9a6c6c9a6161c7
Difference Hash:3030787070000000
Wavelet Hash:dcfcfcfcfc808080
Color Hash:#40d22d

Other Hashes

Crop Resistant:3030787070000000

Scan History

Scan history not available

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